Summary of Learning-rate-free Stochastic Optimization Over Riemannian Manifolds, by Daniel Dodd et al.
Learning-Rate-Free Stochastic Optimization over Riemannian Manifoldsby Daniel Dodd, Louis Sharrock, Christopher NemethFirst submitted to arxiv…
Summary of Effects Of Exponential Gaussian Distribution on (double Sampling) Randomized Smoothing, by Youwei Shu et al.
Effects of Exponential Gaussian Distribution on (Double Sampling) Randomized Smoothingby Youwei Shu, Xi Xiao, Derui…
Summary of Disentangled Representation Via Variational Autoencoder For Continuous Treatment Effect Estimation, by Ruijing Cui et al.
Disentangled Representation via Variational AutoEncoder for Continuous Treatment Effect Estimationby Ruijing Cui, Jianbin Sun, Bingyu…
Summary of Generative Conditional Distributions by Neural (entropic) Optimal Transport, By Bao Nguyen et al.
Generative Conditional Distributions by Neural (Entropic) Optimal Transportby Bao Nguyen, Binh Nguyen, Hieu Trung Nguyen,…
Summary of Pefad: a Parameter-efficient Federated Framework For Time Series Anomaly Detection, by Ronghui Xu et al.
PeFAD: A Parameter-Efficient Federated Framework for Time Series Anomaly Detectionby Ronghui Xu, Hao Miao, Senzhang…
Summary of A Survey Of Transformer Enabled Time Series Synthesis, by Alexander Sommers et al.
A Survey of Transformer Enabled Time Series Synthesisby Alexander Sommers, Logan Cummins, Sudip Mittal, Shahram…
Summary of Continual Unsupervised Out-of-distribution Detection, by Lars Doorenbos et al.
Continual Unsupervised Out-of-Distribution Detectionby Lars Doorenbos, Raphael Sznitman, Pablo Márquez-NeilaFirst submitted to arxiv on: 4…
Summary of Extended Mind Transformers, by Phoebe Klett and Thomas Ahle
Extended Mind Transformersby Phoebe Klett, Thomas AhleFirst submitted to arxiv on: 4 Jun 2024CategoriesMain: Machine…
Summary of On Affine Homotopy Between Language Encoders, by Robin Sm Chan et al.
On Affine Homotopy between Language Encodersby Robin SM Chan, Reda Boumasmoud, Anej Svete, Yuxin Ren,…
Summary of Polynomial-augmented Neural Networks (panns) with Weak Orthogonality Constraints For Enhanced Function and Pde Approximation, by Madison Cooley et al.
Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximationby Madison…