Summary of Position: Leverage Foundational Models For Black-box Optimization, by Xingyou Song et al.
Position: Leverage Foundational Models for Black-Box Optimizationby Xingyou Song, Yingtao Tian, Robert Tjarko Lange, Chansoo…
Summary of Bridging Discrete and Continuous State Spaces: Exploring the Ehrenfest Process in Time-continuous Diffusion Models, by Ludwig Winkler et al.
Bridging discrete and continuous state spaces: Exploring the Ehrenfest process in time-continuous diffusion modelsby Ludwig…
Summary of Ililt: Implicit Learning Of Inverse Lithography Technologies, by Haoyu Yang et al.
ILILT: Implicit Learning of Inverse Lithography Technologiesby Haoyu Yang, Haoxing RenFirst submitted to arxiv on:…
Summary of Federated Reinforcement Learning with Constraint Heterogeneity, by Hao Jin et al.
Federated Reinforcement Learning with Constraint Heterogeneityby Hao Jin, Liangyu Zhang, Zhihua ZhangFirst submitted to arxiv…
Summary of Examining Changes in Internal Representations Of Continual Learning Models Through Tensor Decomposition, by Nishant Suresh Aswani et al.
Examining Changes in Internal Representations of Continual Learning Models Through Tensor Decompositionby Nishant Suresh Aswani,…
Summary of Communication-efficient Federated Learning with Adaptive Compression Under Dynamic Bandwidth, by Ying Zhuansun et al.
Communication-Efficient Federated Learning with Adaptive Compression under Dynamic Bandwidthby Ying Zhuansun, Dandan Li, Xiaohong Huang,…
Summary of Exploring the Frontiers Of Softmax: Provable Optimization, Applications in Diffusion Model, and Beyond, by Jiuxiang Gu et al.
Exploring the Frontiers of Softmax: Provable Optimization, Applications in Diffusion Model, and Beyondby Jiuxiang Gu,…
Summary of End-to-end Reinforcement Learning Of Curative Curtailment with Partial Measurement Availability, by Hinrikus Wolf et al.
End-to-End Reinforcement Learning of Curative Curtailment with Partial Measurement Availabilityby Hinrikus Wolf, Luis Böttcher, Sarra…
Summary of Multi-modality Spatio-temporal Forecasting Via Self-supervised Learning, by Jiewen Deng et al.
Multi-Modality Spatio-Temporal Forecasting via Self-Supervised Learningby Jiewen Deng, Renhe Jiang, Jiaqi Zhang, Xuan SongFirst submitted…
Summary of Interpretable Network Visualizations: a Human-in-the-loop Approach For Post-hoc Explainability Of Cnn-based Image Classification, by Matteo Bianchi et al.
Interpretable Network Visualizations: A Human-in-the-Loop Approach for Post-hoc Explainability of CNN-based Image Classificationby Matteo Bianchi,…