Emergent Equivariance in Deep Ensembles

5 March 2024

Papers citing "Emergent Equivariance in Deep Ensembles"

9 / 9 papers shown

Title
How simple can you go? An off-the-shelf transformer approach to molecular dynamics Max Eissler Tim Korjakow Stefan Ganscha Oliver T. Unke Klaus-Robert Müller Stefan Gugler 60 1 0 03 Mar 2025
Data Augmentation and Regularization for Learning Group Equivariance Oskar Nordenfors Axel Flinth 54 0 0 10 Feb 2025
On the Ability of Deep Networks to Learn Symmetries from Data: A Neural Kernel Theory Andrea Perin Stéphane Deny 93 1 0 16 Dec 2024
Ensembles provably learn equivariance through data augmentation Oskar Nordenfors Axel Flinth MLT 31 3 0 02 Oct 2024
Equivariant Neural Tangent Kernels Philipp Misof Pan Kessel Jan E. Gerken 52 0 0 10 Jun 2024
Equivariant Adaptation of Large Pretrained Models Arnab Kumar Mondal Siba Smarak Panigrahi Sekouba Kaba Sai Rajeswar Siamak Ravanbakhsh 45 27 0 02 Oct 2023
Frame Averaging for Invariant and Equivariant Network Design Omri Puny Matan Atzmon Heli Ben-Hamu Ishan Misra Aditya Grover Edward James Smith Y. Lipman FedML 42 90 0 07 Oct 2021
Learning with invariances in random features and kernel models Song Mei Theodor Misiakiewicz Andrea Montanari OOD 46 89 0 25 Feb 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 270 5,660 0 05 Dec 2016