Priyank Jaini
15 papers · 2016–2026 · 6 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (29) 🌍 Conference Polyglot · Silver 🐣 Hot Topic Early Bird 🏃 Academic Marathon · Half
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Conference Pioneer
❓
The Questioner
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Century Club · Bronze
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Keyword Collector
(75)
Top co-authors
Research topics
Machine Learning
(14)
Deep Learning
(11)
Models
(8)
Core Methods
(7)
Optimization & Theory
(7)
Bayesian & Probabilistic · Machine Learning
(5)
Artificial Intelligence
(4)
Architectures
(3)
Learning Types · Deep Learning
(3)
Learning Types · Machine Learning
(3)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Core AI
(2)
Computer Vision
(1)
Mathematics & Optimization
(1)
Generation
(1)
Keywords
normalizing flow
(6)
density estimation
(4)
generative model
(4)
sum-product network
(3)
variational inference
(2)
diffusion model
(2)
text-to-image generation
(1)
probabilistic modeling
(1)
image segmentation
(1)
structure learning
(1)
embedding
(1)
video generation
(1)
object recognition
(1)
tensor decomposition
(1)
online learning
(1)
likelihood estimation
(1)
contrastive divergence
(1)
variable decomposition
(1)
graph partitioning
(1)
markov chain monte carlo
(1)
Papers
Do Generative Video Models Understand Physical Principles?
WACV 2026
Towards flexible perception with visual memory
ICML 2025
Intriguing Properties of Generative Classifiers
ICLR 2024
Stochastic Optimal Control for Collective Variable Free Sampling of Molecular Transition Paths
NeurIPS 2023
Text-to-Image Diffusion Models are Zero Shot Classifiers
NeurIPS 2023
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions
NeurIPS 2021
Learning Equivariant Energy Based Models with Equivariant Stein Variational Gradient Descent
NeurIPS 2021
Sampling in Combinatorial Spaces with SurVAE Flow Augmented MCMC
AISTATS 2021
Self Normalizing Flows
ICML 2021
SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows
NeurIPS 2020
Tails of Lipschitz Triangular Flows
ICML 2020
Sum-of-Squares Polynomial Flow
ICML 2019
Deep Homogeneous Mixture Models: Representation, Separation, and Approximation
NeurIPS 2018
Prometheus : Directly Learning Acyclic Directed Graph Structures for Sum-Product Networks
PGM 2018
Online Algorithms for Sum-Product Networks with Continuous Variables
PGM 2016