Invariance Learning in Deep Neural Networks with Differentiable Laplace
Approximations

Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations

22 February 2022

Alexander Immer

Tycho F. A. van der Ouderaa

Vincent Fortuin

Mark van der Wilk

Papers citing "Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations"

13 / 13 papers shown

Title
A Complexity-Based Theory of Compositionality Eric Elmoznino Thomas Jiralerspong Yoshua Bengio Guillaume Lajoie CoGe 56 3 0 18 Oct 2024
Influence Functions for Scalable Data Attribution in Diffusion Models Bruno Mlodozeniec Runa Eschenhagen Juhan Bae Alexander Immer David Krueger Richard E. Turner TDI DiffM 75 4 0 17 Oct 2024
The LLM Surgeon Tycho F. A. van der Ouderaa Markus Nagel M. V. Baalen Yuki Markus Asano Tijmen Blankevoort 19 14 0 28 Dec 2023
Resilient Constrained Learning Ignacio Hounie Alejandro Ribeiro Luiz F. O. Chamon 16 9 0 04 Jun 2023
Amortised Invariance Learning for Contrastive Self-Supervision Ruchika Chavhan H. Gouk Jan Stuehmer Calum Heggan Mehrdad Yaghoobi Timothy M. Hospedales SSL 20 11 0 24 Feb 2023
The Geometry of Neural Nets' Parameter Spaces Under Reparametrization Agustinus Kristiadi Felix Dangel Philipp Hennig 11 10 0 14 Feb 2023
Automatic Data Augmentation via Invariance-Constrained Learning Ignacio Hounie Luiz F. O. Chamon Alejandro Ribeiro 13 10 0 29 Sep 2022
Laplacian Autoencoders for Learning Stochastic Representations M. Miani Frederik Warburg Pablo Moreno-Muñoz Nicke Skafte Detlefsen Søren Hauberg UQCV BDL SSL 17 10 0 30 Jun 2022
Bayesian Model Selection, the Marginal Likelihood, and Generalization Sanae Lotfi Pavel Izmailov Gregory W. Benton Micah Goldblum A. Wilson UQCV BDL 45 56 0 23 Feb 2022
Probing as Quantifying Inductive Bias Alexander Immer Lucas Torroba Hennigen Vincent Fortuin Ryan Cotterell 32 15 0 15 Oct 2021
E(3)-Equivariant Graph Neural Networks for Data-Efficient and Accurate Interatomic Potentials Simon L. Batzner Albert Musaelian Lixin Sun Mario Geiger J. Mailoa M. Kornbluth N. Molinari Tess E. Smidt Boris Kozinsky 188 1,229 0 08 Jan 2021
Towards Learning Convolutions from Scratch Behnam Neyshabur SSL 214 71 0 27 Jul 2020
Manifold Gaussian Processes for Regression Roberto Calandra Jan Peters C. Rasmussen M. Deisenroth 84 271 0 24 Feb 2014