Summary of Compositional Generative Multiphysics and Multi-component Simulation, by Tao Zhang et al.
Compositional Generative Multiphysics and Multi-component Simulationby Tao Zhang, Zhenhai Liu, Feipeng Qi, Yongjun Jiao, Tailin…
Summary of Fanal — Financial Activity News Alerting Language Modeling Framework, by Urjitkumar Patel et al.
FANAL – Financial Activity News Alerting Language Modeling Frameworkby Urjitkumar Patel, Fang-Chun Yeh, Chinmay Gondhalekar,…
Summary of Flow Matching with General Discrete Paths: a Kinetic-optimal Perspective, by Neta Shaul et al.
Flow Matching with General Discrete Paths: A Kinetic-Optimal Perspectiveby Neta Shaul, Itai Gat, Marton Havasi,…
Summary of Saver: a Toolbox For Sampling-based, Probabilistic Verification Of Neural Networks, by Vignesh Sivaramakrishnan et al.
SAVER: A Toolbox for Sampling-Based, Probabilistic Verification of Neural Networksby Vignesh Sivaramakrishnan, Krishna C. Kalagarla,…
Summary of Utsd: Unified Time Series Diffusion Model, by Xiangkai Ma et al.
UTSD: Unified Time Series Diffusion Modelby Xiangkai Ma, Xiaobin Hong, Wenzhong Li, Sanglu LuFirst submitted…
Summary of Comet:combined Matrix For Elucidating Targets, by Haojie Wang et al.
COMET:Combined Matrix for Elucidating Targetsby Haojie Wang, Zhe Zhang, Haotian Gao, Xiangying Zhang, Jingyuan Li,…
Summary of Mep-net: Generating Solutions to Scientific Problems with Limited Knowledge by Maximum Entropy Principle, By Wuyue Yang et al.
MEP-Net: Generating Solutions to Scientific Problems with Limited Knowledge by Maximum Entropy Principleby Wuyue Yang,…
Summary of Dynamic Logistic Ensembles with Recursive Probability and Automatic Subset Splitting For Enhanced Binary Classification, by Mohammad Zubair Khan and David Li
Dynamic Logistic Ensembles with Recursive Probability and Automatic Subset Splitting for Enhanced Binary Classificationby Mohammad…
Summary of Inference Scaling Flaws: the Limits Of Llm Resampling with Imperfect Verifiers, by Benedikt Stroebl et al.
Inference Scaling fLaws: The Limits of LLM Resampling with Imperfect Verifiersby Benedikt Stroebl, Sayash Kapoor,…
Summary of Learning From Noisy Labels Via Conditional Distributionally Robust Optimization, by Hui Guo et al.
Learning from Noisy Labels via Conditional Distributionally Robust Optimizationby Hui Guo, Grace Y. Yi, Boyu…