European Lighthouse of AI for Sustainability

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

First release of methods for Sustainable AI

The first release of methods developed in T1.2-T1.5

First release of AI tools for a sustainable society

The first release of algorithms developed in T2.2-T2.3-T2.4

First release of tools for Trustworthy AI

The first release of algorithms developed in T3.2-T3.4.

First annual report on the young talents program implementation

First report of actions implemented in ELIAS for supporting young European talents at the doctoral and master levels.

First periodic report on the European Innovation Alliance

Report on the creation and the activities of the newly established EIA

First ELIAS Communication, Dissemination and Exploitation Report

First periodic report on ELIAS strategic approach for dissemination, communication and exploitation.

Pubblicazioni

Sharp Spectral Rates for Koopman Operator Learning. Neural Information Processing

Autori: V.R. Kostic, K. Lounici, P. Novelli, M. Pontil
Pubblicato in: Neural Information Processing Systems (NeurIPS), 2023
Editore: NeurIPS
DOI: 10.48550/arXiv:2302.02004

Transfer learning for atomistic simulations using GNNs and kernel mean embeddings

Autori: Falk, JI; Bonati, L; Novelli, P; Parrinello, M; Pontil, M
Pubblicato in: In: Oh, Alice and Naumann, Tristan and Globerson, Amir and Saenko, Kate and Hardt, Moritz and Levine, Sergey, (eds.) Advances in Neural Information Processing Systems. (2023), 2023
Editore: NeurIPS
DOI: 10.48550/arxiv.2306.01589

No-Regret Learning in Bilateral Trade via Global Budget Balance

Autori: Martino Bernasconi; Matteo Castiglioni; Andrea Celli; Federico Fusco
Pubblicato in: Proceedings of the 56th Annual ACM Symposium on Theory of Computing, 2024
Editore: ACM
DOI: 10.48550/ARXIV.2310.12370

Task-recency bias strikes back: Adapting covariances in Exemplar-Free Class Incremental Learning

Autori: Rypeść, Grzegorz; Cygert, Sebastian; Trzcinski, Tomasz; Twardowski, Bartłomiej
Pubblicato in: The Thirty-Eighth Annual Conference on Neural Information Processing Systems, 2024
Editore: NeurIPS
DOI: 10.5281/zenodo.14409015

Sharing Key Semantics in Transformer Makes Efficient Image Restoration

Autori: Ren, B., Li, Y., Liang, J., Ranjan, R., Liu, M., Cucchiara, R., van Gool, L., Yang, M.-H., & Sebe, N.
Pubblicato in: Neural Information Processing Systems (NeurIPS), 2024
Editore: NeurIPS
DOI: 10.48550/arXiv.2405.20008

Novel Class Discovery for Ultra-Fine-Grained Visual Categorization

Autori: Liu, Yu; Cai, Yaqi; Jia, Qi; Qiu, Binglin; Wang, Weimin; Pu, Nan
Pubblicato in: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
Editore: IEEE
DOI: 10.48550/ARXIV.2405.06283

Iterative Explainability for Weakly Supervised Segmentation in Medical PE Detection

Autori: Condrea, Florin; Rapaka, Saikiran; Leordeanu, Marius
Pubblicato in: 2024, ISSN 1876-1100
Editore: Springer
DOI: 10.48550/ARXIV.2412.07384

Linear Bandits with Memory

Autori: Giulia Clerici; Pierre Laforgue; N. Cesa Bianchi
Pubblicato in: Trans. Mach. Learn. Res., 2024
Editore: TMLR
DOI: 10.5281/ZENODO.13880461

TORE: Token Recycling in Vision Transformers for Efficient Active Visual Exploration

Autori: Olszewski, Jan; Rymarczyk, Dawid; Wójcik, Piotr; Pach, Mateusz; Zieliński, Bartosz
Pubblicato in: 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025
Editore: IEEE
DOI: 10.48550/ARXIV.2311.15335

RMLR: Extending Multinomial Logistic Regression into General Geometries

Autori: Ziheng Chen, Yue Song, Rui Wang, Xiao-Jun Wu, Nicu Sebe
Pubblicato in: Neural Information Processing Systems (NeurIPS), 2024
Editore: NeurIPS
DOI: 10.48550/arXiv.2409.19433

Connectivity-Driven Pseudo-Labeling Makes Stronger Cross-Domain Segmenters

Autori: Zhao, D., Zang, Q., Wang, S., Sebe, N., & Zhong, Z.
Pubblicato in: Neural Information Processing Systems (NeurIPS), December 2024, 2024
Editore: NeurIPS
DOI: 10.48550/arXiv.2312.06331

Resurrecting Old Classes with New Data for Exemplar-Free Continual Learning

Autori: Goswami, Dipam; Soutif–Cormerais, Albin; Yuyang, Liu; Sandesh, Kamath; Twardowski, Bartłomiej; van de Weijer, Joost
Pubblicato in: The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Editore: IEEE
DOI: 10.5281/ZENODO.12544249

A Characterization Theorem for Equivariant Networks with Point-wise Activations

Autori: M. Pacini, X. Dong, B. Lepri, and G. Santin
Pubblicato in: International Conference on Learning Representations 2024 (ICLR 2024)
Editore: ICLR
DOI: 10.48550/ARXIV.2401.09235

Best-of-Both-Worlds Algorithms for Linear Contextual Bandits

Autori: Kuroki, Yuko; Rumi, Alberto; Tsuchiya, Taira; Vitale, Fabio; Cesa-Bianchi, Nicolò
Pubblicato in: Aritifical Intelligence and Statistics Conference (AISTATS) 2024
Editore: PMLR
DOI: 10.5281/ZENODO.13880712

A Lie Group Approach to Riemannian Normalization for SPD Neural Networks

Autori: Z. Chen, Y. Song, Y. Liu, and N. Sebe
Pubblicato in: International Conference on Learning Representations (ICLR)
Editore: ICLR
DOI: 10.48550/ARXIV.2403.11261

Bringing Masked Autoencoders Explicit Contrastive Properties for Point Cloud Self-supervised Learning

Autori: Bin Ren, Guofeng Mei, Danda Pani Paudel, Weijie Wang, Yawei Li, Mengyuan Liu, Rita Cucchiara, Luc Van Gool, Nicu Sebe
Pubblicato in: Lecture Notes in Computer Science, Computer Vision – ACCV 2024, 2024
Editore: Springer Nature Singapore
DOI: 10.1007/978-981-96-0963-5_4

Debiasing Surgeon: Fantastic Weights and How to Find Them

Autori: Nahon, Rémi; De Moura Matos, Ivan Luiz; Nguyen, Van-Tam; TARTAGLIONE, ENZO
Pubblicato in: European Conference on Computer Vision, 2024
Editore: Springer
DOI: 10.1007/978-3-031-73013-9_25

Is Multiple Object Tracking a Matter of Specialization?

