Summary of Stepping Out Of the Shadows: Reinforcement Learning in Shadow Mode, by Philipp Gassert et al.
Stepping Out of the Shadows: Reinforcement Learning in Shadow Modeby Philipp Gassert, Matthias AlthoffFirst submitted…
Summary of Flowllm: Flow Matching For Material Generation with Large Language Models As Base Distributions, by Anuroop Sriram et al.
FlowLLM: Flow Matching for Material Generation with Large Language Models as Base Distributionsby Anuroop Sriram,…
Summary of Communication-efficient Federated Learning Over Wireless Channels Via Gradient Sketching, by Vineet Sunil Gattani et al.
Communication-Efficient Federated Learning over Wireless Channels via Gradient Sketchingby Vineet Sunil Gattani, Junshan Zhang, Gautam…
Summary of Dynamic Information Sub-selection For Decision Support, by Hung-tien Huang et al.
Dynamic Information Sub-Selection for Decision Supportby Hung-Tien Huang, Maxwell Lennon, Shreyas Bhat Brahmavar, Sean Sylvia,…
Summary of Model-free Low-rank Reinforcement Learning Via Leveraged Entry-wise Matrix Estimation, by Stefan Stojanovic et al.
Model-free Low-Rank Reinforcement Learning via Leveraged Entry-wise Matrix Estimationby Stefan Stojanovic, Yassir Jedra, Alexandre ProutiereFirst…
Summary of Mind the Gap: a Generalized Approach For Cross-modal Embedding Alignment, by Arihan Yadav et al.
Mind the Gap: A Generalized Approach for Cross-Modal Embedding Alignmentby Arihan Yadav, Alan McMillanFirst submitted…
Summary of Learning and Transferring Sparse Contextual Bigrams with Linear Transformers, by Yunwei Ren et al.
Learning and Transferring Sparse Contextual Bigrams with Linear Transformersby Yunwei Ren, Zixuan Wang, Jason D.…
Summary of Learning Lipschitz Operators with Respect to Gaussian Measures with Near-optimal Sample Complexity, by Ben Adcock and Michael Griebel and Gregor Maier
Learning Lipschitz Operators with respect to Gaussian Measures with Near-Optimal Sample Complexityby Ben Adcock, Michael…
Summary of Return Augmented Decision Transformer For Off-dynamics Reinforcement Learning, by Ruhan Wang et al.
Return Augmented Decision Transformer for Off-Dynamics Reinforcement Learningby Ruhan Wang, Yu Yang, Zhishuai Liu, Dongruo…
Summary of Rethinking Deep Thinking: Stable Learning Of Algorithms Using Lipschitz Constraints, by Jay Bear et al.
Rethinking Deep Thinking: Stable Learning of Algorithms using Lipschitz Constraintsby Jay Bear, Adam Prügel-Bennett, Jonathon…