Frank Noe
13 papers · 2016–2024 · 3 conferences · across top CS/AI conferences
Achievements
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๐งญ Keyword Pioneer ๐ Interdisciplinary Bridge ๐ Conference Polyglot (3) ๐ Academic Marathon (8) ๐ Cross-Pollinator (4)
๐บ๏ธ
Taxonomy Completionist
(23)
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Interdisciplinary Bridge
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Keyword Champion
(6)
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Century Club
(13)
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Trend Setter
๐๏ธ
Keyword Collector
(60)
๐ฅ
Unstoppable
(5)
Conferences
NIPS (10)
ICML (2)
ICLR (1)
Top co-authors
Keywords
normalizing flow
(7)
molecular dynamics
(6)
variational inference
(3)
equivariant neural network
(3)
boltzmann generator
(3)
stochastic process
(2)
markov chain monte carlo
(2)
generative model
(2)
metastable state
(2)
graph representation learning
(1)
probability distribution
(1)
importance sampling
(1)
markov chain
(1)
optimal transport
(1)
representation learning
(1)
deep learning
(1)
transfer learning
(1)
probability density estimation
(1)
flow matching
(1)
spectral learning
(1)
Papers
Transferable Boltzmann Generators
NIPS 2024
Navigating the Design Space of Equivariant Diffusion-Based Generative Models for De Novo 3D Molecule Generation
ICLR 2024
Doob's Lagrangian: A Sample-Efficient Variational Approach to Transition Path Sampling
NIPS 2024
Rigid Body Flows for Sampling Molecular Crystal Structures
ICML 2023
Timewarp: Transferable Acceleration of Molecular Dynamics by Learning Time-Coarsened Dynamics
NIPS 2023
Equivariant flow matching
NIPS 2023
Unsupervised Learning of Group Invariant and Equivariant Representations
NIPS 2022
Permutation-Invariant Variational Autoencoder for Graph-Level Representation Learning
NIPS 2021
Smooth Normalizing Flows
NIPS 2021
Stochastic Normalizing Flows
NIPS 2020
Equivariant Flows: Exact Likelihood Generative Learning for Symmetric Densities
ICML 2020
Deep Generative Markov State Models
NIPS 2018
Spectral Learning of Dynamic Systems from Nonequilibrium Data
NIPS 2016