Summary of Flow Matching Achieves Almost Minimax Optimal Convergence, by Kenji Fukumizu et al.
Flow matching achieves almost minimax optimal convergenceby Kenji Fukumizu, Taiji Suzuki, Noboru Isobe, Kazusato Oko,…
Summary of Sheaf Hypernetworks For Personalized Federated Learning, by Bao Nguyen et al.
Sheaf HyperNetworks for Personalized Federated Learningby Bao Nguyen, Lorenzo Sani, Xinchi Qiu, Pietro Liò, Nicholas…
Summary of Veni, Vindy, Vici: a Variational Reduced-order Modeling Framework with Uncertainty Quantification, by Paolo Conti et al.
VENI, VINDy, VICI: a variational reduced-order modeling framework with uncertainty quantificationby Paolo Conti, Jonas Kneifl,…
Summary of Concentration Bounds For Optimized Certainty Equivalent Risk Estimation, by Ayon Ghosh et al.
Concentration Bounds for Optimized Certainty Equivalent Risk Estimationby Ayon Ghosh, L.A. Prashanth, Krishna JagannathanFirst submitted…
Summary of Fast Yet Safe: Early-exiting with Risk Control, by Metod Jazbec et al.
Fast yet Safe: Early-Exiting with Risk Controlby Metod Jazbec, Alexander Timans, Tin Hadži Veljković, Kaspar…
Summary of Effective Interplay Between Sparsity and Quantization: From Theory to Practice, by Simla Burcu Harma et al.
Effective Interplay between Sparsity and Quantization: From Theory to Practiceby Simla Burcu Harma, Ayan Chakraborty,…
Summary of Pual: a Classifier on Trifurcate Positive-unlabeled Data, by Xiaoke Wang et al.
PUAL: A Classifier on Trifurcate Positive-Unlabeled Databy Xiaoke Wang, Xiaochen Yang, Rui Zhu, Jing-Hao XueFirst…
Summary of Amortizing Intractable Inference in Diffusion Models For Vision, Language, and Control, by Siddarth Venkatraman et al.
Amortizing intractable inference in diffusion models for vision, language, and controlby Siddarth Venkatraman, Moksh Jain,…
Summary of Lcq: Low-rank Codebook Based Quantization For Large Language Models, by Wen-pu Cai et al.
LCQ: Low-Rank Codebook based Quantization for Large Language Modelsby Wen-Pu Cai, Ming-Yang Li, Wu-Jun LiFirst…
Summary of Sayself: Teaching Llms to Express Confidence with Self-reflective Rationales, by Tianyang Xu et al.
SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationalesby Tianyang Xu, Shujin Wu, Shizhe Diao,…