Michael Arbel
22 papers
· 2018–2025
· 6 conferences
· across top CS/AI conferences
Achievements
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Cross-Pollinator
(14)
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Hot Topic Early Bird
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Keyword Pioneer
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Interdisciplinary Bridge
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Taxonomy Completionist
(35)
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Conference Polyglot
(6)
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Academic Marathon
(7)
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Renaissance Researcher
(6)
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Triple Crown
π₯
Unstoppable
(8)
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Century Club
(22)
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Conference Pioneer
ποΈ
Keyword Collector
(80)
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Prolific Year
(6)
Conferences
NIPS (8)
ICLR (5)
AISTATS (3)
CVPR (2)
ICCV (2)
ICML (2)
Top co-authors
Research topics
Keywords
kernel methods
(6)
bilevel optimization
(3)
neural network
(3)
maximum mean discrepancy
(3)
markov chain monte carlo
(2)
kl divergence
(2)
variational inference
(2)
annealed importance sampling
(2)
normalizing flow
(2)
exponential family
(2)
reproducing kernel hilbert space
(2)
reinforcement learning
(2)
sequential monte carlo
(2)
global convergence
(1)
data augmentation
(1)
optimal transport
(1)
image generation
(1)
image classification
(1)
policy gradient
(1)
natural gradient
(1)
Papers
Generalized Energy Based Models
ICLR 2021
Annealed Flow Transport Monte Carlo
ICML 2021
Maximum Mean Discrepancy Gradient Flow
NIPS 2019
Demystifying MMD GANs
ICLR 2018
On gradient regularizers for MMD GANs
NIPS 2018
Kernel Conditional Exponential Family
AISTATS 2018