Autori: Gianluca Mancusi; Mattia Bernardi; Aniello Panariello; Angelo Porrello; Rita Cucchiara; Simone Calderara
Pubblicato in: Advances in Neural Information Processing Systems 37, 2024, ISSN 1049-5258
Editore: NeurIPS
DOI: 10.48550/ARXIV.2411.00553

A deep cut into Split Federated Self-supervised Learning

Autori: Przewięźlikowski, Marcin; Osial, Marcin; Zieliński, Bartosz; Śmieja, Marek
Pubblicato in: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD)
Editore: Springer
DOI: 10.5281/ZENODO.12546665

Finding the PG schema of any (semi)structured dataset: a tale of graphs and abstraction

Autori: Barret, Nelly; Enache, Tudor; Manolescu, Ioana; Mohanty, Madhulika
Pubblicato in: 2024 IEEE 40th International Conference on Data Engineering Workshops (ICDEW), 2024
Editore: IEEE
DOI: 10.1109/ICDEW61823.2024.00055

Revisiting Supervision for Continual Representation Learning

Autori: Marczak, Daniel; Cygert, Sebastian; Trzciński, Tomasz; Twardowski, Bartłomiej
Pubblicato in: The 18th European Conference on Computer Vision (ECCV)
Editore: Springer
DOI: 10.5281/ZENODO.13841791

On the Brazilian Observatory for Artificial Intelligence

Autori: Rafael Meira Silva, Cristina Godoy Oliveira, Luiz Costa, Joao Paulo Candia Vieira and Joao Pita Costa
Pubblicato in: In Proceedings of the SIKDD 2024
Editore: Jožef Stefan Instutute
DOI: 10.70314/IS.2024.SIKDD.18

FairShap: A Data Re-weighting Approach for Algorithmic Fairness based on Shapley Values

Autori: Adrian, Rodriguez; Oliver, Nuria
Pubblicato in: ICLR 2024 workshop on Data-centric Machine Learning Research (DMLR)
Editore: ICLR
DOI: 10.48550/ARXIV.2303.01928

Improving Fairness using Vision-Language Driven Image Augmentation

Autori: D'Inca`, Moreno; Tzelepis, Christos; Patras, Ioannis; Sebe, Nicu
Pubblicato in: 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024
Editore: IEEE
DOI: 10.48550/arxiv.2311.01573

FactCheckBureau: Build Your Own Fact-Check Analysis Pipeline

Autori: Gaur, Garima
Pubblicato in: CIKM, 2024
Editore: ACM
DOI: 10.1145/3627673.3679220

Putting Context in Context: the Impact of Discussion Structure on Text Classification

Autori: Penzo, Nicolò; Longa, Antonio; Lepri, Bruno; Tonelli, Sara; Guerini, Marco
Pubblicato in: 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2024
Editore: ACL
DOI: 10.48550/arxiv.2402.02975

Category Adaptation Meets Projected Distillation in Generalized Continual Category Discovery

Autori: Rypeść, Grzegorz; Marczak, Daniel; Cygert, Sebastian; Trzciński, Tomasz; Twardowski, Bartłomiej
Pubblicato in: The 18th European Conference on Computer Vision (ECCV)
Editore: Springer Science+Business Media
DOI: 10.5281/ZENODO.13833979

Riemannian Multinomial Logistics Regression for SPD Neural Networks

Autori: Chen, Ziheng; Song, Yue; Liu, Gaowen; Rao Kompella, Ramana; Wu, Xiao-Jun; Sebe, Nicu
Pubblicato in: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
Editore: IEEE
DOI: 10.1109/CVPR52733.2024.01617

Multitask Learning with No Regret: from Improved Confidence Bounds to Active Learning

Autori: Pier Giuseppe Sessa; Pierre Laforgue; N. Cesa Bianchi; Andreas Krause
Pubblicato in: Advances in Neural Information Processing Systems 36, 2023
Editore: NeurIPS
DOI: 10.48550/arxiv.2308.01744

Training-Free Open-Vocabulary Segmentation with Offline Diffusion-Augmented Prototype Generation

Autori: Barsellotti, Luca; Amoroso, Roberto; Cornia, Marcella; Baraldi, Lorenzo; Cucchiara, Rita
Pubblicato in: CVF/IEEE International Conference on Computer Vision and Pattern Recognitiom (CVPR)
Editore: IEEE
DOI: 10.1109/CVPR52733.2024.00354

MassSpecGym: A benchmark for the discovery and identification of molecules

Autori: Bushuiev, Roman; Bushuiev, Anton; de Jonge, Niek F.; Young, Adamo; Kretschmer, Fleming; Samusevich, Raman; Heirman, Janne; Wang, Fei; Zhang, Luke; Dührkop, Kai; Ludwig, Marcus; Haupt, Nils A.; Kalia, Apurva; Brungs, Corinna; Schmid, Robin; Greiner, Russell; Wang, Bo; Wishart, David S.; Liu, Li Ping; Rousu, Juho; Bittremieux, Wout; Rost, Hannes; Mak, Tytus D.; Hassoun, Soha; Huber, Florian; van der Hooft, Justin J.J.; Stravs, Michael A.; Böcker, Sebastian; Sivic, Josef; Pluskal, Tomáš
Pubblicato in: Advances in Neural Information Processing Systems 37, 2024, ISSN 1049-5258
Editore: NeurIPS
DOI: 10.48550/ARXIV.2410.23326

MagMax: Leveraging Model Merging for Seamless Continual Learning

Autori: Marczak, Daniel; Twardowski, Bartłomiej; Trzciński, Tomasz; Cygert, Sebastian
Pubblicato in: The 18th European Conference on Computer Vision (ECCV)
Editore: Springer
DOI: 10.5281/ZENODO.13850756

Calibrating Higher-Order Statistics for Few-Shot Class-Incremental Learning with Pre-trained Vision Transformers

Autori: Dipam Goswami; Bartlomiej Twardowski; Joost van de Weijer 0001
Pubblicato in: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2024, ISSN 2160-7516
Editore: IEEE
DOI: 10.48550/ARXIV.2404.06622

