Summary of Estimating the Stability Number Of a Random Graph Using Convolutional Neural Networks, by Randy Davila
Estimating the stability number of a random graph using convolutional neural networksby Randy DavilaFirst submitted…
Summary of Dynamical Measure Transport and Neural Pde Solvers For Sampling, by Jingtong Sun et al.
Dynamical Measure Transport and Neural PDE Solvers for Samplingby Jingtong Sun, Julius Berner, Lorenz Richter,…
Summary of Towards Robust Alignment Of Language Models: Distributionally Robustifying Direct Preference Optimization, by Junkang Wu et al.
Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimizationby Junkang Wu, Yuexiang Xie,…
Summary of Deconstructing What Makes a Good Optimizer For Language Models, by Rosie Zhao et al.
Deconstructing What Makes a Good Optimizer for Language Modelsby Rosie Zhao, Depen Morwani, David Brandfonbrener,…
Summary of Resource Allocation For Twin Maintenance and Computing Task Processing in Digital Twin Vehicular Edge Computing Network, by Yu Xie et al.
Resource Allocation for Twin Maintenance and Computing Task Processing in Digital Twin Vehicular Edge Computing…
Summary of Stochastic Gradient Descent For Two-layer Neural Networks, by Dinghao Cao et al.
Stochastic Gradient Descent for Two-layer Neural Networksby Dinghao Cao, Zheng-Chu Guo, Lei ShiFirst submitted to…
Summary of Insight: Universal Neural Simulator For Analog Circuits Harnessing Autoregressive Transformers, by Souradip Poddar et al.
INSIGHT: Universal Neural Simulator for Analog Circuits Harnessing Autoregressive Transformersby Souradip Poddar, Youngmin Oh, Yao…
Summary of Can Learned Optimization Make Reinforcement Learning Less Difficult?, by Alexander David Goldie et al.
Can Learned Optimization Make Reinforcement Learning Less Difficult?by Alexander David Goldie, Chris Lu, Matthew Thomas…
Summary of Stabilized Proximal-point Methods For Federated Optimization, by Xiaowen Jiang et al.
Stabilized Proximal-Point Methods for Federated Optimizationby Xiaowen Jiang, Anton Rodomanov, Sebastian U. StichFirst submitted to…
Summary of Congo: Compressive Online Gradient Optimization, by Jeremy Carleton et al.
CONGO: Compressive Online Gradient Optimizationby Jeremy Carleton, Prathik Vijaykumar, Divyanshu Saxena, Dheeraj Narasimha, Srinivas Shakkottai,…