Summary of Partial Gromov-wasserstein Metric, by Yikun Bai et al.
Partial Gromov-Wasserstein Metricby Yikun Bai, Rocio Diaz Martin, Abihith Kothapalli, Hengrong Du, Xinran Liu, Soheil…
Partial Gromov-Wasserstein Metricby Yikun Bai, Rocio Diaz Martin, Abihith Kothapalli, Hengrong Du, Xinran Liu, Soheil…
Logical Specifications-guided Dynamic Task Sampling for Reinforcement Learning Agentsby Yash Shukla, Tanushree Burman, Abhishek Kulkarni,…
Pard: Permutation-Invariant Autoregressive Diffusion for Graph Generationby Lingxiao Zhao, Xueying Ding, Leman AkogluFirst submitted to…
Estimating the Local Learning Coefficient at Scaleby Zach Furman, Edmund LauFirst submitted to arxiv on:…
Unified Discrete Diffusion for Categorical Databy Lingxiao Zhao, Xueying Ding, Lijun Yu, Leman AkogluFirst submitted…
Clarify: Improving Model Robustness With Natural Language Correctionsby Yoonho Lee, Michelle S. Lam, Helena Vasconcelos,…
Similarity-based Neighbor Selection for Graph LLMsby Rui Li, Jiwei Li, Jiawei Han, Guoyin WangFirst submitted…
Statistical Test for Anomaly Detections by Variational Auto-Encodersby Daiki Miwa, Tomohiro Shiraishi, Vo Nguyen Le…
Learning Granger Causality from Instance-wise Self-attentive Hawkes Processesby Dongxia Wu, Tsuyoshi Idé, Aurélie Lozano, Georgios…
Deep Outdated Fact Detection in Knowledge Graphsby Huiling Tu, Shuo Yu, Vidya Saikrishna, Feng Xia,…