Pyro: Deep Universal Probabilistic Programming

18 October 2018

Papers citing "Pyro: Deep Universal Probabilistic Programming"

50 / 436 papers shown

Title
Estimation of Counterfactual Interventions under Uncertainties Juliane Weilbach S. Gerwinn M. Kandemir Martin Fraenzle 37 0 0 15 Sep 2023
CaloClouds II: Ultra-Fast Geometry-Independent Highly-Granular Calorimeter Simulation E. Buhmann F. Gaede Gregor Kasieczka A. Korol W. Korcari K. Krüger Peter McKeown DiffM 32 24 0 11 Sep 2023
Generalized Variable Selection Algorithms for Gaussian Process Models by LASSO-like Penalty Zhiyong Hu D. Dey 23 3 0 08 Sep 2023
Probabilistic load forecasting with Reservoir Computing Michele Guerra Simone Scardapane F. Bianchi BDL 21 3 0 24 Aug 2023
Robust Bayesian Tensor Factorization with Zero-Inflated Poisson Model and Consensus Aggregation Daniel Chafamo Vignesh Shanmugam Neriman Tokcan 14 1 0 15 Aug 2023
Capsa: A Unified Framework for Quantifying Risk in Deep Neural Networks Sadhana Lolla I. Elistratov Alejandro Perez Elaheh Ahmadi Daniela Rus Alexander Amini UQCV 22 0 0 01 Aug 2023
Rapid and Scalable Bayesian AB Testing S. Chennu Andrew Maher C. Pangerl Subash Prabanantham Jae Hyeon Bae Jamie Martin Bud Goswami 35 0 0 27 Jul 2023
Scaling Integer Arithmetic in Probabilistic Programs William X. Cao Poorva Garg Ryan Tjoa Steven Holtzen T. Millstein Mathias Niepert TPM 19 6 0 25 Jul 2023
A Novel Application of Conditional Normalizing Flows: Stellar Age Inference with Gyrochronology P. Van-Lane J. Speagle S. Douglas 21 1 0 17 Jul 2023
Learning for Counterfactual Fairness from Observational Data Jing Ma Ruocheng Guo Aidong Zhang Jundong Li FaML 16 11 0 17 Jul 2023
Variational Inference with Gaussian Score Matching Chirag Modi C. Margossian Yuling Yao Robert Mansel Gower David M. Blei Lawrence K. Saul 16 12 0 15 Jul 2023
LINFA: a Python library for variational inference with normalizing flow and annealing Yu Wang Emma R. Cobian Jubilee Lee Fang Liu J. Hauenstein Daniele E. Schiavazzi BDL AI4CE 26 0 0 10 Jul 2023
A probabilistic, data-driven closure model for RANS simulations with aleatoric, model uncertainty A. Agrawal P. Koutsourelakis AI4CE 24 15 0 05 Jul 2023
High Fidelity Image Counterfactuals with Probabilistic Causal Models Fabio De Sousa Ribeiro Tian Xia M. Monteiro Nick Pawlowski Ben Glocker DiffM 35 36 0 27 Jun 2023
A Heavy-Tailed Algebra for Probabilistic Programming Feynman T. Liang Liam Hodgkinson Michael W. Mahoney 20 3 0 15 Jun 2023
Scalable Neural-Probabilistic Answer Set Programming Arseny Skryagin Daniel Ochs Devendra Singh Dhami Kristian Kersting 35 5 0 14 Jun 2023
Finite Gaussian Neurons: Defending against adversarial attacks by making neural networks say "I don't know" Félix Grèzes AAML 14 0 0 13 Jun 2023
Push: Concurrent Probabilistic Programming for Bayesian Deep Learning Daniel Huang Christian Camaño Jonathan Tsegaye Jonathan Austin Gale AI4CE 35 0 0 10 Jun 2023
Automating Model Comparison in Factor Graphs Bart Van Erp Wouter W. L. Nuijten T. V. D. Laar Bert De Vries 16 1 0 09 Jun 2023
Adaptive Batch Sizes for Active Learning A Probabilistic Numerics Approach Masaki Adachi Satoshi Hayakawa Martin Jørgensen Xingchen Wan Vu Nguyen Harald Oberhauser Michael A. Osborne 28 5 0 09 Jun 2023
Bayesian Calibration of MEMS Accelerometers Oliver Durr Po-Yu Fan Zong-Xian Yin 19 11 0 09 Jun 2023
Correction of Errors in Preference Ratings from Automated Metrics for Text Generation Jan Deriu Pius von Daniken Don Tuggener Mark Cieliebak 29 2 0 06 Jun 2023
Structured Voronoi Sampling Afra Amini Li Du Ryan Cotterell DiffM 27 1 0 05 Jun 2023
An information field theory approach to Bayesian state and parameter estimation in dynamical systems Kairui Hao Ilias Bilionis 14 4 0 03 Jun 2023
Learning to solve Bayesian inverse problems: An amortized variational inference approach using Gaussian and Flow guides Sharmila Karumuri Ilias Bilionis 33 2 0 31 May 2023
