Priyank Jaini

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 31

Top Venues

CoRR

NeurIPS

ICML

ICNP

University of Waterloo, Ontario, Canada (PHD)

Education History

University of Waterloo, Ontario, Canada

PHD

Publications

Priyank Jaini, Kevin Clark, Robert Geirhos
Intriguing Properties of Generative Classifiers. ICLR (2024)
Kevin Clark, Priyank Jaini
Text-to-Image Diffusion Models are Zero Shot Classifiers. NeurIPS (2023)
Priyank Jaini, Kevin Clark, Robert Geirhos
Intriguing properties of generative classifiers. CoRR (2023)
Kevin Clark, Priyank Jaini
Text-to-Image Diffusion Models are Zero-Shot Classifiers. CoRR (2023)
Lars Holdijk, Yuanqi Du, Ferry Hooft, Priyank Jaini, Bernd Ensing, Max Welling
Stochastic Optimal Control for Collective Variable Free Sampling of Molecular Transition Paths. NeurIPS (2023)
Lars Holdijk, Yuanqi Du, Ferry Hooft, Priyank Jaini, Bernd Ensing, Max Welling
Path Integral Stochastic Optimal Control for Sampling Transition Paths. CoRR (2022)
Priyank Jaini, Kristian Kersting, Antonio Vergari, Max Welling
Recent Advancements in Tractable Probabilistic Inference (Dagstuhl Seminar 22161). Dagstuhl Reports 12 (4) (2022)
Priyank Jaini, Didrik Nielsen, Max Welling
Sampling in Combinatorial Spaces with SurVAE Flow Augmented MCMC. CoRR (2021)
T. Anderson Keller, Jorn W. T. Peters, Priyank Jaini, Emiel Hoogeboom, Patrick Forré, Max Welling
Self Normalizing Flows. ICML (2021)
Emiel Hoogeboom, Didrik Nielsen, Priyank Jaini, Patrick Forré, Max Welling
Argmax Flows and Multinomial Diffusion: Towards Non-Autoregressive Language Models. CoRR (2021)
Emiel Hoogeboom, Didrik Nielsen, Priyank Jaini, Patrick Forré, Max Welling
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions. NeurIPS (2021)
Priyank Jaini, Lars Holdijk, Max Welling
Learning Equivariant Energy Based Models with Equivariant Stein Variational Gradient Descent. NeurIPS (2021)
Priyank Jaini, Didrik Nielsen, Max Welling
Sampling in Combinatorial Spaces with SurVAE Flow Augmented MCMC. AISTATS (2021)
Kirill Neklyudov, Priyank Jaini, Max Welling
Particle Dynamics for Learning EBMs. CoRR (2021)
Priyank Jaini, Lars Holdijk, Max Welling
Learning Equivariant Energy Based Models with Equivariant Stein Variational Gradient Descent. CoRR (2021)
Priyank Jaini, Ivan Kobyzev, Yaoliang Yu, Marcus Brubaker
Tails of Lipschitz Triangular Flows. ICML (2020)
Allen Houze Wang, Priyank Jaini, Yaoliang Yu, Pascal Poupart
Complete Hierarchy of Relaxation for Constrained Signomial Positivity. CoRR (2020)
T. Anderson Keller, Jorn W. T. Peters, Priyank Jaini, Emiel Hoogeboom, Patrick Forré, Max Welling
Self Normalizing Flows. CoRR (2020)
Didrik Nielsen, Priyank Jaini, Emiel Hoogeboom, Ole Winther, Max Welling
SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows. CoRR (2020)
Amur Ghose, Priyank Jaini, Pascal Poupart
Learning directed acyclic graph SPNs in sub-quadratic time. Int. J. Approx. Reason. 120 (2020)
Didrik Nielsen, Priyank Jaini, Emiel Hoogeboom, Ole Winther, Max Welling
SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows. NeurIPS (2020)
Priyank Jaini, Ivan Kobyzev, Marcus Brubaker, Yaoliang Yu
Tails of Triangular Flows. CoRR (2019)
Priyank Jaini, Kira A. Selby, Yaoliang Yu
Sum-of-Squares Polynomial Flow. ICML (2019)
Priyank Jaini, Kira A. Selby, Yaoliang Yu
Sum-of-Squares Polynomial Flow. CoRR (2019)
Priyank Jaini, Amur Ghose, Pascal Poupart
Prometheus : Directly Learning Acyclic Directed Graph Structures for Sum-Product Networks. PGM (2018)
Priyank Jaini, Pascal Poupart, Yaoliang Yu
Deep Homogeneous Mixture Models: Representation, Separation, and Approximation. NeurIPS (2018)
Johannes Burge, Priyank Jaini
Accuracy Maximization Analysis for Sensory-Perceptual Tasks: Computational Improvements, Filter Robustness, and Coding Advantages for Scaled Additive Noise. PLoS Comput. Biol. 13 (2) (2017)
Priyank Jaini, Zhitang Chen, Pablo Carbajal, Edith Law, Laura Middleton, Kayla Regan, Mike Schaekermann, George Trimponias, James Tung, Pascal Poupart
Online Bayesian Transfer Learning for Sequential Data Modeling. ICLR (Poster) (2017)
Priyank Jaini, Abdullah Rashwan, Han Zhao, Yue Liu, Ershad Banijamali, Zhitang Chen, Pascal Poupart
Online Algorithms for Sum-Product Networks with Continuous Variables. Probabilistic Graphical Models (2016)
Pascal Poupart, Zhitang Chen, Priyank Jaini, Fred Fung, Hengky Susanto, Yanhui Geng, Li Chen, Kai Chen, Hao Jin
Online flow size prediction for improved network routing. ICNP (2016)
Priyank Jaini, Pascal Poupart
Online and Distributed learning of Gaussian mixture models by Bayesian Moment Matching. CoRR (2016)

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Publication Activity (10 Years)

Top Topics

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Priyank Jaini