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Priyank Jaini
Priyank Jaini
Google DeepMind
Adresse e-mail validée de google.com - Page d'accueil
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Argmax flows and multinomial diffusion: Learning categorical distributions
E Hoogeboom, D Nielsen, P Jaini, P Forré, M Welling
Advances in Neural Information Processing Systems 34, 12454-12465, 2021
442*2021
Sum-of-Squares Polynomial Flow
P Jaini, KA Selby, Y Yu
International Conference of Machine Learning, ICML 2019, 2019
1532019
Online flow size prediction for improved network routing
P Poupart, Z Chen, P Jaini, F Fung, H Susanto, Y Geng, L Chen, K Chen, ...
2016 IEEE 24th International Conference on Network Protocols (ICNP), 1-6, 2016
1332016
Survae flows: Surjections to bridge the gap between vaes and flows
D Nielsen, P Jaini, E Hoogeboom, O Winther, M Welling
Advances in Neural Information Processing Systems 33, 12685-12696, 2020
1162020
Text-to-image diffusion models are zero shot classifiers
K Clark, P Jaini
Advances in Neural Information Processing Systems 36, 2024
972024
Tails of Triangular Flows
P Jaini, I Kobyzev, M Brubaker, Y Yu
ICML 2020 arXiv:1907.04481, 2020
56*2020
Accuracy Maximization Analysis for Sensory-Perceptual Tasks: Computational Improvements, Filter Robustness, and Coding Advantages for Scaled Additive Noise
J Burge, P Jaini
Public Library of Science - PLoS Computational Biology, 2017
392017
Intriguing properties of generative classifiers
P Jaini, K Clark, R Geirhos
arXiv preprint arXiv:2309.16779, 2023
322023
Online algorithms for sum-product networks with continuous variables
P Jaini, A Rashwan, H Zhao, Y Liu, E Banijamali, Z Chen, P Poupart
Conference on probabilistic graphical models, 228-239, 2016
312016
Linking normative models of natural tasks to descriptive models of neural response
P Jaini, J Burge
Journal of Vision 17 (12), 16-16, 2017
282017
Online Bayesian transfer learning for sequential data modeling
P Jaini, Z Chen, P Carbajal, E Law, L Middleton, K Regan, ...
International Conference on Learning Representations, ICLR, 2017
252017
Prometheus: Directly learning acyclic directed graph structures for sum-product networks
P Jaini, A Ghose, P Poupart
International Conference on Probabilistic Graphical Models, 181-192, 2018
222018
Self normalizing flows
TA Keller, JWT Peters, P Jaini, E Hoogeboom, P Forré, M Welling
International Conference on Machine Learning, 5378-5387, 2021
202021
Learning equivariant energy based models with equivariant stein variational gradient descent
P Jaini, L Holdijk, M Welling
Advances in Neural Information Processing Systems 34, 16727-16737, 2021
152021
Deep homogeneous mixture models: representation, separation, and approximation
P Jaini, P Poupart, Y Yu
Advances in Neural Information Processing Systems 31, 2018
142018
Online and distributed learning of gaussian mixture models by bayesian moment matching
P Jaini, P Poupart
Symposium on Advances in Approximate Bayesian Inference (AABI), NeurIPS 2017, 2016
132016
Sampling in combinatorial spaces with survae flow augmented mcmc
P Jaini, D Nielsen, M Welling
International Conference on Artificial Intelligence and Statistics, 3349-3357, 2021
112021
Path integral stochastic optimal control for sampling transition paths
L Holdijk, Y Du, P Jaini, F Hooft, B Ensing, M Welling
ICML 2022 2nd AI for Science Workshop, 2022
92022
Stochastic optimal control for collective variable free sampling of molecular transition paths
L Holdijk, Y Du, F Hooft, P Jaini, B Ensing, M Welling
Advances in Neural Information Processing Systems 36, 2024
82024
Exploring Exchangeable Dataset Amortization for Bayesian Posterior Inference
S Mittal, NL Bracher, G Lajoie, P Jaini, MA Brubaker
ICML 2023 Workshop on Structured Probabilistic Inference {\&} Generative …, 2023
62023
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