AdaGlimpse: Active Visual Exploration with Arbitrary Glimpse Position and Scale

Autori: Adam Pardyl, Michał Wronka, Maciej Wołczyk, Kamil Adamczewski, Tomasz Trzciński, Bartosz Zieliński
Pubblicato in: Lecture Notes in Computer Science, Computer Vision – ECCV 2024, 2024
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-72664-4_7

Online Bayesian Persuasion Without a Clue

Autori: Francesco Bacchiocchi; Matteo Bollini; Matteo Castiglioni; Alberto Marchesi 0001; Nicola Gatti 0001
Pubblicato in: Advances in Neural Information Processing Systems 37, 2024, ISSN 1049-5258
Editore: NeurIPS
DOI: 10.48550/ARXIV.2411.06141

Beyond Grids: Exploring Elastic Input Sampling for Vision Transformers

Autori: Pardyl, Adam; Kurzejamski, Grzegorz; Olszewski, Jan; Trzciński, Tomasz; Zieliński, Bartosz
Pubblicato in: 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025
Editore: IEEE
DOI: 10.48550/ARXIV.2309.13353

Personalized Instance-based Navigation Toward User-Specific Objects in Realistic Environments

Autori: Barsellotti, Luca; Bigazzi, Roberto; Cornia, Marcella; Baraldi, Lorenzo; Cucchiara, Rita
Pubblicato in: Thirty-Eighth Annual Conference on Neural Information Processing Systems
Editore: NeurIPS
DOI: 10.5281/ZENODO.14031716

Automatic Gain Tuning for Humanoid Robots Walking Architectures Using Gradient-Free Optimization Techniques

Autori: Sartore C.; Rando M.; Romualdi G.; Molinari C.; Rosasco L.; Pucci D.
Pubblicato in: 2024 IEEE-RAS 23rd International Conference on Humanoid Robots (Humanoids), 2024
Editore: IEEE
DOI: 10.48550/ARXIV.2409.18649

OpenBias: Open-set Bias Detection in Generative Models

Autori: D'Inca, Moreno; Peruzzo, Elia; Mancini, Massimiliano; Xu, Dejia; Goel, Vidit; Xu, Xingqian; Wang, Zhangyang; Shi, Humphrey; Sebe, Nicu
Pubblicato in: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
Editore: IEEE
DOI: 10.1109/CVPR52733.2024.01162

UVMap-ID: A Controllable and Personalized UV Map Generative Model

Autori: Weijie Wang, Jichao Zhang, Chang Liu, Xia Li, Xingqian Xu, Humphrey Shi, Nicu Sebe, Bruno Lepri
Pubblicato in: Proceedings of the 32nd ACM International Conference on Multimedia, 2024
Editore: ACM
DOI: 10.1145/3664647.3680861

The Role of Transparency in Repeated First-Price Auctions with Unknown Valuations

Autori: Nicolo Cesa-Bianchi, Tommaso Cesari, Roberto Colomboni, Federico Fusco, Stefano Leonardi
Pubblicato in: Proceedings of the 56th Annual ACM Symposium on Theory of Computing, Numero 49, 2024
Editore: ACM
DOI: 10.1145/3618260.3649658

Linear Bandits with Memory

Autori: CLERICI, GIULIA; Laforgue, Pierre; Cesa-Bianchi, Nicolò Antonio
Pubblicato in: Transactions on Machine Learning Research, ISSN 2835-8856
Editore: TMLR
DOI: 10.5281/ZENODO.13880461

Resurrecting Old Classes with New Data for Exemplar-Free Continual Learning

Autori: Goswami, Dipam; Soutif–Cormerais, Albin; Yuyang, Liu; Sandesh, Kamath; Twardowski, Bartłomiej; van de Weijer, Joost
Pubblicato in: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024, ISSN 2575-7075
Editore: IEEE
DOI: 10.5281/ZENODO.12544248

Prototypical Hash Encoding for On-the-Fly Fine-Grained Category Discovery

Autori: Haiyang Zheng; Nan Pu; Wenjing Li; Nicu Sebe; Zhun Zhong
Pubblicato in: Advances in Neural Information Processing Systems 37, 2024, ISSN 1049-5258
Editore: NeurIPS
DOI: 10.48550/ARXIV.2410.19213

Structural Group Unfairness: Measurement and Mitigation by means of the Effective Resistance

Autori: A. Arnaiz-Rodriguez, G. Curto and N. Oliver
Pubblicato in: WWW 2024 workshop on Trustworthy Learning on Graphs (TrustLOG)
Editore: ACM

Optimizing Resource Consumption in Diffusion Models through Hallucination Early Detection

Autori: Betti, Federico; Baraldi, Lorenzo; Baraldi, Lorenzo; Cucchiara, Rita; Sebe, Nicu
Pubblicato in: European Conference on Computer Vision Workshops
Editore: Springer
DOI: 10.5281/ZENODO.14031722

Exploiting Activation Sparsity with Dense to Dynamic-k Mixture-of-Experts Conversion

Autori: Szatkowski, Filip; Wójcik, Bartosz; Piórczyński, Mikołaj; Scardapane, Simone
Pubblicato in: The Thirty-Eighth Annual Conference on Neural Information Processing Systems, 2024
Editore: NeurIPS
DOI: 10.5281/ZENODO.14409485

SpectralCLIP: Preventing Artifacts in Text-Guided Style Transfer from a Spectral Perspective

Autori: Xu, Zipeng; Xing, Songlong; Sangineto, Enver; Sebe, Nicu
Pubblicato in: 2024 IEEE Winter Conference on Applications of Computer Vision, WACV 2024, 2024
Editore: IEEE
DOI: 10.48550/arxiv.2303.09270

The Simpler The Better: An Entropy-Based Importance Metric To Reduce Neural Networks' Depth

Autori: V. Quétu, Z. Liao, E. Tartaglione
Pubblicato in: Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML-PKDD), 2024
Editore: Springer
DOI: 10.1007/978-3-031-70365-2_6

Building an African Water Observatory from Open Data and AI

Autori: J. Pita Costa, M. Zaouini, M. Polzer, G. Corzo Perez, M. Crnko, D. Orlic and M. Jermol
Pubblicato in: HHAI 2024 WORKSHOP, 2024
Editore: ZENODO
DOI: 10.5281/zenodo.14900575

LumiGauss: Relightable Gaussian Splatting in the Wild

Autori: Joanna Kaleta; Kacper Kania; Tomasz Trzcinski; Marek Kowalski
Pubblicato in: 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025
Editore: IEEE
DOI: 10.48550/ARXIV.2408.04474

ShowHowTo: Generating Scene-Conditioned Step-by-Step Visual Instructions

Autori: Tomás Soucek; Prajwal Gatti; Michael Wray; Ivan Laptev; Dima Damen; Josef Sivic
Pubblicato in: 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025
Editore: IEEE
DOI: 10.48550/ARXIV.2412.01987

LESS: Label-Efficient and Single-Stage Referring 3D Segmentation

Autori: Xuexun Liu, Xiaoxu Xu, Jinlong Li, Qiudan Zhang, Xu Wang, Nicu Sebe, Lin Ma
Pubblicato in: Neural Information Processing Systems (NeurIPS), 2023
Editore: NeurIPS
DOI: 10.48550/arXiv.2410.13294

Till the Layers Collapse: Compressing a Deep Neural Network Through the Lenses of Batch Normalization Layers.

