Optimizing Backward Policies in GFlowNets via Trajectory Likelihood Maximizationby Timofei Gritsaev, Nikita Morozov, Sergey Samsonov,…
Exploring Curriculum Learning for Vision-Language Tasks: A Study on Small-Scale Multimodal Trainingby Rohan Saha, Abrar…
On Cold Posteriors of Probabilistic Neural Networks: Understanding the Cold Posterior Effect and A New…
PEAS: A Strategy for Crafting Transferable Adversarial Examplesby Bar Avraham, Yisroel MirskyFirst submitted to arxiv…
Deep Learning Foundation and Pattern Models: Challenges in Hydrological Time Seriesby Junyang He, Ying-Jung Chen,…
Conditional Prediction ROC Bands for Graph Classificationby Yujia Wu, Bo Yang, Elynn Chen, Yuzhou Chen,…
Tensor-Fused Multi-View Graph Contrastive Learningby Yujia Wu, Junyi Mo, Elynn Chen, Yuzhou ChenFirst submitted to…
TAGExplainer: Narrating Graph Explanations for Text-Attributed Graph Learning Modelsby Bo Pan, Zhen Xiong, Guanchen Wu,…
Asymptotic Time-Uniform Inference for Parameters in Averaged Stochastic Approximationby Chuhan Xie, Kaicheng Jin, Jiadong Liang,…
Generalized Flow Matching for Transition Dynamics Modelingby Haibo Wang, Yuxuan Qiu, Yanze Wang, Rob Brekelmans,…