Summary of Dmc-vb: a Benchmark For Representation Learning For Control with Visual Distractors, by Joseph Ortiz et al.
DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractorsby Joseph Ortiz, Antoine Dedieu,…
Summary of Local Prediction-powered Inference, by Yanwu Gu and Dong Xia
Local Prediction-Powered Inferenceby Yanwu Gu, Dong XiaFirst submitted to arxiv on: 26 Sep 2024CategoriesMain: Machine…
Summary of Feddcl: a Federated Data Collaboration Learning As a Hybrid-type Privacy-preserving Framework Based on Federated Learning and Data Collaboration, by Akira Imakura et al.
FedDCL: a federated data collaboration learning as a hybrid-type privacy-preserving framework based on federated learning…
Summary of Benchmarking Graph Conformal Prediction: Empirical Analysis, Scalability, and Theoretical Insights, by Pranav Maneriker et al.
Benchmarking Graph Conformal Prediction: Empirical Analysis, Scalability, and Theoretical Insightsby Pranav Maneriker, Aditya T. Vadlamani,…
Summary of Generative Ai For Fast and Accurate Statistical Computation Of Fluids, by Roberto Molinaro et al.
Generative AI for fast and accurate statistical computation of fluidsby Roberto Molinaro, Samuel Lanthaler, Bogdan…
Summary of Multi-hypotheses Conditioned Point Cloud Diffusion For 3d Human Reconstruction From Occluded Images, by Donghwan Kim et al.
Multi-hypotheses Conditioned Point Cloud Diffusion for 3D Human Reconstruction from Occluded Imagesby Donghwan Kim, Tae-Kyun…
Summary of Discovery and Inversion Of the Viscoelastic Wave Equation in Inhomogeneous Media, by Su Chen et al.
Discovery and inversion of the viscoelastic wave equation in inhomogeneous mediaby Su Chen, Yi Ding,…
Summary of A Model-constrained Discontinuous Galerkin Network (dgnet) For Compressible Euler Equations with Out-of-distribution Generalization, by Hai V. Nguyen et al.
A Model-Constrained Discontinuous Galerkin Network (DGNet) for Compressible Euler Equations with Out-of-Distribution Generalizationby Hai V.…
Summary of Adaptive Learning Of the Latent Space Of Wasserstein Generative Adversarial Networks, by Yixuan Qiu et al.
Adaptive Learning of the Latent Space of Wasserstein Generative Adversarial Networksby Yixuan Qiu, Qingyi Gao,…
Summary of Embed and Emulate: Contrastive Representations For Simulation-based Inference, by Ruoxi Jiang et al.
Embed and Emulate: Contrastive representations for simulation-based inferenceby Ruoxi Jiang, Peter Y. Lu, Rebecca WillettFirst…