Autori: Liao, Zhu; Hezbri, Nour; Quétu, Victor; Nguyen, Van-Tam; Tartaglione, Enzo
Pubblicato in: Proceedings of the AAAI Conference on Artificial Intelligence, 2025
Editore: AAAI
DOI: 10.48550/ARXIV.2412.15077

Federated Generalized Category Discovery

Autori: Pu, Nan; Li, Wenjing; Ji, Xingyuan; Qin, Yalan; Sebe, Nicu; Zhong, Zhun
Pubblicato in: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
Editore: IEEE
DOI: 10.5281/ZENODO.12627450

Weighted Ensemble Models Are Strong Continual Learners

Autori: Imad Eddine Marouf, Subhankar Roy, Enzo Tartaglione, Stéphane Lathuilière
Pubblicato in: Lecture Notes in Computer Science, Computer Vision – ECCV 2024, 2024
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-73209-6_18

On the Minimax Regret for Online Learning with Feedback Graphs

Autori: Eldowa, Khaled; Esposito, Emmanuel; Cesari, Tommaso; Cesa-Bianchi, Nicolò
Pubblicato in: Neural Information Processing Systems (NeurIPS) 2023
Editore: NeurIPS
DOI: 10.5281/ZENODO.13880646

Agent-Designed Contracts: How to Sell Hidden Actions

Autori: Martino Bernasconi; Matteo Castiglioni; Andrea Celli
Pubblicato in: Proceedings of the 25th ACM Conference on Economics and Computation, 2024
Editore: ACM
DOI: 10.1145/3670865.3673640

Sparsity-agnostic linear bandits with adaptive adversaries.

Autori: Tianyuan, Jin; Jang, Kyoungseok; Cesa-Bianchi, Nicolò
Pubblicato in: Neural Information Processing Systems
Editore: NEURIPS
DOI: 10.48550/ARXIV.2406.01192

Time Can Invalidate Algorithmic Recourse

Autori: Giovanni De Toni; Stefano Teso; Bruno Lepri; Andrea Passerini
Pubblicato in: Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency, 2025
Editore: ACM
DOI: 10.48550/ARXIV.2410.08007

LESS: Label-Efficient and Single-Stage Referring 3D Segmentation

Autori: Xuexun Liu; Xiaoxu Xu; Jinlong Li 0003; Qiudan Zhang; Xu Wang 0006; Nicu Sebe; Lin Ma 0002
Pubblicato in: Advances in Neural Information Processing Systems 37, 2024, ISSN 1049-5258
Editore: NeurIPS
DOI: 10.48550/ARXIV.2410.13294

Category Adaptation Meets Projected Distillation in Generalized Continual Category Discovery

Autori: Grzegorz Rypeść, Daniel Marczak, Sebastian Cygert, Tomasz Trzciński, Bartłomiej Twardowski
Pubblicato in: Lecture Notes in Computer Science, Computer Vision – ECCV 2024, 2024
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-73247-8_19

An Online Learning Theory of Brokerage

Autori: Bolić, Nataša; Cesari, Tommaso; Colomboni, Roberto
Pubblicato in: AAMAS, 2024
Editore: IFAAMAS
DOI: 10.48550/arXiv.2310.12107

Towards Optimal Trade-offs in Knowledge Distillation for CNNs and Vision Transformers at the Edge

Autori: John Violos, Symeon Papadopoulos, Ioannis Kompatsiaris
Pubblicato in: 32nd EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO)
Editore: IEEE Xplore
DOI: 10.5281/ZENODO.12510505

Efficient Algorithms for Learning Monophonic Halfspaces in Graphs

Autori: Bressan, Marco; Esposito, Emmanuel; Thiessen, Maximilian
Pubblicato in: Proceedings of Machine Learning Research
Editore: PMLR
DOI: 10.48550/ARXIV.2405.00853

Augmenting the availability of historical GDP per capita estimates through machine learning

Autori: Philipp Koch; Viktor Stojkoski; César A. Hidalgo
Pubblicato in: Proceedings of the National Academy of Sciences, 2024, ISSN 1091-6490
Editore: National Academy of Sciences
DOI: 10.48550/ARXIV.2505.09399

Novel Class Discovery for Ultra-Fine-Grained Visual Categorization

Autori: Liu, Yu; Cai, Yaqi; Jia, Qi; Qiu, Binglin; Wang, Weimin; Pu, Nan
Pubblicato in: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Editore: IEEE
DOI: 10.1109/CVPR52733.2024.01674

Safe-CLIP: Removing NSFW Concepts from Vision-and-Language Models

Autori: Poppi, Samuele; Poppi, Tobia; Cocchi, Federico; Cornia, Marcella; Baraldi, Lorenzo; Cucchiara, Rita
Pubblicato in: European Conference on Computer Vision
Editore: Springer
DOI: 10.5281/ZENODO.14015236

SMoSE: Sparse Mixture of Shallow Experts for Interpretable Reinforcement Learning in Continuous Control Tasks

Autori: Vincze, Mátyás; Ferrarotti, Laura; Custode, Leonardo Lucio; Lepri, Bruno; Iacca, Giovanni
Pubblicato in: Proceedings of the AAAI Conference on Artificial Intelligence, 2025, ISSN 2374-3468
Editore: AAAI Press
DOI: 10.48550/ARXIV.2412.13053

Multi-Agent Contract Design beyond Binary Actions

Autori: Federico Cacciamani; Martino Bernasconi; Matteo Castiglioni; Nicola Gatti 0001
Pubblicato in: Proceedings of the 25th ACM Conference on Economics and Computation, 2024
Editore: ACM
DOI: 10.1145/3670865.3673633

