ICLR

ColorBlindnessEval: Can Vision-Language Models Pass Color Blindness Tests?

Zijian Ling, Han Zhang, Yazhuo Zhou, Jiahao Cui

机构 * Apply U United Kingdom（英国Apply大学） 纠错

Comments Accepted at the Open Science for Foundation Models (SCI-FM) Workshop at ICLR 2025

BRAID: Input-Driven Nonlinear Dynamical Modeling of Neural-Behavioral Data

Parsa Vahidi, Omid G. Sani, Maryam M. Shanechi

机构 * Electrical and Computer Engineering, 2 Computer Science, 3 Biomedical Engineering（电气与计算机工程、计算机科学、生物医学工程） ； Viterbi School of Engineering, University of Southern California (USC)（维特比工程学院，南加州大学） 纠错

Comments Published at the International Conference on Learning Representations (ICLR) 2025. Code is available at GitHub https://github.com/ShanechiLab/BRAID

Journal ref ICLR 2025

Probabilistic Geometric Principal Component Analysis with application to neural data

Han-Lin Hsieh, Maryam M. Shanechi

机构 * Department of Electrical and Computer Engineering（电气与计算机工程系） ； Viterbi School of Engineering（维特比工程学院） ； University of Southern California（南加州大学） 纠错

Comments Published at the International Conference on Learning Representations (ICLR) 2025. Code is available at GitHub https://github.com/ShanechiLab/PGPCA.git

Journal ref ICLR 2025

ATLAS: Benchmarking and Adapting LLMs for Global Trade via Harmonized Tariff Code Classification

Pritish Yuvraj, Siva Devarakonda

Journal ref Paper in Review For ICLR 2026 (Workshop)

Packed-Ensembles for Efficient Uncertainty Estimation

Olivier Laurent, Adrien Lafage, Enzo Tartaglione, Geoffrey Daniel, Jean-Marc Martinez, Andrei Bursuc, Gianni Franchi

机构 * Université Paris-Saclay, CEA, SGLS（巴黎萨克雷大学、CEA、SGLS） ； U2IS, ENSTA, Institut Polytechnique de Paris（U2IS、ENSTA、巴黎理工学院） ； LTCI, Télécom Paris, Institut Polytechnique de Paris（LTCI、巴黎电信学院、巴黎理工学院） 纠错

Comments Published as a conference paper at ICLR 2023 (notable 25%)