Summary of Predictive Coding For Decision Transformer, by Tung M. Luu et al.
Predictive Coding for Decision Transformerby Tung M. Luu, Donghoon Lee, Chang D. YooFirst submitted to…
Summary of Remaining Useful Life Prediction: a Study on Multidimensional Industrial Signal Processing and Efficient Transfer Learning Based on Large Language Models, by Yan Chen et al.
Remaining Useful Life Prediction: A Study on Multidimensional Industrial Signal Processing and Efficient Transfer Learning…
Summary of Learning Semantic Structure Through First-order-logic Translation, by Akshay Chaturvedi et al.
Learning Semantic Structure through First-Order-Logic Translationby Akshay Chaturvedi, Nicholas AsherFirst submitted to arxiv on: 4…
Summary of Large Language Models As Markov Chains, by Oussama Zekri et al.
Large Language Models as Markov Chainsby Oussama Zekri, Ambroise Odonnat, Abdelhakim Benechehab, Linus Bleistein, Nicolas…
Summary of Ood-chameleon: Is Algorithm Selection For Ood Generalization Learnable?, by Liangze Jiang et al.
OOD-Chameleon: Is Algorithm Selection for OOD Generalization Learnable?by Liangze Jiang, Damien TeneyFirst submitted to arxiv…
Summary of Scalable Simulation-free Entropic Unbalanced Optimal Transport, by Jaemoo Choi et al.
Scalable Simulation-free Entropic Unbalanced Optimal Transportby Jaemoo Choi, Jaewoong ChoiFirst submitted to arxiv on: 3…
Summary of Meta-models: An Architecture For Decoding Llm Behaviors Through Interpreted Embeddings and Natural Language, by Anthony Costarelli et al.
Meta-Models: An Architecture for Decoding LLM Behaviors Through Interpreted Embeddings and Natural Languageby Anthony Costarelli,…
Summary of Saflex: Self-adaptive Augmentation Via Feature Label Extrapolation, by Mucong Ding et al.
SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolationby Mucong Ding, Bang An, Yuancheng Xu, Anirudh Satheesh,…
Summary of Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning Via Equivariance, by Joshua Mcclellan et al.
Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning via Equivarianceby Joshua McClellan, Naveed Haghani,…
Summary of Simplicity Bias and Optimization Threshold in Two-layer Relu Networks, by Etienne Boursier and Nicolas Flammarion
Simplicity bias and optimization threshold in two-layer ReLU networksby Etienne Boursier, Nicolas FlammarionFirst submitted to…