Sparsity-Agnostic Linear Bandits with Adaptive Adversaries

Autori: Tianyuan Jin; Kyoungseok Jang; N. Cesa Bianchi
Pubblicato in: Advances in Neural Information Processing Systems 37, 2024, ISSN 1049-5258
Editore: NeurIPS
DOI: 10.48550/ARXIV.2406.01192

Learning invariant representations of time-homogeneous stochastic dynamical systems

Autori: Kostic, Vladimir, R; Novelli, Pietro; Grazzi, Riccardo; Lounici, Karim; Pontil, Massimiliano
Pubblicato in: ICLR 2024, May 2024, Vienna (AUSTRIA), Austria, 2024
Editore: ICLR
DOI: 10.48550/arxiv.2307.09912

Sum-max submodular bandits

Autori: Pasteris, Stephen; Rumi, Alberto; Vitale, Fabio; Cesa-Bianchi, Nicolò
Pubblicato in: 27thInternational Conference on Artifi-cial Intelligence and Statistics (AISTATS) 2024, 2024
Editore: PMLR
DOI: 10.5281/zenodo.13881304

Task-recency bias strikes back: Adapting covariances in Exemplar-Free Class Incremental Learning

Autori: Rypeść, Grzegorz; Cygert, Sebastian; Trzcinski, Tomasz; Twardowski, Bartłomiej
Pubblicato in: Advances in Neural Information Processing Systems 37, 2024, ISSN 1049-5258
Editore: NeurIPS
DOI: 10.48550/ARXIV.2409.18265

A Theory of Interpretable Approximations

Autori: Bressan, Marco; Cesa-Bianchi, Nicolò; Esposito, Emmanuel; Mansour, Yishay; Moran, Shay; Thiessen, Maximilian
Pubblicato in: 37th Annual Conference on Learning Theory (COLT) 2024
Editore: PMLR
DOI: 10.48550/ARXIV.2406.10529

Towards generalisable and calibrated audio deepfake detection with self-supervised representations

Autori: Octavian Pascu, Adriana Stan, Dan Oneata, Elisabeta Oneata, Horia Cucu
Pubblicato in: Interspeech 2024
Editore: ISCA
DOI: 10.5281/ZENODO.12526793

Prototypical Hash Encoding for On-the-Fly Fine-Grained Category Discovery

Autori: Zheng, H., Pu, N., Li, W., Sebe, N., & Zhong, Z.
Pubblicato in: Neural Information Processing Systems (NeurIPS)
Editore: NeurIPS
DOI: 10.48550/ARXIV.2410.19213

Robust covariance estimation with missing values and cell-wise contamination

Autori: Lounici, Karim; Pacreau, Gregoire
Pubblicato in: Neural Information Processing Systems (NeurIPS), 2023
Editore: NeurIPS
DOI: 10.48550/arxiv.2306.00752

OpenBias: Open-Set Bias Detection in Text-to-Image Generative Models

Autori: D'Incà, Moreno; Peruzzo, Elia; Mancini, Massimiliano; Xu, Dejia; Goe, Vidit; Xu, Xingqian; Wang, Zhangyang; Shi, Humphrey; Sebe, Nicu
Pubblicato in: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
Editore: IEEE
DOI: 10.48550/ARXIV.2404.07990

Evaluating the Prompt Steerability of Large Language Models

Autori: Miehling, Erik; Desmond, Michael; Natesan Ramamurthy, Karthikeyan; Daly, Elizabeth; Dognin, Pierre; Rios, Jesus; Bouneffouf, Djallel; Liu, Miao
Pubblicato in: Pluralistic Alignment Workshop
Editore: NeurIPS
DOI: 10.48550/ARXIV.2411.12405

Federated Generalized Category Discovery

Autori: Pu, N.; Li, W.; Ji, X.; Qin, Y.; Sebe, N.; Zhong, Z.
Pubblicato in: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Editore: IEEE
DOI: 10.5281/ZENODO.11865219

No-Regret Learning in Bilateral Trade via Global Budget Balance

Autori: Martino Bernasconi, Matteo Castiglioni, Andrea Celli, Federico Fusco
Pubblicato in: Proceedings of the 56th Annual ACM Symposium on Theory of Computing, 2024
Editore: ACM
DOI: 10.1145/3618260.3649653

Divide and not forget: Ensemble of selectively trained experts in Continual Learning

Autori: Rypeść, Grzegorz; Cygert, Sebastian; Khan, Valeriya; Trzciński, Tomasz; Zieliński, Bartosz; Twardowski, Bartłomiej
Pubblicato in: International Conference on Learning Representations, 2024
Editore: ICLR
DOI: 10.48550/arxiv.2401.10191

Unlearning Vision Transformers without Retaining Data via Low-Rank Decompositions

Autori: Poppi, Samuele; Sarto, Sara; Cornia, Marcella; Baraldi, Lorenzo; Cucchiara, Rita
Pubblicato in: IEEE Intelligent Systems
Editore: IEEE
DOI: 10.5281/ZENODO.14031683

DeCLIP: Decoding CLIP Representations for Deepfake Localization

Autori: Stefan Smeu; Elisabeta Oneata; Dan Oneata
Pubblicato in: 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025
Editore: IEEE
DOI: 10.48550/ARXIV.2409.08849

Reducing inference energy consumption using dual complementary CNNs

Autori: Michail Kinnas, John Violos, Ioannis Kompatsiaris, Symeon Papadopoulos
Pubblicato in: Future Generation Computer Systems, Numero 165, 2024, ISSN 0167-739X
Editore: Elsevier BV
DOI: 10.1016/j.future.2024.107606

FLAC: Fairness-Aware Representation Learning by Suppressing Attribute-Class Associations

Autori: Ioannis Sarridis, Christos Koutlis, Symeon Papadopoulos, Christos Diou
Pubblicato in: IEEE Transactions on Pattern Analysis and Machine Intelligence, Numero 47, 2025, ISSN 0162-8828
Editore: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/TPAMI.2024.3487254

Cortico-Muscular Phase Connectivity During an Isometric Knee Extension Task in People With Early Parkinson’s Disease

Autori: Nina Omejc; Tomislav Stankovski; Manca Peskar; Miloš Kalc; Paolo Manganotti; Klaus Gramann; Sašo Džeroski; Uros Marusic
Pubblicato in: IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2025, ISSN 1558-0210
Editore: IEEE
DOI: 10.1109/TNSRE.2025.3527578

