Laplace Redux -- Effortless Bayesian Deep Learning

28 June 2021

Papers citing "Laplace Redux -- Effortless Bayesian Deep Learning"

50 / 211 papers shown

Title
Flexible Heteroscedastic Count Regression with Deep Double Poisson Networks Spencer Young P. Jenkins Lonchao Da Jeff Dotson Hua Wei UQCV BDL 26 2 0 13 Jun 2024
How Useful is Intermittent, Asynchronous Expert Feedback for Bayesian Optimization? Agustinus Kristiadi Felix Strieth-Kalthoff Sriram Ganapathi Subramanian Vincent Fortuin Pascal Poupart Geoff Pleiss 39 2 0 10 Jun 2024
Linearization Turns Neural Operators into Function-Valued Gaussian Processes Emilia Magnani Marvin Pfortner Tobias Weber Philipp Hennig UQCV 55 1 0 07 Jun 2024
Reparameterization invariance in approximate Bayesian inference Hrittik Roy M. Miani Carl Henrik Ek Philipp Hennig Marvin Pfortner Lukas Tatzel Søren Hauberg BDL 36 8 0 05 Jun 2024
Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise T. Pouplin Alan Jeffares Nabeel Seedat Mihaela van der Schaar 45 3 0 05 Jun 2024
Scalable Bayesian Learning with posteriors Samuel Duffield Kaelan Donatella Johnathan Chiu Phoebe Klett Daniel Simpson BDL UQCV 43 1 0 31 May 2024
Evaluating Bayesian deep learning for radio galaxy classification Devina Mohan Anna M. M. Scaife UQCV BDL 31 1 0 28 May 2024
Gradients of Functions of Large Matrices Nicholas Krämer Pablo Moreno-Muñoz Hrittik Roy Søren Hauberg 27 0 0 27 May 2024
Credal Wrapper of Model Averaging for Uncertainty Estimation in Classification Kaizheng Wang Fabio Cuzzolin Keivan K1 Shariatmadar David Moens Hans Hallez UQCV BDL 63 6 0 23 May 2024
Generalized Laplace Approximation Yinsong Chen Samson S. Yu Zhong Li Chee Peng Lim BDL 43 0 0 22 May 2024
Gaussian Stochastic Weight Averaging for Bayesian Low-Rank Adaptation of Large Language Models Emre Onal Klemens Flöge Emma Caldwell A. Sheverdin Vincent Fortuin UQCV BDL 32 9 0 06 May 2024
Making Better Use of Unlabelled Data in Bayesian Active Learning Freddie Bickford-Smith Adam Foster Tom Rainforth 20 3 0 26 Apr 2024
Variational Bayesian Last Layers James Harrison John Willes Jasper Snoek BDL UQCV 51 23 0 17 Apr 2024
Epistemic Uncertainty Quantification For Pre-trained Neural Network Hanjing Wang Qiang Ji UQCV 18 2 0 15 Apr 2024
Fast Fishing: Approximating BAIT for Efficient and Scalable Deep Active Image Classification Denis Huseljic Paul Hahn M. Herde Lukas Rauch Bernhard Sick 16 1 0 13 Apr 2024
Uncertainty Aware Tropical Cyclone Wind Speed Estimation from Satellite Data Nils Lehmann N. Gottschling Stefan Depeweg Eric T. Nalisnick 27 1 0 12 Apr 2024
On the Importance of Uncertainty in Decision-Making with Large Language Models Nicolò Felicioni Lucas Maystre Sina Ghiassian K. Ciosek LLMAG 26 2 0 03 Apr 2024
Active Exploration in Bayesian Model-based Reinforcement Learning for Robot Manipulation Carlos Plou Ana C. Murillo Ruben Martinez-Cantin OffRL 14 0 0 02 Apr 2024
EventSleep: Sleep Activity Recognition with Event Cameras Carlos Plou Nerea Gallego Alberto Sabater Eduardo Montijano Pablo Urcola Luis Montesano Ruben Martinez-Cantin Ana C. Murillo 29 1 0 02 Apr 2024
Posterior Uncertainty Quantification in Neural Networks using Data Augmentation Luhuan Wu Sinead Williamson UQCV 19 6 0 18 Mar 2024
Function-space Parameterization of Neural Networks for Sequential Learning Aidan Scannell Riccardo Mereu Paul E. Chang Ella Tamir J. Pajarinen Arno Solin BDL 23 5 0 16 Mar 2024
A Framework for Strategic Discovery of Credible Neural Network Surrogate Models under Uncertainty Pratyush Kumar Singh Kathryn A. Farrell-Maupin D. Faghihi 19 6 0 13 Mar 2024
A prediction rigidity formalism for low-cost uncertainties in trained neural networks Filippo Bigi Sanggyu Chong Michele Ceriotti Federico Grasselli 25 5 0 04 Mar 2024
Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for Specialized Tasks Bálint Mucsányi Michael Kirchhof Seong Joon Oh UQCV BDL OODD 413 20 1 29 Feb 2024
Variational Learning is Effective for Large Deep Networks Yuesong Shen Nico Daheim Bai Cong Peter Nickl Gian Maria Marconi ... Rio Yokota Iryna Gurevych Daniel Cremers Mohammad Emtiyaz Khan Thomas Möllenhoff 30 21 0 27 Feb 2024
Bayesian Neural Network For Personalized Federated Learning Parameter Selection Mengen Luo E. Kuruoglu FedML 19 0 0 25 Feb 2024
