Summary of Time Transfer: on Optimal Learning Rate and Batch Size in the Infinite Data Limit, by Oleg Filatov et al.
Time Transfer: On Optimal Learning Rate and Batch Size In The Infinite Data Limitby Oleg…
Time Transfer: On Optimal Learning Rate and Batch Size In The Infinite Data Limitby Oleg…
Improved Sample Complexity for Private Nonsmooth Nonconvex Optimizationby Guy Kornowski, Daogao Liu, Kunal TalwarFirst submitted…
Ordering-Based Causal Discovery for Linear and Nonlinear Relationsby Zhuopeng Xu, Yujie Li, Cheng Liu, Ning…
Deep learning-based fault identification in condition monitoringby Hariom Dhungana, Suresh Kumar Mukhiya, Pragya Dhungana, Benjamin…
DimOL: Dimensional Awareness as A New ‘Dimension’ in Operator Learningby Yichen Song, Jiaming Wang, Yunbo…
Manifolds, Random Matrices and Spectral Gaps: The geometric phases of generative diffusionby Enrico Ventura, Beatrice…
Brain-inspired continual pre-trained learner via silent synaptic consolidationby Xuming Ran, Juntao Yao, Yusong Wang, Mingkun…
Accelerating Error Correction Code Transformersby Matan Levy, Yoni Choukroun, Lior WolfFirst submitted to arxiv on:…
Active Evaluation Acquisition for Efficient LLM Benchmarkingby Yang Li, Jie Ma, Miguel Ballesteros, Yassine Benajiba,…
Single Point-Based Distributed Zeroth-Order Optimization with a Non-Convex Stochastic Objective Functionby Elissa Mhanna, Mohamad AssaadFirst…