Mitch Hill
7 papers · 2019–2024 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(20)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(7)
Deep Learning
(5)
Models
(5)
Optimization & Theory
(5)
Learning Types · Machine Learning
(4)
Artificial Intelligence
(3)
Core AI
(3)
Bayesian & Probabilistic
(2)
Computer Vision
(1)
Architectures
(1)
Core Methods
(1)
Generation
(1)
Learning Types · Deep Learning
(1)
Techniques
(1)
Keywords
energy-based model
(5)
markov chain monte carlo
(4)
generative model
(4)
maximum likelihood learning
(2)
image generation
(1)
probabilistic modeling
(1)
variational inference
(1)
self-supervised learning
(1)
image synthesis
(1)
maximum likelihood
(1)
mcmc sampling
(1)
contrastive divergence
(1)
motion generation
(1)
latent variable
(1)
convolutional network
(1)
adversarial defense
(1)
out-of-distribution detection
(1)
clip embedding
(1)
variational learning
(1)
steady-state distribution
(1)
Papers
OmniMotionGPT: Animal Motion Generation with Limited Data
CVPR 2024
Learning Probabilistic Models from Generator Latent Spaces with Hat EBM
NeurIPS 2022
Self-Joint Supervised Learning
ICLR 2022
Stochastic Security: Adversarial Defense Using Long-Run Dynamics of Energy-Based Models
ICLR 2021
On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models
AAAI 2020
Divergence Triangle for Joint Training of Generator Model, Energy-Based Model, and Inferential Model
CVPR 2019
Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model
NeurIPS 2019