Laplace Redux -- Effortless Bayesian Deep Learning

28 June 2021

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

50 / 211 papers shown

Title
Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection SungHeon Jeong Jihong Park Mohsen Imani 45 0 0 05 May 2025
Comparing Uncertainty Measurement and Mitigation Methods for Large Language Models: A Systematic Review Toghrul Abbasli Kentaroh Toyoda Yuan Wang Leon Witt Muhammad Asif Ali Yukai Miao Dan Li Qingsong Wei UQCV 85 0 0 25 Apr 2025
Confidence Sequences for Generalized Linear Models via Regret Analysis Eugenio Clerico Hamish Flynn W. Kotłowski Gergely Neu 22 0 0 23 Apr 2025
Are you SURE? Enhancing Multimodal Pretraining with Missing Modalities through Uncertainty Estimation Duy Nguyen Quan Huu Do Khoa D. Doan Minh N. Do 27 0 0 18 Apr 2025
Uncertainty-Aware Trajectory Prediction via Rule-Regularized Heteroscedastic Deep Classification Kumar Manas Christian Schlauch Adrian Paschke Christian Wirth Nadja Klein 35 0 0 17 Apr 2025
GOLLuM: Gaussian Process Optimized LLMs -- Reframing LLM Finetuning through Bayesian Optimization Bojana Ranković P. Schwaller BDL 86 0 0 08 Apr 2025
UAC: Uncertainty-Aware Calibration of Neural Networks for Gesture Detection Farida Al Haddad Yuxin Wang Malcolm Mielle 24 0 0 02 Apr 2025
Staying Alive: Online Neural Network Maintenance and Systemic Drift Joshua Edward Hammond Tyler Soderstrom Brian A. Korgel Michael Baldea 38 0 0 22 Mar 2025
Temporal Score Analysis for Understanding and Correcting Diffusion Artifacts Yu Cao Zengqun Zhao Ioannis Patras Shaogang Gong DiffM 48 0 0 20 Mar 2025
FedBEns: One-Shot Federated Learning based on Bayesian Ensemble Jacopo Talpini Marco Savi Giovanni Neglia FedML Presented at ResearchTrend Connect \| FedML on 07 May 2025 71 0 0 19 Mar 2025
On Local Posterior Structure in Deep Ensembles Mikkel Jordahn Jonas Vestergaard Jensen Mikkel N. Schmidt Michael Riis Andersen UQCV BDL OOD 51 0 0 17 Mar 2025
L-FUSION: Laplacian Fetal Ultrasound Segmentation & Uncertainty Estimation J. Müller Robert Wright Thomas Day Lorenzo Venturini Samuel Budd Hadrien Reynaud J. Hajnal Reza Razavi B. Kainz MedIm 59 0 0 13 Mar 2025
POp-GS: Next Best View in 3D-Gaussian Splatting with P-Optimality Joey Wilson Marcelino Almeida Sachit Mahajan Martin Labrie Maani Ghaffari Omid Ghasemalizadeh Min Sun Cheng-Hao Kuo Arnab Sen 3DGS 53 0 0 10 Mar 2025
Uncertainty-Aware Decoding with Minimum Bayes Risk Nico Daheim Clara Meister Thomas Möllenhoff Iryna Gurevych 53 0 0 07 Mar 2025
Conceptualizing Uncertainty Isaac Roberts Alexander Schulz Sarah Schroeder Fabian Hinder Barbara Hammer UD 69 0 0 05 Mar 2025
Paths and Ambient Spaces in Neural Loss Landscapes Daniel Dold Julius Kobialka Nicolai Palm Emanuel Sommer David Rügamer Oliver Durr AI4CE 56 0 0 05 Mar 2025
Discrete Codebook World Models for Continuous Control Aidan Scannell Mohammadreza Nakhaei Kalle Kujanpää Yi Zhao Kevin Sebastian Luck Arno Solin J. Pajarinen OffRL 47 0 0 01 Mar 2025
A Guide to Failure in Machine Learning: Reliability and Robustness from Foundations to Practice Eric Heim Oren Wright David Shriver OOD FaML 63 0 0 01 Mar 2025
Generative Uncertainty in Diffusion Models Metod Jazbec Eliot Wong-Toi Guoxuan Xia Dan Zhang Eric T. Nalisnick Stephan Mandt DiffM 43 0 0 28 Feb 2025
Logit Disagreement: OoD Detection with Bayesian Neural Networks Kevin Raina UQCV BDL UD PER 59 0 0 24 Feb 2025
Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis Sanket R. Jantre Tianle Wang Gilchan Park Kriti Chopra Nicholas Jeon Xiaoning Qian Nathan M. Urban Byung-Jun Yoon 57 0 0 10 Feb 2025
Optimal Subspace Inference for the Laplace Approximation of Bayesian Neural Networks Josua Faller Jörg Martin BDL 73 0 0 04 Feb 2025
Position: Curvature Matrices Should Be Democratized via Linear Operators Felix Dangel Runa Eschenhagen Weronika Ormaniec Andres Fernandez Lukas Tatzel Agustinus Kristiadi 48 3 0 31 Jan 2025
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models Yibin Wang H. Shi Ligong Han Dimitris N. Metaxas Hao Wang BDL UQLM 102 6 0 28 Jan 2025
Commute Your Domains: Trajectory Optimality Criterion for Multi-Domain Learning Alexey Rukhovich Alexander Podolskiy Irina Piontkovskaya 43 0 0 28 Jan 2025
