Summary of Symmetries in Overparametrized Neural Networks: a Mean-field View, by Javier Maass and Joaquin Fontbona
Symmetries in Overparametrized Neural Networks: A Mean-Field Viewby Javier Maass, Joaquin FontbonaFirst submitted to arxiv…
Symmetries in Overparametrized Neural Networks: A Mean-Field Viewby Javier Maass, Joaquin FontbonaFirst submitted to arxiv…
Kernel Language Entropy: Fine-grained Uncertainty Quantification for LLMs from Semantic Similaritiesby Alexander Nikitin, Jannik Kossen,…
FlexiDrop: Theoretical Insights and Practical Advances in Random Dropout Method on GNNsby Zhiheng Zhou, Sihao…
subMFL: Compatiple subModel Generation for Federated Learning in Device Heterogenous Environmentby Zeyneddin Oz, Ceylan Soygul…
A Random Forest-based Prediction Model for Turning Points in Antagonistic Event-Group Competitionsby Zishuo ZhuFirst submitted…
Task-Agnostic Machine-Learning-Assisted Inferenceby Jiacheng Miao, Qiongshi LuFirst submitted to arxiv on: 30 May 2024CategoriesMain: Machine…
CycleFormer : TSP Solver Based on Language Modelingby Jieun Yook, Junpyo Seo, Joon Huh, Han…
Iterative Learning Control of Fast, Nonlinear, Oscillatory Dynamics (Preprint)by John W. Brooks, Christine M. GreveFirst…
Would I Lie To You? Inference Time Alignment of Language Models using Direct Preference Headsby…
Threshold-Independent Fair Matching through Score Calibrationby Mohammad Hossein Moslemi, Mostafa MilaniFirst submitted to arxiv on:…