Summary of Grams: Gradient Descent with Adaptive Momentum Scaling, by Yang Cao et al.
Grams: Gradient Descent with Adaptive Momentum Scalingby Yang Cao, Xiaoyu Li, Zhao SongFirst submitted to…
Summary of Adam on Local Time: Addressing Nonstationarity in Rl with Relative Adam Timesteps, by Benjamin Ellis et al.
Adam on Local Time: Addressing Nonstationarity in RL with Relative Adam Timestepsby Benjamin Ellis, Matthew…
Summary of Fair and Accurate Regression: Strong Formulations and Algorithms, by Anna Deza et al.
Fair and Accurate Regression: Strong Formulations and Algorithmsby Anna Deza, Andrés Gómez, Alper AtamtürkFirst submitted…
Summary of Unifying Feature-based Explanations with Functional Anova and Cooperative Game Theory, by Fabian Fumagalli et al.
Unifying Feature-Based Explanations with Functional ANOVA and Cooperative Game Theoryby Fabian Fumagalli, Maximilian Muschalik, Eyke…
Summary of Splitfedzip: Learned Compression For Data Transfer Reduction in Split-federated Learning, by Chamani Shiranthika et al.
SplitFedZip: Learned Compression for Data Transfer Reduction in Split-Federated Learningby Chamani Shiranthika, Hadi Hadizadeh, Parvaneh…
Summary of Fairness in Reinforcement Learning with Bisimulation Metrics, by Sahand Rezaei-shoshtari et al.
Fairness in Reinforcement Learning with Bisimulation Metricsby Sahand Rezaei-Shoshtari, Hanna Yurchyk, Scott Fujimoto, Doina Precup,…
Summary of Empirical Evaluation Of Normalizing Flows in Markov Chain Monte Carlo, by David Nabergoj et al.
Empirical evaluation of normalizing flows in Markov Chain Monte Carloby David Nabergoj, Erik ŠtrumbeljFirst submitted…
Summary of Distilled Decoding 1: One-step Sampling Of Image Auto-regressive Models with Flow Matching, by Enshu Liu et al.
Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matchingby Enshu Liu, Xuefei…
Summary of The Potential Of Convolutional Neural Networks For Cancer Detection, by Hossein Molaeian et al.
The Potential of Convolutional Neural Networks for Cancer Detectionby Hossein Molaeian, Kaveh Karamjani, Sina Teimouri,…
Summary of Generative Diffusion Modeling: a Practical Handbook, by Zihan Ding et al.
Generative Diffusion Modeling: A Practical Handbookby Zihan Ding, Chi JinFirst submitted to arxiv on: 22…