Friederich, Pascal

10 publications

ICLRW 2025 MatBind: Probing the Multimodality of Materials Science with Contrastive Learning Adrian Mirza, Le Yang, Anoop K. Chandran, Jona Östreicher, Sebastien Bompas, Bashir Kazimi, Stefan Kesselheim, Pascal Friederich, Stefan Sandfeld, Kevin Maik Jablonka

ICML 2025 Temperature-Annealed Boltzmann Generators Henrik Schopmans, Pascal Friederich

ICML 2024 Conditional Normalizing Flows for Active Learning of Coarse-Grained Molecular Representations Henrik Schopmans, Pascal Friederich

ICML 2024 Contextualized Policy Recovery: Modeling and Interpreting Medical Decisions with Adaptive Imitation Learning Jannik Deuschel, Caleb Ellington, Yingtao Luo, Ben Lengerich, Pascal Friederich, Eric P. Xing

ICMLW 2024 Finding Structure-Property Relationships for Molecular Property Predictions with Globally Explainable AI Jonas Teufel, Pascal Friederich

NeurIPSW 2023 Active Learning for Excited States Dynamics Simulations to Discover Molecular Degradation Pathways Chen Zhou, Prashant Kumar, Daniel Escudero, Pascal Friederich

NeurIPSW 2023 Connectivity Optimized Nested Line Graph Networks for Crystal Structures Robin Ruff, Patrick Reiser, Jan Stuehmer, Pascal Friederich

NeurIPSW 2022 Actively Learning Costly Reward Functions for Reinforcement Learning André Eberhard, Houssam Metni, Georg Fahland, Alexander Stroh, Pascal Friederich

NeurIPSW 2022 MEGAN: Multi Explanation Graph Attention Network Jonas Teufel, Luca Torresi, Patrick Nicholas Reiser, Pascal Friederich

ICLR 2020 Augmenting Genetic Algorithms with Deep Neural Networks for Exploring the Chemical Space AkshatKumar Nigam, Pascal Friederich, Mario Krenn, Alán Aspuru-Guzik