| 2024 | Combining Diverse Information for Coordinated Action: Stochastic Bandit Algorithms for Heterogeneous Agents. | Lucia Gordon, Esther Rolf, Milind Tambe |
| 2024 | A Full DAG Score-Based Algorithm for Learning Causal Bayesian Networks with Latent Confounders. | Christophe Gonzales, Amir-Hosein Valizadeh |
| 2024 | Comparing Lossless Compression Methods for Chess Endgame Data. | Dave Gomboc, Christian R. Shelton, Andrew S. Miner, Gianfranco Ciardo |
| 2024 | Counseling Responses for Mental Health Forum Questions with Early Maladaptive Schema Prediction. | Sujatha Das Gollapalli, Beng Heng Ang, Mingzhe Du, See-Kiong Ng |
| 2024 | A Gale-Shapley View of Unique Stable Marriages. | Kartik Gokhale, Amit Kumar Mallik, Ankit Kumar Misra, Swaprava Nath |
| 2024 | Big-Thick Data Generation via Reference and Personal Context Unification. | Fausto Giunchiglia, Xiaoyue Li |
| 2024 | Learning and Optimizing with an SSB Representation of Intransitive Preferences on Sets. | Hugo Gilbert, Mohamed Ouaguenouni, Olivier Spanjaard |
| 2024 | Estimating the Time of Arrival of a Shipment with Machine Learning. | Francesco Gibellini, Bart van Gool, Murat Firat, Stefano Bromuri |
| 2024 | Deep Learning for in vivo Bronchial Carinae Detection in Flexible Bronchoscopy. | Robin Ghyselinck, Valentin Delchevalerie, Pierre Poitier, Benot Frnay, Bruno Dumas |
| 2024 | Bottlenecked Backpropagation to Train Differentially Private Deep Neural Networks. | Arghyadeep Ghosh, Mrinal Das |
| 2024 | Cluster Exploration Using Informative Manifold Projections. | Stavros Gerolymatos, Xenophon Evangelopoulos, Vladimir V. Gusev, John Yannis Goulermas |
| 2024 | Explorative Imitation Learning: A Path Signature Approach for Continuous Environments. | Nathan Gavenski, Juarez Monteiro, Felipe Meneguzzi, Michael Luck, Odinaldo Rodrigues |
| 2024 | Understanding the Impact of Human Oversight on Discriminatory Outcomes in AI-Supported Decision-Making. | Alexia Gaudeul, Ottla Arrigoni, Vicky Charisi, Marina Escobar-Planas, Isabelle Hupont |
| 2024 | Winning the 2023 CityLearn Challenge: A Community-Based Hierarchical Energy Systems Coordination Algorithm. | Andoni I. Garmendia, Francesco Morri, Quentin Cappart, Hlne Le Cadre |
| 2024 | EquinorQA: Large Language Models for Question Answering Over Proprietary Data. | Daro Garigliotti, Bjarte Johansen, Jakob Vigerust Kallestad, Seong-Eun Cho, Csar Ferri |
| 2024 | HBIC: A Biclustering Algorithm for Heterogeneous Datasets. | Adn Jos Garca, Julie Jacques, Clment Chauvet, Vincent Sobanski, Clarisse Dhaenens |
| 2024 | Anti-Matthew FL: Bridging the Performance Gap in Federated Learning to Counteract the Matthew Effect. | Jiashi Gao, Xin Yao, Xuetao Wei |
| 2024 | FedSeProto: Learning Semantic Prototype in Federated Learning. | Yanyi Lai, Lele Fu, Tianchi Liao, Chuan Chen, Zibin Zheng |
| 2024 | Reset It and Forget It: Relearning Last-Layer Weights Improves Continual and Transfer Learning. | Lapo Frati, Neil Traft, Jeff Clune, Nick Cheney |
| 2024 | FilFL: Client Filtering for Optimized Client Participation in Federated Learning. | Fares Fourati, Salma Kharrat, Vaneet Aggarwal, Mohamed-Slim Alouini, Marco Canini |
| 2024 | Reverse Engineering of Vinyl Acetate Polymerizations by Genetic Algorithm-Based Multi-Objective Optimization. | Jelena Fiosina, Philipp Sievers, Marco Drache, Sabine Beuermann |
| 2024 | Rejection in Abstract Argumentation: Harder Than Acceptance? | Johannes Klaus Fichte, Markus Hecher, Yasir Mahmood, Arne Meier |
| 2024 | Counterfactual Thinking in Stochastic Dynamics of Cooperation. | Antnio M. Fernandes, Francisco C. Santos, Ana Paiva |
| 2024 | Spatial and Frequency-Based Feature Reconstruction for Cross-Database Micro-Expression Recognition. | Zhi Feng, C. L. Philip Chen, Shiting Xu, Tong Zhang |
| 2024 | Sentinel: An Aggregation Function to Secure Decentralized Federated Learning. | Chao Feng, Alberto Huertas Celdrn, Janosch Baltensperger, Enrique Toms Martnez Beltrn, Pedro Miguel Snchez Snchez, Grme Bovet, Burkhard Stiller |