Deep learning and MCMC with aggVAE for shifting administrative boundaries: mapping malaria prevalence in Kenya Elizaveta Semenova Swapnil Mishra Samir Bhatt Seth Flaxman H Juliette T Unwin 20 1 0 31 May 2023
Empirical Sufficiency Lower Bounds for Language Modeling with Locally-Bootstrapped Semantic Structures Jakob Prange Emmanuele Chersoni 32 0 0 30 May 2023
Statistically Efficient Bayesian Sequential Experiment Design via Reinforcement Learning with Cross-Entropy Estimators Tom Blau Iadine Chadès Amir Dezfouli Daniel M. Steinberg Edwin V. Bonilla 18 1 0 29 May 2023
Exact Bayesian Inference on Discrete Models via Probability Generating Functions: A Probabilistic Programming Approach Fabian Zaiser A. Murawski Luke Ong TPM 15 6 0 26 May 2023
On the Convergence of Black-Box Variational Inference Kyurae Kim Jisu Oh Kaiwen Wu Yi Ma Jacob R. Gardner BDL 42 15 0 24 May 2023
Adversarial robustness of amortized Bayesian inference Manuel Glöckler Michael Deistler Jakob H. Macke AAML 27 13 0 24 May 2023
A Rational Model of Dimension-reduced Human Categorization Yifan Hong Chen Wang 6 0 0 22 May 2023
CaloClouds: Fast Geometry-Independent Highly-Granular Calorimeter Simulation E. Buhmann S. Diefenbacher E. Eren F. Gaede Gregor Kasieczka A. Korol W. Korcari K. Krüger Peter McKeown DiffM 23 45 0 08 May 2023
Ensuring Reliable Robot Task Performance through Probabilistic Rare-Event Verification and Synthesis Guy Scher Sadra Sadraddini Ariel Yadin H. Kress-Gazit 27 1 0 28 Apr 2023
Self-Correcting Bayesian Optimization through Bayesian Active Learning Carl Hvarfner E. Hellsten Frank Hutter Luigi Nardi GP 43 15 0 21 Apr 2023
A tutorial on the Bayesian statistical approach to inverse problems Faaiq G. Waqar Swati Patel Cory M. Simon 16 5 0 15 Apr 2023
CAR-DESPOT: Causally-Informed Online POMDP Planning for Robots in Confounded Environments Ricardo Cannizzaro Lars Kunze 27 10 0 13 Apr 2023
Bayesian Inference for Jump-Diffusion Approximations of Biochemical Reaction Networks Derya Altıntan Bastian Alt Heinz Koeppl 22 0 0 13 Apr 2023
Meta-Learned Models of Cognition Marcel Binz Ishita Dasgupta Akshay K. Jagadish M. Botvinick Jane X. Wang Eric Schulz 30 25 0 12 Apr 2023
Scallop: A Language for Neurosymbolic Programming Ziyang Li Jiani Huang Mayur Naik ReLM LRM NAI 24 30 0 10 Apr 2023
PriorCVAE: scalable MCMC parameter inference with Bayesian deep generative modelling Elizaveta Semenova Prakhar Verma Max Cairney-Leeming Arno Solin Samir Bhatt Seth Flaxman BDL 24 3 0 09 Apr 2023
A Practitioner's Guide to Bayesian Inference in Pharmacometrics using Pumas Mohamed Tarek J. Storópoli Casey B. Davis C. Elrod Julius Krumbiegel Chris Rackauckas V. Ivaturi GP 20 3 0 31 Mar 2023
Achieving Counterfactual Fairness with Imperfect Structural Causal Model Tri Dung Duong Qian Li Guandong Xu 24 2 0 26 Mar 2023
Practical and Matching Gradient Variance Bounds for Black-Box Variational Bayesian Inference Kyurae Kim Kaiwen Wu Jisu Oh Jacob R. Gardner BDL 26 7 0 18 Mar 2023
Neural Probabilistic Logic Programming in Discrete-Continuous Domains Lennert De Smet Pedro Zuidberg Dos Martires Robin Manhaeve G. Marra Angelika Kimmig Luc de Raedt NAI 19 20 0 08 Mar 2023
Computing with Categories in Machine Learning Eli Sennesh T. Xu Yoshihiro Maruyama 28 2 0 07 Mar 2023
CO-BED: Information-Theoretic Contextual Optimization via Bayesian Experimental Design Desi R. Ivanova Joel Jennings Tom Rainforth Cheng Zhang Adam Foster 34 3 0 27 Feb 2023
U-Statistics for Importance-Weighted Variational Inference Javier Burroni Kenta Takatsu Justin Domke Daniel Sheldon 18 1 0 27 Feb 2023
Declarative Probabilistic Logic Programming in Discrete-Continuous Domains Pedro Zuidberg Dos Martires Luc de Raedt Angelika Kimmig 29 4 0 21 Feb 2023
Adaptive Sparse Gaussian Process Vanessa Gómez-Verdejo Emilio Parrado-Hernández M. Martínez‐Ramón 6 6 0 20 Feb 2023