Summary of Dynamic Inhomogeneous Quantum Resource Scheduling with Reinforcement Learning, by Linsen Li et al.
Dynamic Inhomogeneous Quantum Resource Scheduling with Reinforcement Learningby Linsen Li, Pratyush Anand, Kaiming He, Dirk…
Summary of Multi-player Approaches For Dueling Bandits, by or Raveh et al.
Multi-Player Approaches for Dueling Banditsby Or Raveh, Junya Honda, Masashi SugiyamaFirst submitted to arxiv on:…
Summary of Theoretical Study Of Conflict-avoidant Multi-objective Reinforcement Learning, by Yudan Wang et al.
Theoretical Study of Conflict-Avoidant Multi-Objective Reinforcement Learningby Yudan Wang, Peiyao Xiao, Hao Ban, Kaiyi Ji,…
Summary of Explainable Molecular Property Prediction: Aligning Chemical Concepts with Predictions Via Language Models, by Zhenzhong Wang et al.
Explainable Molecular Property Prediction: Aligning Chemical Concepts with Predictions via Language Modelsby Zhenzhong Wang, Zehui…
Summary of Scaling Diffusion Mamba with Bidirectional Ssms For Efficient Image and Video Generation, by Shentong Mo et al.
Scaling Diffusion Mamba with Bidirectional SSMs for Efficient Image and Video Generationby Shentong Mo, Yapeng…
Summary of Unitnorm: Rethinking Normalization For Transformers in Time Series, by Nan Huang et al.
UnitNorm: Rethinking Normalization for Transformers in Time Seriesby Nan Huang, Christian Kümmerle, Xiang ZhangFirst submitted…
Summary of Dissecting the Interplay Of Attention Paths in a Statistical Mechanics Theory Of Transformers, by Lorenzo Tiberi et al.
Dissecting the Interplay of Attention Paths in a Statistical Mechanics Theory of Transformersby Lorenzo Tiberi,…
Summary of Infinite Limits Of Multi-head Transformer Dynamics, by Blake Bordelon et al.
Infinite Limits of Multi-head Transformer Dynamicsby Blake Bordelon, Hamza Tahir Chaudhry, Cengiz PehlevanFirst submitted to…
Summary of Understanding the Differences in Foundation Models: Attention, State Space Models, and Recurrent Neural Networks, by Jerome Sieber et al.
Understanding the differences in Foundation Models: Attention, State Space Models, and Recurrent Neural Networksby Jerome…
Summary of Improved Particle Approximation Error For Mean Field Neural Networks, by Atsushi Nitanda
Improved Particle Approximation Error for Mean Field Neural Networksby Atsushi NitandaFirst submitted to arxiv on:…