Summary of Arbitrarily-conditioned Multi-functional Diffusion For Multi-physics Emulation, by Da Long et al.
Arbitrarily-Conditioned Multi-Functional Diffusion for Multi-Physics Emulationby Da Long, Zhitong Xu, Guang Yang, Akil Narayan, Shandian…
Summary of Unearthing Skill-level Insights For Understanding Trade-offs Of Foundation Models, by Mazda Moayeri et al.
Unearthing Skill-Level Insights for Understanding Trade-Offs of Foundation Modelsby Mazda Moayeri, Vidhisha Balachandran, Varun Chandrasekaran,…
Summary of Generative Conformal Prediction with Vectorized Non-conformity Scores, by Minxing Zheng et al.
Generative Conformal Prediction with Vectorized Non-Conformity Scoresby Minxing Zheng, Shixiang ZhuFirst submitted to arxiv on:…
Summary of Improved Convergence Rate For Diffusion Probabilistic Models, by Gen Li et al.
Improved Convergence Rate for Diffusion Probabilistic Modelsby Gen Li, Yuchen JiaoFirst submitted to arxiv on:…
Summary of Supervised Kernel Thinning, by Albert Gong et al.
Supervised Kernel Thinningby Albert Gong, Kyuseong Choi, Raaz DwivediFirst submitted to arxiv on: 17 Oct…
Summary of Single-timescale Multi-sequence Stochastic Approximation Without Fixed Point Smoothness: Theories and Applications, by Yue Huang et al.
Single-Timescale Multi-Sequence Stochastic Approximation Without Fixed Point Smoothness: Theories and Applicationsby Yue Huang, Zhaoxian Wu,…
Summary of Virtual Sensing-enabled Digital Twin Framework For Real-time Monitoring Of Nuclear Systems Leveraging Deep Neural Operators, by Raisa Bentay Hossain et al.
Virtual Sensing-Enabled Digital Twin Framework for Real-Time Monitoring of Nuclear Systems Leveraging Deep Neural Operatorsby…
Summary of Sada-net: a Self-supervised Adaptive Stereo Estimation Cnn For Remote Sensing Image Data, by Dominik Hirner et al.
SAda-Net: A Self-Supervised Adaptive Stereo Estimation CNN For Remote Sensing Image Databy Dominik Hirner, Friedrich…
Summary of Adaptive and Oblivious Statistical Adversaries Are Equivalent, by Guy Blanc et al.
Adaptive and oblivious statistical adversaries are equivalentby Guy Blanc, Gregory ValiantFirst submitted to arxiv on:…
Summary of Generalization Bounds Via Meta-learned Model Representations: Pac-bayes and Sample Compression Hypernetworks, by Benjamin Leblanc et al.
Generalization Bounds via Meta-Learned Model Representations: PAC-Bayes and Sample Compression Hypernetworksby Benjamin Leblanc, Mathieu Bazinet,…