Vikash K. Mansinghka
14 papers · 1999–2023 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+9 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (28) π Academic Marathon Β· Ultra π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π§
Keyword Pioneer
π
Keyword Trendsetter Combo
(4)
π
Keyword Champion
π
Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
π
Renaissance Researcher
(5)
π
Conference Pioneer
ποΈ
Keyword Collector
(73)
π
Trend Setter
Top co-authors
Research topics
Machine Learning
(11)
Optimization & Theory
(9)
Artificial Intelligence
(8)
Bayesian & Probabilistic Β· Artificial Intelligence
(7)
Bayesian & Probabilistic Β· Machine Learning
(5)
Computer Vision
(4)
Analysis
(4)
Deep Learning
(3)
Mathematics & Optimization
(3)
Core AI
(3)
Models
(3)
Core Methods
(2)
Learning Types
(2)
Mathematics
(2)
Computer Science
(1)
Keywords
markov chain monte carlo
(4)
probabilistic programming
(4)
bayesian inference
(3)
generative model
(3)
variational inference
(3)
uncertainty quantification
(2)
relational data
(2)
auxiliary variable
(2)
sequential monte carlo
(2)
monte carlo method
(2)
posterior inference
(2)
kl divergence
(1)
bounded rationality
(1)
probabilistic inference
(1)
computer vision
(1)
approximate inference
(1)
structure learning
(1)
image interpretation
(1)
relational learning
(1)
pose estimation
(1)
Papers
3D Neural Embedding Likelihood: Probabilistic Inverse Graphics for Robust 6D Pose Estimation
ICCV 2023
ProbNeRF: Uncertainty-Aware Inference of 3D Shapes from 2D Images
AISTATS 2023
SMCP3: Sequential Monte Carlo with Probabilistic Program Proposals
AISTATS 2023
Recursive Monte Carlo and variational inference with auxiliary variables
UAI 2022
3DP3: 3D Scene Perception via Probabilistic Programming
NeurIPS 2021
Hierarchical infinite relational model
UAI 2021
Online Bayesian Goal Inference for Boundedly Rational Planning Agents
NeurIPS 2020
A Family of Exact Goodness-of-Fit Tests for High-Dimensional Discrete Distributions
AISTATS 2019
AIDE: An algorithm for measuring the accuracy of probabilistic inference algorithms
NeurIPS 2017
Variational Particle Approximations
JMLR 2017
A Probabilistic Programming Approach To Probabilistic Data Analysis
NeurIPS 2016
Approximate Bayesian Image Interpretation using Generative Probabilistic Graphics Programs
NeurIPS 2013
Learning annotated hierarchies from relational data
NeurIPS 2006
AClass: A simple, online, parallelizable algorithm for probabilistic classification
AISTATS 1999