Disentangling Interpretable Factors with Supervised Independent Subspace Principal Component Analysisby Jiayu Su, David A. Knowles,…
Return Augmented Decision Transformer for Off-Dynamics Reinforcement Learningby Ruhan Wang, Yu Yang, Zhishuai Liu, Dongruo…
CNN Explainability with Multivector Tucker Saliency Maps for Self-Supervised Modelsby Aymene Mohammed Bouayed, Samuel Deslauriers-Gauthier,…
Simulation-Free Training of Neural ODEs on Paired Databy Semin Kim, Jaehoon Yoo, Jinwoo Kim, Yeonwoo…
Cross-Entropy Is All You Need To Invert the Data Generating Processby Patrik Reizinger, Alice Bizeul,…
Pushing the Limits of All-Atom Geometric Graph Neural Networks: Pre-Training, Scaling and Zero-Shot Transferby Zihan…
L3Ms – Lagrange Large Language Modelsby Guneet S. Dhillon, Xingjian Shi, Yee Whye Teh, Alex…
AiSciVision: A Framework for Specializing Large Multimodal Models in Scientific Image Classificationby Brendan Hogan, Anmol…
Contrastive Learning with Auxiliary User Detection for Identifying Activitiesby Wen Ge, Guanyi Mou, Emmanuel O.…
Self-Supervised Learning and Opportunistic Inference for Continuous Monitoring of Freezing of Gait in Parkinson’s Diseaseby…