ICLR

Neural Variational Dropout Processes

Insu Jeon, Youngjin Park, Gunhee Kim

机构 * Seoul National University（首尔国立大学） 纠错

Comments Accepted as a Poster at International Conference on Learning Representations (ICLR) 2022 (Apr 25-29, 2022)

Understanding Reasoning in Thinking Language Models via Steering Vectors

Constantin Venhoff, Iván Arcuschin, Philip Torr, Arthur Conmy, Neel Nanda

机构 * University of Oxford（牛津大学） ； University of Buenos Aires（布宜诺斯艾利斯大学） 纠错

Comments Accepted to the Workshop on Reasoning and Planning for Large Language Models at ICLR 2025

Deep Linear Probe Generators for Weight Space Learning

Jonathan Kahana, Eliahu Horwitz, Imri Shuval, Yedid Hoshen

机构 * School of Computer Science and Engineering（计算机科学与工程学院） 纠错

Comments ICLR 2025. Project page: https://vision.huji.ac.il/probegen

LICO: Large Language Models for In-Context Molecular Optimization

Tung Nguyen, Aditya Grover

机构 * Department of Computer Science University of California, Los Angeles（计算机科学系 加州大学洛杉矶分校） 纠错

Comments International Conference on Learning Representations (ICLR 2025)

AtomSurf : Surface Representation for Learning on Protein Structures

Vincent Mallet, Souhaib Attaiki, Yangyang Miao, Bruno Correia, Maks Ovsjanikov

机构 * LIX Ecole Polytechnique（LIX 巴黎高等理工学院） ； Mines Paris PSL Research University（巴黎 Mines 工程大学） ； Institut Curie PSL Research University（Curie 研究所 巴黎高等理工大学） ； INSERM U900（国家医学研究院 U900） ； Institute of Bioengineering École Polytechnique Fédérale de Lausanne（洛桑联邦理工学院生物工程研究所） 纠错

Comments Published as a conference paper at The Thirteenth International Conference on Learning Representations (ICLR 2025). The official open-access version is available at https://openreview.net/forum?id=ARQIJXFcTH

Journal ref The Thirteenth International Conference on Learning Representations (ICLR), 2025