EPFL（洛桑联邦理工学院）

Exploring the Early Universe with Deep Learning

Emmanuel de Salis, Massimo De Santis, Davide Piras, Sambit K. Giri, Michele Bianco, Nicolas Cerardi, Philipp Denzel, Merve Selcuk-Simsek, Kelley M. Hess, M. Carmen Toribio, Franz Kirsten, Hatem Ghorbel

机构 * Haute Ecole Arc Ing\'enierie, University of Applied Sciences \& Arts Western Switzerland (HES-SO), Saint-Imier, Switzerland Département de Physique Théorique ； Centre Universitaire d’Informatique, Université de Genève, Genève, Switzerland Nordita, KTH Royal Institute of Technology ； Stockholm University, Hannes Alf\'vens v\"ag 12, SE-106 91 Stockholm, Sweden Institute for Particle Physics \& Astrophysics, ETH Zurich, Wolfgang-Pauli-Str 27, 8093 Zurich, Switzerland Laboratoire d’Astrophysique, Ecole Polytechnique Federale de Lausanne EPFL, Observatoire de Sauverny, Versoix 1290, Switzerland Centre for Artificial Intelligence, ZHAW Zurich University of Applied Sciences, Technikumstrasse 71, 8400 Winterthur, Switzerland Institute for Data Science, FHNW University of Applied Sciences \& Arts Northwestern Switzerland, Bahnhofstrasse 6, Windisch, 5210, Switzerland Department of Space, Earth ； Environment, Chalmers University of Technology, Onsala Space Observatory, SE-43992 Onsala, Sweden 纠错

Comments EPIA 2025 preprint version, 12 pages, 3 figures

Journal ref Valente de Oliveira, J., Leite, J., Rodrigues, J., Dias, J., Cardoso, P. (eds) Progress in Artificial Intelligence. EPIA 2025. Lecture Notes in Computer Science(), vol 16121. Springer, Cham

FedMAC: Tackling Partial-Modality Missing in Federated Learning with Cross-Modal Aggregation and Contrastive Regularization

Manh Duong Nguyen, Trung Thanh Nguyen, Huy Hieu Pham, Trong Nghia Hoang, Phi Le Nguyen, Thanh Trung Huynh

机构 * Hanoi University of Science and Technology（河内科学技术大学） ； Nagoya University（名古屋大学） ； Washington State University（华盛顿州立大学） ； Swiss Federal Institute of Technology Lausanne（洛桑联邦理工学院） 纠错

Comments The 22nd International Symposium on Network Computing and Applications (NCA 2024)

Zooming into Comics: Region-Aware RL Improves Fine-Grained Comic Understanding in Vision-Language Models

Yule Chen, Yufan Ren, Sabine Süsstrunk

机构 * School of Computer and Communication Sciences, EPFL（瑞士联邦理工学院计算机与通信科学学院） ； Department of Computer Science and Engineering, Chalmers University of Technology（楚科奇技术大学计算机科学与工程系） ； IVRL, EPFL（EPFL智能机器人实验室） 纠错