Personalized algorithmic recourse with preference elicitation

Autori: G. De Toni, P. Viappiani, S. Teso, B. Lepri, and A. Passerini
Pubblicato in: Transactions on Machine Learning Research, ISSN 2835-8856
Editore: TMLR
DOI: 10.48550/ARXIV.2205.13743

Adaptive Log-Euclidean Metrics for SPD Matrix Learning

Autori: Ziheng Chen, Yue Song, Tianyang Xu, Zhiwu Huang, Xiao-Jun Wu, Nicu Sebe
Pubblicato in: IEEE Transactions on Image Processing, Numero 33, 2024, ISSN 1057-7149
Editore: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/TIP.2024.3451930

Intercity connectivity and urban innovation

Autori: Xiaofan Liang, César A. Hidalgo, Pierre-Alexandre Balland, Siqi Zheng, Jianghao Wang
Pubblicato in: Computers, Environment and Urban Systems, Numero 109, 2024, ISSN 0198-9715
Editore: Elsevier BV
DOI: 10.1016/J.COMPENVURBSYS.2024.102092

IEEE Transactions on Pattern Analysis and Machine Intelligence

Autori: Tang, Hao; Shao, Ling; van Gool, Luc; Sebe, Nicu
Pubblicato in: IEEE Transactions on Pattern Analysis and Machine Intelligence, Numero 46(6):4298-4313, 2024, ISSN 0162-8828
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TPAMI.2024.3355248

Regret Analysis of Bilateral Trade with a Smoothed Adversary

Autori: Nicolò Cesa-Bianchi, Tommaso Cesari, Roberto Colomboni, Federico Fusco, Stefano Leonardi
Pubblicato in: Journal of Machine Learning Research, ISSN 1533-7928
Editore: JMLR
DOI: 10.5281/ZENODO.13897756

What is beautiful is still good: the attractiveness halo effect in the era of beauty filters

Autori: Aditya Gulati; Marina Martinez-Garcia; Daniel Fernandez; Miguel Angel Lozano; Bruno Lepri; Nuria Oliver
Pubblicato in: Royal Society Open Science, 2024, ISSN 2054-5703
Editore: The Royal Society
DOI: 10.21203/RS.3.RS-4698268/V1

Physical partisan proximity outweighs online ties in predicting US voting outcomes

Autori: Tonin, Marco; Lepri, Bruno; Tizzoni, Michele
Pubblicato in: PNAS Nexus, 2025, ISSN 2752-6542
Editore: Oxford University
DOI: 10.48550/ARXIV.2407.12146

Anti-Forgetting Adaptation for Unsupervised Person Re-Identification

Autori: Hao Chen 0061; François Brémond; Nicu Sebe; Shiliang Zhang
Pubblicato in: IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024, ISSN 1939-3539
Editore: IEEE
DOI: 10.32388/O3VW3J

Probabilistic grammars for modeling dynamical systems from coarse, noisy, and partial data

Autori: Nina Omejc; Boštjan Gec; Jure Brence; Ljupčo Todorovski; Sašo Džeroski
Pubblicato in: Machine Learning, Special Numero on Discovery Science 2024, 2024, ISSN 1573-0565
Editore: Springer
DOI: 10.21203/rs.3.rs-2678362/v1

Clarity in complexity: how aggregating explanations resolves the disagreement problem

Autori: Oana Mitruț; Gabriela Moise; Alin Moldoveanu; Florica Moldoveanu; Marius Leordeanu; Livia Petrescu
Pubblicato in: Artificial Intelligence Review, 2024, ISSN 1573-7462
Editore: Springer
DOI: 10.1007/s10462-024-10952-7

A New Formulation for Zeroth-Order Optimization of Adversarial EXEmples in Malware Detection

Autori: Marco Rando; Luca Demetrio; Lorenzo Rosasco; Fabio Roli
Pubblicato in: IEEE Transactions on Information Forensics and Security, 2025, ISSN 1556-6021
Editore: IEEE
DOI: 10.48550/ARXIV.2405.14519

Generative AI Literacy: Twelve Defining Competencies

Autori: Annapureddy, Ravinithesh; Fornaroli, Alessandro; Gatica-Perez, Daniel
Pubblicato in: ACM Digital Government: Research and Practice, 2024, ISSN 2639-0175
Editore: ACM
DOI: 10.1145/3685680

Learning Neural Free-Energy Functionals with Pair-Correlation Matching

Autori: Jacobus Dijkman, Marjolein Dijkstra, René van Roij, Max Welling, Jan-Willem van de Meent, Bernd Ensing
Pubblicato in: Physical Review Letters, Numero 134, 2025, ISSN 0031-9007
Editore: American Physical Society (APS)
DOI: 10.1103/PHYSREVLETT.134.056103

Cooperative Online Learning with Feedback Graphs

Autori: Cesa-Bianchi, Nicolò; Cesari, Tommaso; Della Vecchia, Riccardo
Pubblicato in: Transactions on Machine Learning Research, 2024, ISSN 2835-8856
Editore: TMLR
DOI: 10.48550/arXiv.2106.04982

Nature Communications

Autori: Camps Valls, Gustau; Fernández Torres, Miguel-Ángel; Cohrs, Kai-Hendrik; Prapas, Ioannis; Pérez Aracil, Jorge; Gonzalez Calabuig, Maria; Pellicer Valero, Oscar José; Kondylatos, Spyros; Salcedo Sanz, Sancho; Williams, Tristan
Pubblicato in: Nature Communications, 2025, ISSN 2041-1723
Editore: Nature Publishing Group
DOI: 10.1038/S41467-025-56573-8

MolMix: A Simple Yet Effective Baseline for Multimodal Molecular Representation Learning

Autori: Andrei Manolache; Dragos Tantaru; Mathias Niepert
Pubblicato in: CoRR, 2024, ISSN 2331-8422
Editore: arXiv
DOI: 10.48550/ARXIV.2410.07981

Helpful, harmless, honest? Sociotechnical limits of AI alignment and safety through Reinforcement Learning from Human Feedback

Autori: Adam Dahlgren Lindström; Leila Methnani; Lea Krause; Petter Ericson; Íñigo Martinez de Rituerto de Troya; Dimitri Coelho Mollo; Roel Dobbe
Pubblicato in: Ethics and Information Technology, 2025, ISSN 1572-8439
Editore: Springer Nature
DOI: 10.1007/S10676-025-09837-2

Grounded Video Caption Generation

Autori: Evangelos Kazakos; Cordelia Schmid; Josef Sivic
Pubblicato in: CoRR, 2024, ISSN 2331-8422
Editore: arXiv
DOI: 10.48550/ARXIV.2411.07584

