Prein, Thorben

7 publications

ICML 2025 Regress, Don’t Guess: A Regression-like Loss on Number Tokens for Language Models Jonas Zausinger, Lars Pennig, Anamarija Kozina, Sean Sdahl, Julian Sikora, Adrian Dendorfer, Timofey Kuznetsov, Mohamad Hagog, Nina Wiedemann, Kacper Chlodny, Vincent Limbach, Anna Ketteler, Thorben Prein, Vishwa Mohan Singh, Michael Danziger, Jannis Born

ICLRW 2025 Retro-Rank-in: A Ranking-Based Approach for Inorganic Materials Synthesis Planning Thorben Prein, Elton Pan, Sami Haddouti, Marco Lorenz, Janik Jehkul, Tymoteusz Wilk, Cansu Moran, Menelaos Panagiotis Fotiadis, Artur P. Toshev, Elsa Olivetti, Jennifer L.M. Rupp

NeurIPSW 2024 A Chemically-Guided Generative Diffusion Model for Materials Synthesis Planning Elton Pan, Soonhyoung Kwon, Sulin Liu, Mingrou Xie, Yifei Duan, Thorben Prein, Killian Sheriff, Yuriy Roman, Manuel Moliner, Rafael Gomez-Bombarelli, Elsa Olivetti

NeurIPSW 2024 Reaction Graph Networks for Inorganic Synthesis Condition Prediction of Solid State Materials Thorben Prein, Fuzhan Rahmanian, Kesava Prasad Arul, Jasmin El-Wafi, Menelaos Panagiotis Fotiadis, Jan Heimann, Paul Weinmann, Yifei Duan, Elton Pan, Elsa Olivetti, Jennifer L.M. Rupp

NeurIPSW 2024 Regress, Don’t Guess – A Regression-like Loss on Number Tokens for Language Models Jonas Zausinger, Lars Pennig, Kacper Chlodny, Vincent Limbach, Anna Ketteler, Thorben Prein, Vishwa Mohan Singh, Michael Danziger, Jannis Born

NeurIPSW 2023 Extracting a Database of Challenges and Mitigation Strategies for Sodium-Ion Battery Development Mrigi Munjal, Thorben Prein, Vineeth Venugopal, Kevin J Huang, Elsa Olivetti

NeurIPSW 2023 MTENCODER: A Multi-Task Pretrained Transformer Encoder for Materials Representation Learning Thorben Prein, Elton Pan, Tom Doerr, Elsa Olivetti, Jennifer L.M. Rupp