Will Grathwohl
10 papers · 2018–2023 · 3 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (17) π£ Hot Topic Early Bird π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint
π
Conference Pioneer
π₯
Unstoppable Β· Bronze
π
Century Club Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(8)
Deep Learning
(6)
Models
(6)
Optimization & Theory
(4)
Artificial Intelligence
(3)
Mathematics & Optimization
(2)
Core AI
(2)
Core Methods
(2)
Optimization
(2)
Natural Language Processing
(1)
Application Areas
(1)
Applications
(1)
Architectures
(1)
Bayesian & Probabilistic Β· Artificial Intelligence
(1)
Bayesian & Probabilistic Β· Machine Learning
(1)
Keywords
energy-based model
(4)
generative model
(3)
gradient-based sampling
(2)
markov chain monte carlo
(2)
variational autoencoder
(2)
density estimation
(2)
normalizing flow
(2)
metropolis-hastings sampling
(1)
marginal likelihood
(1)
adversarial robustness
(1)
gradient estimation
(1)
maximum likelihood
(1)
random walk
(1)
variance reduction
(1)
variational inference
(1)
discrete distribution
(1)
robust classification
(1)
discrete sampling
(1)
annealed importance sampling
(1)
approximate sampling
(1)
Papers
DISCS: A Benchmark for Discrete Sampling
NeurIPS 2023
Learning to Navigate Wikipedia by Taking Random Walks
NeurIPS 2022
Score-Based Diffusion meets Annealed Importance Sampling
NeurIPS 2022
Oops I Took A Gradient: Scalable Sampling for Discrete Distributions
ICML 2021
Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling
ICML 2020
Understanding the Limitations of Conditional Generative Models
ICLR 2020
Your classifier is secretly an energy based model and you should treat it like one
ICLR 2020
FFJORD: Free-Form Continuous Dynamics for Scalable Reversible Generative Models
ICLR 2019
Invertible Residual Networks
ICML 2019
Backpropagation through the Void: Optimizing control variates for black-box gradient estimation
ICLR 2018