Selecting Images With Entropy for Frugal Knowledge Distillation

Autori: Michail Kinnas, John Violos, Nikolaos Ioannis Karapiperis, Ioannis Kompatsiaris
Pubblicato in: IEEE Access, Numero 13, 2025, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/ACCESS.2025.3540384

Vision + X: A Survey on Multimodal Learning in the Light of Data

Autori: Ye Zhu, Yu Wu, Nicu Sebe, Yan Yan
Pubblicato in: IEEE Transactions on Pattern Analysis and Machine Intelligence, Numero 46, 2024, ISSN 0162-8828
Editore: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/TPAMI.2024.3420239

Understanding political divisiveness using online participation data from the 2022 French and Brazilian presidential elections

Autori: Carlos Navarrete, Mariana Macedo, Rachael Colley, Jingling Zhang, Nicole Ferrada, Maria Eduarda Mello, Rodrigo Lira, Carmelo Bastos-Filho, Umberto Grandi, Jérôme Lang, César A. Hidalgo
Pubblicato in: Nature Human Behaviour, Numero 8, 2024, ISSN 2397-3374
Editore: Springer Science and Business Media LLC
DOI: 10.1038/S41562-023-01755-X

Consistency-Aware Anchor Pyramid Network for Crowd Localization

Autori: Liu, X.; Li, G.; Qi, Y.; van den Hengel, A.; Sebe, N.; Yang, M-H.; Huang, Q.
Pubblicato in: IEEE Transactions on Pattern Analysis and Machine Intelligence., ISSN 1939-3539
Editore: IEEE
DOI: 10.1109/TPAMI.2024.3392013

RankFeat&RankWeight: Rank-1 Feature/Weight Removal for Out-of-Distribution Detection

Autori: Song, Yue; Wang, Wei; Sebe, Niculae
Pubblicato in: IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025, ISSN 1939-3539
Editore: IEEE
DOI: 10.48550/ARXIV.2311.13959

RESPRECT: Speeding-up Multi-Fingered Grasping With Residual Reinforcement Learning

Autori: Federico Ceola; Lorenzo Rosasco; Lorenzo Natale
Pubblicato in: IEEE Robotics and Automation Letters, 2024, ISSN 2377-3766
Editore: IEEE
DOI: 10.48550/arxiv.2401.14858

Nature Communications

Autori: Ma, Fengmei; Wang, Heming; Tzachor, Asaf; Hidalgo, César; Schandl, Heinz; Zhang, Yue; Zhang, Jingling; Chen, Wei-Qiang; Zhao, Yanzhi; Zhu, Yong-Guan; Fu, Bojie
Pubblicato in: Nature Communications, 2025, ISSN 2041-1723
Editore: Springer Nature
DOI: 10.1038/S41467-025-56076-6

Do LLMs suffer from Multi-Party Hangover? A Diagnostic Approach to Addressee Recognition and Response Selection in Conversations

Autori: Penzo, Nicolò; Sajedinia, Maryam; Lepri, Bruno; Tonelli, Sara; Guerini, Marco
Pubblicato in: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024, ISSN 1530-9312
Editore: Association for Computational Linguistics
DOI: 10.48550/ARXIV.2409.18602

IEEE Access

Autori: Ciro Beneduce; Bruno Lepri; Massimiliano Luca
Pubblicato in: IEEE Access, 2025, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.48550/ARXIV.2405.20962

Margin-Based Active Learning of Classifiers

Autori: Bressan, Marco; Cesa-Bianchi, Nicolò; Lattanzi, Silvio; Paudice, Andrea
Pubblicato in: Journal of Machine Learning Research, ISSN 1533-7928
Editore: JLMR
DOI: 10.5281/ZENODO.13880741

Augmentation-aware self-supervised learning with conditioned projector

Autori: Przewięźlikowski, Marcin; Pyla, Mateusz; Zieliński, Bartosz; Twardowski, Bartłomiej; Tabor, Jacek; Śmieja, Marek
Pubblicato in: Knowledge-Based Systems, 2024, ISSN 1872-7409
Editore: ELSEVIER
DOI: 10.5281/zenodo.14410199

Improved Regret Bounds for Bandits with Expert Advice

Autori: N. Cesa Bianchi; Khaled Eldowa; Emmanuel Esposito; Julia Olkhovskaya
Pubblicato in: Journal of Artificial Intelligence Research, 2025, ISSN 1943-5037
Editore: AI Access Foundation
DOI: 10.48550/ARXIV.2406.16802

Multi-Class Unlearning for Image Classification via Weight Filtering

Autori: Poppi, Samuele; Sarto, Sara; Cornia, Marcella; Baraldi, Lorenzo; Cucchiara, Rita
Pubblicato in: IEEE Intelligent Systems, ISSN 1941-1294
Editore: IEEE
DOI: 10.1109/MIS.2024.3412742

HYRE: Hybrid Regressor for 3D Human Pose and Shape Estimation

Autori: Wenhao Li, Mengyuan Liu, Hong Liu, Bin Ren, Xia Li, Yingxuan You, Nicu Sebe
Pubblicato in: IEEE Transactions on Image Processing, Numero 34, 2025, ISSN 1057-7149
Editore: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/TIP.2024.3515872

The role of immigrants, emigrants and locals in the historical formation of European knowledge agglomerations

Autori: Philipp Koch, Viktor Stojkoski, César A. Hidalgo
Pubblicato in: Regional Studies, Numero 58, 2024, ISSN 0034-3404
Editore: Informa UK Limited
DOI: 10.1080/00343404.2023.2275571

Estimating digital product trade through corporate revenue data

Autori: Viktor Stojkoski, Philipp Koch, Eva Coll, César A. Hidalgo
Pubblicato in: Nature Communications, Numero 15, 2024, ISSN 2041-1723
Editore: Springer Science and Business Media LLC
DOI: 10.1038/S41467-024-49141-Z

Spatial entropy as an inductive bias for vision transformers

Autori: Elia Peruzzo; Enver Sangineto; Yahui Liu; Marco De Nadai; Wei Bi; Bruno Lepri; Nicu Sebe
Pubblicato in: Machine Learning, Numero 113(9): 6945–6975, 2024, ISSN 1573-0565
Editore: Springer
DOI: 10.48550/arxiv.2206.04636

