Felix Draxler
10 papers · 2018–2025 · 4 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (19)
👑
Triple Crown
🧭
Keyword Pioneer
📈
Trend Setter
💎
Century Club · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(10)
Deep Learning
(9)
Models
(7)
Core Methods
(6)
Optimization & Theory
(4)
Artificial Intelligence
(2)
Mathematics & Optimization
(2)
Architectures
(2)
Bayesian & Probabilistic · Machine Learning
(2)
Learning Types · Machine Learning
(2)
Computer Vision
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Core AI
(1)
Generation
(1)
Learning Types · Deep Learning
(1)
Keywords
normalizing flow
(6)
neural network
(4)
generative model
(4)
maximum likelihood
(4)
variational inference
(2)
convergence rate
(2)
expressive power
(1)
riemannian manifold
(1)
diffusion model
(1)
inverse problem
(1)
loss function
(1)
molecular simulation
(1)
spectral bia
(1)
molecule generation
(1)
flow-based model
(1)
data manifold
(1)
change of variable
(1)
real nvp
(1)
maximum likelihood training
(1)
trajectory matching
(1)
Papers
TRADE: Transfer of Distributions between External Conditions with Normalizing Flows
AISTATS 2025
Variational Control for Guidance in Diffusion Models
ICML 2025
Free-form Flows: Make Any Architecture a Normalizing Flow
AISTATS 2024
Learning Distributions on Manifolds with Free-Form Flows
NeurIPS 2024
Lifting Architectural Constraints of Injective Flows
ICLR 2024
On the Universality of Volume-Preserving and Coupling-Based Normalizing Flows
ICML 2024
On the Convergence Rate of Gaussianization with Random Rotations
ICML 2023
Whitening Convergence Rate of Coupling-based Normalizing Flows
NeurIPS 2022
On the Spectral Bias of Neural Networks
ICML 2019
Essentially No Barriers in Neural Network Energy Landscape
ICML 2018