Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learningby Haoxin Liu, Harshavardhan Kamarthi, Lingkai Kong, Zhiyuan…
Injective flows for star-like manifoldsby Marcello Massimo Negri, Jonathan Aellen, Volker RothFirst submitted to arxiv…
Jacobian-Enhanced Neural Networksby Steven H. BerguinFirst submitted to arxiv on: 13 Jun 2024CategoriesMain: Machine Learning…
Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMsby Xuan Zhang, Chao Du, Tianyu Pang,…
Optimal Control of Agent-Based Dynamics under Deep Galerkin Feedback Lawsby Frederik KelbelFirst submitted to arxiv…
Weakly-supervised anomaly detection for multimodal data distributionsby Xu Tan, Junqi Chen, Sylwan Rahardja, Jiawei Yang,…
Towards Multilingual Audio-Visual Question Answeringby Orchid Chetia Phukan, Priyabrata Mallick, Swarup Ranjan Behera, Aalekhya Satya…
DefAn: Definitive Answer Dataset for LLMs Hallucination Evaluationby A B M Ashikur Rahman, Saeed Anwar,…
Generative AI-based Prompt Evolution Engineering Design Optimization With Vision-Language Modelby Melvin Wong, Thiago Rios, Stefan…
Generative vs. Discriminative modeling under the lens of uncertainty quantificationby Elouan Argouarc'h, François Desbouvries, Eric Barat,…