Pascal Friederich

4 papers · 2020–2025 · 2 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird

Venues

ICML (3) ICLR (1)

Top co-authors

Henrik Schopmans (2) AkshatKumar Nigam (1) Ben Lengerich (1) Yingtao Luo (1) Eric P. Xing (1) Mario Krenn (1) Caleb Ellington (1) Jannik Deuschel (1) Alan Aspuru-Guzik (1)

Research topics

Artificial Intelligence (3) Machine Learning (3) Application Areas (2) Bayesian & Probabilistic (2) Mathematics & Optimization (1) Reinforcement Learning (1) Core AI (1) Methods (1) Optimization (1) Optimization & Theory (1)

Keywords

normalizing flow (2) boltzmann distribution (2) mode collapse (2) policy recovery (1) molecule generation (1) chemical space exploration (1) genetic algorithm (1) neural network (1) reverse kullback-leibler divergence (1) adaptive (1) contextualized (1) antibiotic prescription (1) all-atom potential energy evaluations (1) coarse-grained representations (1) target temperature (1) active learning (1) temperature-annealed (1) imitation learning (1) interpretability (1)

Papers

Temperature-Annealed Boltzmann Generators ICML 2025 Conditional Normalizing Flows for Active Learning of Coarse-Grained Molecular Representations ICML 2024 Contextualized Policy Recovery: Modeling and Interpreting Medical Decisions with Adaptive Imitation Learning ICML 2024 Augmenting Genetic Algorithms with Deep Neural Networks for Exploring the Chemical Space ICLR 2020