Stochastic zeroth order descent with structured directions

Autori: Marco Rando; Cesare Molinari; Silvia Villa; Lorenzo Rosasco
Pubblicato in: Computational Optimization and Applications, 2024, ISSN 1573-2894
Editore: Springer
DOI: 10.48550/arxiv.2206.05124

Collaboration between artificial intelligence and Earth science communities for mutual benefit

Autori: Min Chen; Zhen Qian; Niklas Boers; Felix Creutzig; Gustau Camps-Valls; Klaus Hubacek; Christophe Claramunt; John P. Wilson; Stefano Nativi; Anthony J. Jakeman; R. Dietmar Müller; Michael Batty; Chenghu Zhou; Fahu Chen; Qiao Wang; Fan Zhang; C. Michael Barton; Josef Strobl; Michael Meadows; Carlo Ratti; Philipp Hess; Qingsong Xu; Zhixin Zhang; Qiushi Gu; A-Xing Zhu; Hui Lin; Linwang Yuan; Guonian Lü
Pubblicato in: Nature Geoscience, 2024, ISSN 1752-0908
Editore: Nat. Geosci.
DOI: 10.1038/S41561-024-01550-X

GraphMLP: A graph MLP-like architecture for 3D human pose estimation

Autori: Wenhao Li, Mengyuan Liu, Hong Liu, Tianyu Guo, Ti Wang, Hao Tang, Nicu Sebe
Pubblicato in: Pattern Recognition, Numero 158, 2024, ISSN 0031-3203
Editore: Elsevier BV
DOI: 10.1016/j.patcog.2024.110925

Automatic Classification and Visualization of Text Data on Rare Diseases

Autori: Luis Rei; Joao Pita Costa; Tanja Zdolšek Draksler
Pubblicato in: Journal of Personalized Medicine, 2024, ISSN 2075-4426
Editore: MDPI
DOI: 10.3390/JPM14050545

Multifidelity Gaussian Process Emulation for Atmospheric Radiative Transfer Models

Autori: J. Vicent Servera, L. Martino, J. Verrelst and G. Camps-Valls
Pubblicato in: Transactions on Geoscience and Remote Sensing, Numero 61, ISSN 1558-0644
Editore: IEEE
DOI: 10.1109/TGRS.2023.3300460

Counting Subgraphs in Somewhere Dense Graphs

Autori: Marco Bressan 0002; Leslie Ann Goldberg; Kitty Meeks; Marc Roth
Pubblicato in: SIAM Journal on Computing, 2024, ISSN 1095-7111
Editore: SIAM
DOI: 10.48550/ARXIV.2209.03402

Trading Volume Maximization with Online Learning

Autori: Tommaso Cesari, Roberto Colomboni
Editore: arXiv
DOI: 10.48550/ARXIV.2405.13102

Fair Online Bilateral Trade

Autori: François Bachoc, Nicolò Cesa-Bianchi, Tommaso Cesari, Roberto Colomboni
Editore: arXiv
DOI: 10.48550/ARXIV.2405.13919

Sketch In, Sketch Out: Accelerating both Learning and Inference for Structured Prediction with Kernels

Autori: Ahmad, Tamim El; Brogat-Motte, Luc; Laforgue, Pierre; d'Alché-Buc, Florence
Pubblicato in: 27th International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Editore: PMLR
DOI: 10.48550/arxiv.2302.10128

Information Capacity Regret Bounds for Bandits with Mediator Feedback

Autori: Eldowa, Khaled; Cesa-Bianchi, Nicolò; Metelli, Alberto Maria; Restelli, Marcello
Pubblicato in: 2024
Editore: arXiv
DOI: 10.48550/arxiv.2402.10282

A Contextual Online Learning Theory of Brokerage

Autori: François Bachoc, Tommaso Cesari, Roberto Colomboni
Editore: arXiv
DOI: 10.48550/ARXIV.2407.01566

A Characterization Theorem for Equivariant Networks with Point-wise Activations

Autori: Marco Pacini; Xiaowen Dong; Bruno Lepri; Gabriele Santin
Pubblicato in: CoRR, 2024

Is Mamba Capable of In-Context Learning?

Autori: Grazzi, Riccardo; Siems, Julien; Schrodi, Simon; Brox, Thomas; Hutter, Frank
Pubblicato in: 2024
Editore: arXiv
DOI: 10.48550/arxiv.2402.03170

Deep Sketched Output Kernel Regression for Structured Prediction

Autori: Tamim El Ahmad; Junjie Yang; Pierre Laforgue; Florence d'Alché-Buc
Pubblicato in: Lecture Notes in Computer Science ISBN: 9783031703515, 2024
Editore: Springer
DOI: 10.48550/ARXIV.2406.09253

Safe-CLIP: Removing NSFW Concepts from Vision-and-Language Models

Autori: Poppi, Samuele; Poppi, Tobia; Cocchi, Federico; Cornia, Marcella; Baraldi, Lorenzo; Cucchiara, Rita
Pubblicato in: Lecture Notes in Computer Science ISBN: 9783031736674, 2024
Editore: Springer
DOI: 10.5281/ZENODO.14015236

Zero-Waste Machine Learning

Autori: Tomasz Trzcinski; Bartlomiej Twardowski; Bartosz Zielinski 0001; Kamil Adamczewski; Bartosz Wójcik
Pubblicato in: Frontiers in Artificial Intelligence and Applications ISBN: 9781643685489, 2024
Editore: IOS Press
DOI: 10.3233/FAIA240466

A Deep Cut Into Split Federated Self-Supervised Learning

Autori: Marcin Przewiezlikowski; Marcin Osial; Bartosz Zielinski 0001; Marek Smieja
Pubblicato in: Lecture Notes in Computer Science ISBN: 9783031703430, 2024
Editore: Springer
DOI: 10.48550/ARXIV.2406.08267

Unlearning Vision Transformers Without Retaining Data via Low-Rank Decompositions

Autori: Poppi, Samuele; Sarto, Sara; Cornia, Marcella; Baraldi, Lorenzo; Cucchiara, Rita
Pubblicato in: Lecture Notes in Computer Science ISBN: 9783031781216, 2024
Editore: Springer
DOI: 10.5281/ZENODO.14031683

Optimizing Resource Consumption in Diffusion Models Through Hallucination Early Detection

Autori: Betti, Federico; Baraldi, Lorenzo; Baraldi, Lorenzo; Cucchiara, Rita; Sebe, Nicu
Pubblicato in: Lecture Notes in Computer Science ISBN: 9783031919787, 2025, ISSN 1611-3349
Editore: Springer Cham
DOI: 10.48550/ARXIV.2409.10597

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