Pyro: Deep Universal Probabilistic Programming

18 October 2018

Papers citing "Pyro: Deep Universal Probabilistic Programming"

50 / 436 papers shown

Title
Scalable Bayesian Learning with posteriors Samuel Duffield Kaelan Donatella Johnathan Chiu Phoebe Klett Daniel Simpson BDL UQCV 62 1 0 31 May 2024
Understanding and mitigating difficulties in posterior predictive evaluation Abhinav Agrawal Justin Domke UQCV 45 0 0 30 May 2024
Gaussian Embedding of Temporal Networks Raphaël Romero Jefrey Lijffijt Riccardo Rastelli Marco Corneli Tijl De Bie 39 1 0 27 May 2024
Federated Learning for Non-factorizable Models using Deep Generative Prior Approximations Conor Hassan Joshua J Bon Elizaveta Semenova Antonietta Mira Kerrie Mengersen 26 0 0 25 May 2024
Dissecting the Interplay of Attention Paths in a Statistical Mechanics Theory of Transformers Lorenzo Tiberi Francesca Mignacco Kazuki Irie H. Sompolinsky 44 6 0 24 May 2024
Probabilistic transfer learning methodology to expedite high fidelity simulation of reactive flows Bruno S. Soriano Kisung Jung T. Echekki Jacqueline H. Chen Mohammad Khalil AI4CE 24 1 0 17 May 2024
Towards Guaranteed Safe AI: A Framework for Ensuring Robust and Reliable AI Systems David Dalrymple Joar Skalse Yoshua Bengio Stuart J. Russell Max Tegmark ... Clark Barrett Ding Zhao Zhi-Xuan Tan Jeannette Wing Joshua Tenenbaum 52 52 0 10 May 2024
In-and-Out: Algorithmic Diffusion for Sampling Convex Bodies Yunbum Kook Santosh Vempala Matthew Shunshi Zhang 27 7 0 02 May 2024
ULLER: A Unified Language for Learning and Reasoning Emile van Krieken Samy Badreddine Robin Manhaeve Eleonora Giunchiglia NAI 32 3 0 01 May 2024
BayesBlend: Easy Model Blending using Pseudo-Bayesian Model Averaging, Stacking and Hierarchical Stacking in Python Nathaniel Haines Conor Goold MoMe 15 1 0 30 Apr 2024
Learning Car-Following Behaviors Using Bayesian Matrix Normal Mixture Regression Chengyuan Zhang Kehua Chen Meixin Zhu Hai Yang Lijun Sun 33 1 0 24 Apr 2024
Preconditioned Neural Posterior Estimation for Likelihood-free Inference Xiaoyu Wang Ryan P. Kelly D. Warne Christopher C. Drovandi 37 4 0 21 Apr 2024
Diffusion posterior sampling for simulation-based inference in tall data settings J. Linhart Gabriel Victorino Cardoso Alexandre Gramfort Sylvain Le Corff Pedro L. C. Rodrigues DiffM 53 3 0 11 Apr 2024
Efficient Sound Field Reconstruction with Conditional Invertible Neural Networks X. Karakonstantis Efren Fernandez-Grande Peter Gerstoft 24 0 0 10 Apr 2024
Bayesian Inference for Consistent Predictions in Overparameterized Nonlinear Regression Tomoya Wakayama BDL 57 0 0 06 Apr 2024
Adaptive Splitting of Reusable Temporal Monitors for Rare Traffic Violations Craig Innes S. Ramamoorthy 35 0 0 13 Mar 2024
Automated Efficient Estimation using Monte Carlo Efficient Influence Functions Raj Agrawal Sam Witty Andy Zane Eli Bingham 32 2 0 29 Feb 2024
Real-Time Adaptive Safety-Critical Control with Gaussian Processes in High-Order Uncertain Models Yu Zhang Long Wen Xiangtong Yao Zhenshan Bing Linghuan Kong Wei He Alois Knoll 45 1 0 29 Feb 2024
Re-Envisioning Numerical Information Field Theory (NIFTy.re): A Library for Gaussian Processes and Variational Inference G. Edenhofer Philipp Frank Jakob Roth R. Leike Massin Guerdi L. Scheel-Platz M. Guardiani Vincent Eberle M. Westerkamp T. Ensslin 30 9 0 26 Feb 2024
Batch and match: black-box variational inference with a score-based divergence Diana Cai Chirag Modi Loucas Pillaud-Vivien C. Margossian Robert Mansel Gower David M. Blei Lawrence K. Saul 38 9 0 22 Feb 2024
Diagonalisation SGD: Fast & Convergent SGD for Non-Differentiable Models via Reparameterisation and Smoothing Dominik Wagner Basim Khajwal C.-H. Luke Ong 21 0 0 19 Feb 2024
BlackJAX: Composable Bayesian inference in JAX Alberto Cabezas Adrien Corenflos Junpeng Lao Rémi Louf Antoine Carnec ... Kevin P. Murphy Juan Camilo Orduz Karm Patel Xi Wang Robert Zinkov DRL MLAU 41 18 0 16 Feb 2024
Improvement and generalization of ABCD method with Bayesian inference Ezequiel Alvarez L. Rold Manuel Szewc A. Szynkman Santiago A. Tanco Tatiana Tarutina 14 3 0 12 Feb 2024
