Summary of On the Expressiveness and Spectral Bias Of Kans, by Yixuan Wang et al.
On the expressiveness and spectral bias of KANsby Yixuan Wang, Jonathan W. Siegel, Ziming Liu,…
Summary of Bayes-catsi: a Variational Bayesian Deep Learning Framework For Medical Time Series Data Imputation, by Omkar Kulkarni and Rohitash Chandra
Bayes-CATSI: A variational Bayesian deep learning framework for medical time series data imputationby Omkar Kulkarni,…
Summary of Text2pde: Latent Diffusion Models For Accessible Physics Simulation, by Anthony Zhou et al.
Text2PDE: Latent Diffusion Models for Accessible Physics Simulationby Anthony Zhou, Zijie Li, Michael Schneier, John…
Summary of [re] Network Deconvolution, by Rochana R. Obadage et al.
[Re] Network Deconvolutionby Rochana R. Obadage, Kumushini Thennakoon, Sarah M. Rajtmajer, Jian WuFirst submitted to…
Summary of Were Rnns All We Needed?, by Leo Feng et al.
Were RNNs All We Needed?by Leo Feng, Frederick Tung, Mohamed Osama Ahmed, Yoshua Bengio, Hossein…
Summary of Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Unveiling Ai’s Potential Through Tools, Techniques, and Applications, by Pohsun Feng et al.
Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Unveiling AI’s Potential Through…
Summary of Back to Bayesics: Uncovering Human Mobility Distributions and Anomalies with An Integrated Statistical and Neural Framework, by Minxuan Duan et al.
Back to Bayesics: Uncovering Human Mobility Distributions and Anomalies with an Integrated Statistical and Neural…
Summary of Deep Nets with Subsampling Layers Unwittingly Discard Useful Activations at Test-time, by Chiao-an Yang et al.
Deep Nets with Subsampling Layers Unwittingly Discard Useful Activations at Test-Timeby Chiao-An Yang, Ziwei Liu,…
Summary of An Introduction to Deep Survival Analysis Models For Predicting Time-to-event Outcomes, by George H. Chen
An Introduction to Deep Survival Analysis Models for Predicting Time-to-Event Outcomesby George H. ChenFirst submitted…
Summary of Learning Stochastic Dynamics From Snapshots Through Regularized Unbalanced Optimal Transport, by Zhenyi Zhang et al.
Learning stochastic dynamics from snapshots through regularized unbalanced optimal transportby Zhenyi Zhang, Tiejun Li, Peijie…