Towards Robust Unsupervised Attention Prediction in Autonomous Driving Mengshi Qi Xiaoyang Bi Pengfei Zhu Huadong Ma 50 0 0 25 Jan 2025
Beyond Uncertainty: Risk-Aware Active View Acquisition for Safe Robot Navigation and 3D Scene Understanding with FisherRF Guangyi Liu Wen Jiang Boshu Lei Vivek Pandey Kostas Daniilidis N. Motee 44 8 0 20 Jan 2025
DistPred: A Distribution-Free Probabilistic Inference Method for Regression and Forecasting Daojun Liang Haixia Zhang Dongfeng Yuan UQCV 65 0 0 08 Jan 2025
Diffusion Model Guided Sampling with Pixel-Wise Aleatoric Uncertainty Estimation Michele De Vita Vasileios Belagiannis DiffM 76 1 0 29 Nov 2024
Streamlining Prediction in Bayesian Deep Learning Rui Li Marcus Klasson Arno Solin Martin Trapp UQCV BDL 91 1 0 27 Nov 2024
Robust and Efficient Fine-tuning of LLMs with Bayesian Reparameterization of Low-Rank Adaptation Ayan Sengupta Vaibhav Seth Arinjay Pathak Natraj Raman Sriram Gopalakrishnan Tanmoy Chakraborty BDL 21 2 0 07 Nov 2024
Stein Variational Newton Neural Network Ensembles Klemens Flöge Mohammed Abdul Moeed Vincent Fortuin BDL UQCV 30 0 0 04 Nov 2024
Bayes without Underfitting: Fully Correlated Deep Learning Posteriors via Alternating Projections M. Miani Hrittik Roy Søren Hauberg UQCV BDL 24 0 0 22 Oct 2024
Personalizing Low-Rank Bayesian Neural Networks Via Federated Learning Boning Zhang Dongzhu Liu Osvaldo Simeone Guanchu Wang Dimitrios Pezaros Guangxu Zhu BDL FedML 26 0 0 18 Oct 2024
Debiasing Mini-Batch Quadratics for Applications in Deep Learning Lukas Tatzel Bálint Mucsányi Osane Hackel Philipp Hennig 43 0 0 18 Oct 2024
Probabilistic Degeneracy Detection for Point-to-Plane Error Minimization Johan Hatleskog Kostas Alexis 3DPC 30 0 0 14 Oct 2024
Conformalized Reachable Sets for Obstacle Avoidance With Spheres Yongseok Kwon Jonathan Michaux Seth Isaacson Bohao Zhang Matthew Ejakov Katherine A. Skinner Ram Vasudevan 34 2 0 13 Oct 2024
Efficient Weight-Space Laplace-Gaussian Filtering and Smoothing for Sequential Deep Learning Joanna Sliwa Frank Schneider Nathanael Bosch Agustinus Kristiadi Philipp Hennig BDL CLL 29 2 0 09 Oct 2024
Next Best Sense: Guiding Vision and Touch with FisherRF for 3D Gaussian Splatting Matthew Strong Boshu Lei Aiden Swann Wen Jiang Kostas Daniilidis Monroe Kennedy III 3DGS 40 3 0 07 Oct 2024
Lightning UQ Box: A Comprehensive Framework for Uncertainty Quantification in Deep Learning Nils Lehmann Jakob Gawlikowski Adam J. Stewart Vytautas Jancauskas Stefan Depeweg Eric T. Nalisnick N. Gottschling 35 0 0 04 Oct 2024
HGS-Planner: Hierarchical Planning Framework for Active Scene Reconstruction Using 3D Gaussian Splatting Zijun Xu Rui Jin Ke Wu Yi Zhao Zhiwei Zhang Jieru Zhao Fei Gao Zhongxue Gan Wenchao Ding 37 3 0 26 Sep 2024
Manifold Sampling for Differentiable Uncertainty in Radiance Fields Linjie Lyu Ayush Tewari Marc Habermann Shunsuke Saito Michael Zollhöfer Thomas Leimkühler Christian Theobalt UQCV 31 1 0 19 Sep 2024
Realistic Extreme Behavior Generation for Improved AV Testing Robert Dyro Matthew Foutter Ruolin Li L. D. Lillo Edward Schmerling Xilin Zhou Marco Pavone AAML 23 1 0 16 Sep 2024
Sources of Uncertainty in 3D Scene Reconstruction Marcus Klasson Riccardo Mereu Juho Kannala Arno Solin 3DV 3DGS 31 3 0 10 Sep 2024
Epistemic Uncertainty and Observation Noise with the Neural Tangent Kernel Sergio Calvo-Ordoñez Konstantina Palla Kamil Ciosek 23 1 0 06 Sep 2024
Gradient-free variational learning with conditional mixture networks Conor Heins Hao Wu Dimitrije Marković Alexander Tschantz Jeff Beck Christopher L. Buckley BDL 17 2 0 29 Aug 2024
Flexible Bayesian Last Layer Models Using Implicit Priors and Diffusion Posterior Sampling Jian Xu Zhiqi Lin Shigui Li Min Chen Junmei Yang Delu Zeng John Paisley BDL 18 0 0 07 Aug 2024
High Frequency Matters: Uncertainty Guided Image Compression with Wavelet Diffusion Juan Song Jiaxiang He Mingtao Feng Keyan Wang Yunsong Li DiffM 41 4 0 17 Jul 2024
DADEE: Well-calibrated uncertainty quantification in neural networks for barriers-based robot safety Masoud Ataei Vikas Dhiman 18 0 0 30 Jun 2024
Flat Posterior Does Matter For Bayesian Model Averaging Sungjun Lim Jeyoon Yeom Sooyon Kim Hoyoon Byun Jinho Kang Yohan Jung Jiyoung Jung Kyungwoo Song AAML BDL 35 0 0 21 Jun 2024