Summary of Neural Topology Optimization: the Good, the Bad, and the Ugly, by Suryanarayanan Manoj Sanu et al.
Neural topology optimization: the good, the bad, and the uglyby Suryanarayanan Manoj Sanu, Alejandro M.…
Summary of Hecix: Integrating Knowledge Graphs and Large Language Models For Biomedical Research, by Prerana Sanjay Kulkarni et al.
HeCiX: Integrating Knowledge Graphs and Large Language Models for Biomedical Researchby Prerana Sanjay Kulkarni, Muskaan…
Summary of Predictive Low Rank Matrix Learning Under Partial Observations: Mixed-projection Admm, by Dimitris Bertsimas and Nicholas A. G. Johnson
Predictive Low Rank Matrix Learning under Partial Observations: Mixed-Projection ADMMby Dimitris Bertsimas, Nicholas A. G.…
Summary of Understanding Reinforcement Learning-based Fine-tuning Of Diffusion Models: a Tutorial and Review, by Masatoshi Uehara et al.
Understanding Reinforcement Learning-Based Fine-Tuning of Diffusion Models: A Tutorial and Reviewby Masatoshi Uehara, Yulai Zhao,…
Summary of Crafting Efficient Fine-tuning Strategies For Large Language Models, by Michael Oliver and Guan Wang
Crafting Efficient Fine-Tuning Strategies for Large Language Modelsby Michael Oliver, Guan WangFirst submitted to arxiv…
Summary of Model-based Policy Optimization Using Symbolic World Model, by Andrey Gorodetskiy et al.
Model-based Policy Optimization using Symbolic World Modelby Andrey Gorodetskiy, Konstantin Mironov, Aleksandr PanovFirst submitted to…
Summary of Decision Focused Causal Learning For Direct Counterfactual Marketing Optimization, by Hao Zhou et al.
Decision Focused Causal Learning for Direct Counterfactual Marketing Optimizationby Hao Zhou, Rongxiao Huang, Shaoming Li,…
Summary of Understanding Reference Policies in Direct Preference Optimization, by Yixin Liu et al.
Understanding Reference Policies in Direct Preference Optimizationby Yixin Liu, Pengfei Liu, Arman CohanFirst submitted to…
Summary of Analyzing and Bridging the Gap Between Maximizing Total Reward and Discounted Reward in Deep Reinforcement Learning, by Shuyu Yin et al.
Analyzing and Bridging the Gap between Maximizing Total Reward and Discounted Reward in Deep Reinforcement…
Summary of Geometric Active Exploration in Markov Decision Processes: the Benefit Of Abstraction, by Riccardo De Santi et al.
Geometric Active Exploration in Markov Decision Processes: the Benefit of Abstractionby Riccardo De Santi, Federico…