YAMLE: Yet Another Machine Learning Environment Martin Ferianc Miguel R. D. Rodrigues VLM 13 3 0 09 Feb 2024
Vanilla Bayesian Optimization Performs Great in High Dimensions Carl Hvarfner E. Hellsten Luigi Nardi 32 17 0 03 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 40 27 0 01 Feb 2024
Do Bayesian Neural Networks Improve Weapon System Predictive Maintenance? Michael L. Potter Miru D. Jun 17 0 0 16 Dec 2023
Automatic Rao-Blackwellization for Sequential Monte Carlo with Belief Propagation Waïss Azizian Guillaume Baudart Marc Lelarge 14 3 0 15 Dec 2023
Estimation of Concept Explanations Should be Uncertainty Aware Vihari Piratla Juyeon Heo Katherine M. Collins Sukriti Singh Adrian Weller 26 1 0 13 Dec 2023
VAE-IF: Deep feature extraction with averaging for unsupervised artifact detection in routine acquired ICU time-series Hollan Haule Ian Piper Patricia Jones Chen Qin T. M. Lo Javier Escudero 13 0 0 10 Dec 2023
Disentangled Latent Representation Learning for Tackling the Confounding M-Bias Problem in Causal Inference Debo Cheng Yang Xie Ziqi Xu Jiuyong Li Lin Liu Jixue Liu Yinghao Zhang Zaiwen Feng CML BDL 20 1 0 08 Dec 2023
A Bayesian neural network approach to Multi-fidelity surrogate modelling Baptiste Kerleguer C. Cannamela Josselin Garnier UQCV 6 5 0 05 Dec 2023
Attacking Motion Planners Using Adversarial Perception Errors Jonathan Sadeghi Nicholas A. Lord John Redford Romain Mueller AAML 34 2 0 21 Nov 2023
Variational Elliptical Processes Maria B˙ankestad Jens Sjölund Jalil Taghia Thomas B. Schon 20 2 0 21 Nov 2023
SpACNN-LDVAE: Spatial Attention Convolutional Latent Dirichlet Variational Autoencoder for Hyperspectral Pixel Unmixing S. Chitnis Kiran Mantripragada Faisal Z. Qureshi 19 0 0 17 Nov 2023
Zenkai -- Framework For Exploring Beyond Backpropagation Greg Short 18 0 0 16 Nov 2023
Variational Temporal IRT: Fast, Accurate, and Explainable Inference of Dynamic Learner Proficiency Yunsung Kim Sreechan Sankaranarayanan Chris Piech Candace Thille VLM 47 2 0 14 Nov 2023
BClean: A Bayesian Data Cleaning System Jianbin Qin Sifan Huang Yaoshu Wang Jing Zhu Yifan Zhang Yukai Miao Rui Mao Makoto Onizuka Chuan Xiao 13 4 0 11 Nov 2023
Learning material synthesis-process-structure-property relationship by data fusion: Bayesian Coregionalization N-Dimensional Piecewise Function Learning A. Kusne A. McDannald Brian L. DeCost 13 2 0 10 Nov 2023
Uncertainty Quantification in Multivariable Regression for Material Property Prediction with Bayesian Neural Networks Longze Li Jiang Chang Aleksandar Vakanski Yachun Wang Tiankai Yao Min Xian AI4CE 11 17 0 04 Nov 2023
Rethinking Variational Inference for Probabilistic Programs with Stochastic Support Tim Reichelt C. Ong Tom Rainforth 22 2 0 01 Nov 2023
Beyond Bayesian Model Averaging over Paths in Probabilistic Programs with Stochastic Support Tim Reichelt C.-H. Luke Ong Tom Rainforth 30 0 0 23 Oct 2023
Posterior Sampling-based Online Learning for Episodic POMDPs Dengwang Tang Dongze Ye Rahul Jain A. Nayyar Pierluigi Nuzzo OffRL 51 0 0 16 Oct 2023
Worst-Case Analysis is Maximum-A-Posteriori Estimation Hongjun Wu Di Wang 27 0 0 15 Oct 2023
Surrogate modeling for stochastic crack growth processes in structural health monitoring applications Nicholas E. Silionis K. Anyfantis AI4CE 21 0 0 11 Oct 2023
Implicit Variational Inference for High-Dimensional Posteriors Anshuk Uppal Kristoffer Stensbo-Smidt Wouter Boomsma J. Frellsen BDL 26 1 0 10 Oct 2023
Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder Ziqi Xu Debo Cheng Jiuyong Li Jixue Liu Lin Liu Kui Yu CML 39 9 0 03 Oct 2023
A Primer on Bayesian Neural Networks: Review and Debates Federico Danieli Konstantinos Pitas M. Vladimirova Vincent Fortuin BDL AAML 56 18 0 28 Sep 2023
Reparameterized Variational Rejection Sampling M. Jankowiak Du Phan DRL BDL 24 1 0 26 Sep 2023
Bayesian sparsification for deep neural networks with Bayesian model reduction Dimitrije Marković K. Friston S. Kiebel BDL UQCV 38 1 0 21 Sep 2023