Joern-Henrik Jacobsen
15 papers · 2019–2025 · 5 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (5) 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🏃 Academic Marathon (6)
🐣
Hot Topic Early Bird
🌉
Interdisciplinary Bridge
👑
Triple Crown
🗃️
Keyword Collector
(56)
⚡
Prolific Year
(5)
🚀
Conference Pioneer
💎
Century Club
(15)
Conferences
ICML (8)
ICLR (3)
NIPS (2)
AISTATS (1)
CLEAR (1)
Top co-authors
Keywords
domain generalization
(3)
density estimation
(2)
adversarial robustness
(2)
maximum likelihood
(2)
normalizing flow
(2)
invertible residual network
(2)
generative model
(2)
covariate shift
(1)
algorithmic fairness
(1)
representation learning
(1)
adversarial training
(1)
out-of-distribution generalization
(1)
optimal transport
(1)
convolutional network
(1)
model robustness
(1)
disentangled representation
(1)
gradient computation
(1)
distribution shift
(1)
domain adaptation
(1)
robust optimization
(1)
Papers
Addressing Misspecification in Simulation-based Inference through Data-driven Calibration
ICML 2025
Learning Invariant Representations with Missing Data
CLEAR 2022
Environment Inference for Invariant Learning
ICML 2021
Out-of-Distribution Generalization via Risk Extrapolation (REx)
ICML 2021
Understanding and Mitigating Exploding Inverses in Invertible Neural Networks
AISTATS 2021
How to Train Your Neural ODE: the World of Jacobian and Kinetic Regularization
ICML 2020
Fundamental Tradeoffs between Invariance and Sensitivity to Adversarial Perturbations
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
Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling
ICML 2020
Invertible Residual Networks
ICML 2019
Residual Flows for Invertible Generative Modeling
NIPS 2019
Excessive Invariance Causes Adversarial Vulnerability
ICLR 2019
Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks
NIPS 2019
Flexibly Fair Representation Learning by Disentanglement
ICML 2019