Learning Equivariant Energy Based Models with Equivariant Stein Variational Gradient Descent
Priyank Jaini*,
Lars Holdijk*,
Max Welling
NeurIPS 2021
Paper
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Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions
Emiel Hoogeboom*,
Didrik Nielsen*,
Priyank Jaini,
Patrick Forré,
Max Welling
NeurIPS 2021
Paper | Code
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Self-Normalizing Flows
Thomas Andy Keller,
Jorn Peters,
Priyank Jaini,
Emiel Hoogeboom,
Patrick Forré,
Max Welling
ICML 2021  (Spotlight)
Paper | Code
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Sampling in Combinatorial Spaces with SurVAE Flow Augmented MCMC
Priyank Jaini,
Didrik Nielsen,
Max Welling
AISTATS 2021
Paper | Code
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SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows
Didrik Nielsen,
Priyank Jaini,
Emiel Hoogeboom,
Ole Winther,
Max Welling
NeurIPS 2020  (Long Oral Presentation)
Paper | Code | Video
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Tails of Lipschitz Triangular Flows
Priyank Jaini,
Ivan Kobyzev,
Marcus Brubaker,
Yaoliang Yu
ICML 2020
Paper
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Learning Directed Acyclic Graph SPNs in Sub-Quadratic Time
Amur Ghose,
Priyank Jaini,
Pascal Poupart,
International Journal of Approximate Reasoning (IJAR) 2020
Paper
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A Positivstellensatz for Conditional SAGE Signomials
Allen Wang,
Priyank Jaini,
Pascal Poupart,
Yaoliang Yu
Preprint
arXiv
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Sum-of-Squares Polynomial Flows
Priyank Jaini,
Kira A. Selby,
Yaoliang Yu
ICML 2019  (Long Oral Presentation)
Paper
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Deep Homogeneous Mixture Models: Representation, Separation, and Approximation
Priyank Jaini,
Pascal Poupart,
Yaoliang Yu
NeurIPS 2018
Paper | Video
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Prometheus: Directly Learning Acyclic Directed Graph Structures for Sum-Product Networks
Priyank Jaini,
Amur Ghose,
Pascal Poupart
Probabilistic Graphical Models (PGM) 2018
Paper
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Online Bayesian Transfer Learning for Sequential Data Modelling
Priyank Jaini,
Zhitang Chen,
Pabla Carbajal*,
Edith Law*,
Laura Middleton*,
Kayla Regan*,
Mike Schaekermann*,
James Tung*,
Pascal Poupart
* helped with data collection
ICLR 2017
Paper
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Accuracy Maximization Analysis for Natural Tasks and Principles of Multiplicative Noise
and Filter Correlation in Neural Coding
Johannes Burge,
Priyank Jaini
PLoS Computational Biology 2017
Paper | Code
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Linking Normative Models of Natural Tasks to Descriptive Models of Neural Response
Priyank Jaini,
Johannes Burge
Journal of Vision (JoV) 2017
Paper | Code
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Online and Distributed Learning of Gaussian Mixture Models by Bayesian Moment Matching
Priyank Jaini,
Pascal Poupart
Approximate Bayesian Inference Workshop (AABI) 2017
Paper
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Online Algorithms for Sum-Product Networks with Continuous Variables
Priyank Jaini,
Abdullah Rashwan,
Han Zhao,
Yue Liu,
Ershad Banijamali Liu,
Zhitang Chen,
Pascal Poupart
Probabilistic Graphical Model (PGM) 2016
Paper
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