Trustworthy Personalized Bayesian Federated Learning via Posterior Fine-Tune Mengen Luo Chi Xu E. Kuruoglu FedML 16 0 0 25 Feb 2024
Shaving Weights with Occam's Razor: Bayesian Sparsification for Neural Networks Using the Marginal Likelihood Rayen Dhahri Alexander Immer Bertrand Charpentier Stephan Günnemann Vincent Fortuin BDL UQCV 22 4 0 25 Feb 2024
Bayesian Neural Networks with Domain Knowledge Priors Dylan Sam Rattana Pukdee Daniel P. Jeong Yewon Byun J. Zico Kolter BDL UQCV 30 9 0 20 Feb 2024
Bayesian Reward Models for LLM Alignment Adam X. Yang Maxime Robeyns Thomas Coste Zhengyan Shi Jun Wang Haitham Bou-Ammar Laurence Aitchison 32 17 0 20 Feb 2024
BEARS Make Neuro-Symbolic Models Aware of their Reasoning Shortcuts Emanuele Marconato Samuele Bortolotti Emile van Krieken Antonio Vergari Andrea Passerini Stefano Teso 33 17 0 19 Feb 2024
Active Few-Shot Fine-Tuning Jonas Hübotter Bhavya Sukhija Lenart Treven Yarden As Andreas Krause 28 1 0 13 Feb 2024
A Sober Look at LLMs for Material Discovery: Are They Actually Good for Bayesian Optimization Over Molecules? Agustinus Kristiadi Felix Strieth-Kalthoff Marta Skreta Pascal Poupart Alán Aspuru-Guzik Geoff Pleiss 15 19 0 07 Feb 2024
Bayesian Uncertainty for Gradient Aggregation in Multi-Task Learning Idan Achituve I. Diamant Arnon Netzer Gal Chechik Ethan Fetaya UQCV 22 3 0 06 Feb 2024
Partially Stochastic Infinitely Deep Bayesian Neural Networks Sergio Calvo-Ordoñez Matthieu Meunier Francesco Piatti Yuantao Shi BDL 35 3 0 05 Feb 2024
Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI Theodore Papamarkou Maria Skoularidou Konstantina Palla Laurence Aitchison Julyan Arbel ... David Rügamer Yee Whye Teh Max Welling Andrew Gordon Wilson Ruqi Zhang UQCV BDL 35 27 0 01 Feb 2024
Bayesian Semi-structured Subspace Inference Daniel Dold David Rügamer Beate Sick Oliver Durr BDL 8 1 0 23 Jan 2024
Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models Gianni Franchi Olivier Laurent Maxence Leguéry Andrei Bursuc Andrea Pilzer Angela Yao UQCV BDL 15 3 0 23 Dec 2023
Do Bayesian Neural Networks Improve Weapon System Predictive Maintenance? Michael L. Potter Miru D. Jun 10 0 0 16 Dec 2023
Structured Inverse-Free Natural Gradient: Memory-Efficient & Numerically-Stable KFAC Wu Lin Felix Dangel Runa Eschenhagen Kirill Neklyudov Agustinus Kristiadi Richard E. Turner Alireza Makhzani 6 3 0 09 Dec 2023
Perspectives on the State and Future of Deep Learning - 2023 Micah Goldblum A. Anandkumar Richard Baraniuk Tom Goldstein Kyunghyun Cho Zachary Chase Lipton Melanie Mitchell Preetum Nakkiran Max Welling Andrew Gordon Wilson 48 4 0 07 Dec 2023
Transferable Candidate Proposal with Bounded Uncertainty Kyeongryeol Go Kye-Hyeon Kim 8 0 0 07 Dec 2023
Bootstrap Your Own Variance Polina Turishcheva Jason Ramapuram Sinead Williamson Dan Busbridge Eeshan Gunesh Dhekane Russ Webb UQCV 13 0 0 06 Dec 2023
Uncertainty in Graph Contrastive Learning with Bayesian Neural Networks Alexander M¨ollers Alexander Immer Elvin Isufi Vincent Fortuin SSL BDL UQCV 16 1 0 30 Nov 2023
FisherRF: Active View Selection and Uncertainty Quantification for Radiance Fields using Fisher Information Wen Jiang Boshu Lei Kostas Daniilidis 3DGS 21 31 0 29 Nov 2023
On the Out-of-Distribution Coverage of Combining Split Conformal Prediction and Bayesian Deep Learning Paul Scemama Ariel Kapusta 15 0 0 21 Nov 2023
On the Out of Distribution Robustness of Foundation Models in Medical Image Segmentation D. M. Nguyen Tan Ngoc Pham N. T. Diep Nghi Quoc Phan Quang-Cuong Pham ... Ngan Hoang Le Nhat Ho Pengtao Xie Daniel Sonntag Mathias Niepert VLM UQCV OOD 11 5 0 18 Nov 2023
Kronecker-Factored Approximate Curvature for Modern Neural Network Architectures Runa Eschenhagen Alexander Immer Richard E. Turner Frank Schneider Philipp Hennig 40 21 0 01 Nov 2023
The Memory Perturbation Equation: Understanding Model's Sensitivity to Data Peter Nickl Lu Xu Dharmesh Tailor Thomas Möllenhoff Mohammad Emtiyaz Khan 11 10 0 30 Oct 2023
Bayesian Domain Invariant Learning via Posterior Generalization of Parameter Distributions Shiyu Shen Bin Pan Tianyang Shi Tao Li Zhenwei Shi BDL OOD 10 1 0 25 Oct 2023