Born, Jannis

13 publications

NeurIPS 2025 Quantum Doubly Stochastic Transformers Jannis Born, Filip Skogh, Kahn Rhrissorrakrai, Filippo Utro, Nico Wagner, Aleksandros Sobczyk

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 2024 Learning Drug Perturbations via Conditional mAP Estimators Benedek Harsanyi, Marianna Rapsomaniki, Jannis Born

NeurIPSW 2024 Modeling CAR Response at the Single-Cell Level Using Conditional OT Alice Driessen, Jannis Born, Rocío Castellanos Rueda, Sai T. Reddy, Marianna Rapsomaniki

ICML 2024 Quantum Theory and Application of Contextual Optimal Transport Nicola Mariella, Albert Akhriev, Francesco Tacchino, Christa Zoufal, Juan Carlos Gonzalez-Espitia, Benedek Harsanyi, Eugene Koskin, Ivano Tavernelli, Stefan Woerner, Marianna Rapsomaniki, Sergiy Zhuk, Jannis Born

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 Characterizing Pre-Trained and Task-Adapted Molecular Representations Celia Cintas, Payel Das, Jarret Ross, Brian Belgodere, Girmaw Abebe Tadesse, Vijil Chenthamarakshan, Jannis Born, Skyler Speakman

NeurIPSW 2023 Language Models in Molecular Discovery Nikita Janakarajan, Tim Erdmann, Sarathkrishna Swaminathan, Teodoro Laino, Jannis Born

NeurIPSW 2023 Quantum Theory and Application of Contextual Optimal Transport Nicola Mariella, Jannis Born, Albert Akhriev, Francesco Tacchino, Christa Zoufal, Eugene Koskin, Ivano Tavernelli, Stefan Woerner, Marianna Rapsomaniki, Sergiy Zhuk

ICML 2023 Unifying Molecular and Textual Representations via Multi-Task Language Modelling Dimitrios Christofidellis, Giorgio Giannone, Jannis Born, Ole Winther, Teodoro Laino, Matteo Manica

NeurIPSW 2023 Using Foundation Models to Promote Digitization and Reproducibility in Scientific Experimentation Amol Thakkar, Andrea Giovannini, Antonio Foncubierta, Carlo Baldassari, Dimitrios Christofidellis, Federico Zipoli, Gianmarco Gabrieli, Jannis Born, Mara Graziani, Marvin Alberts, Matteo Manica, Michael Stiefel, Oliver Schilter, Teodoro Laino, Patrick W. Ruch

ICLRW 2022 Regression Transformer: Concurrent Conditional Generation and Regression by Blending Numerical and Textual Tokens Jannis Born, Matteo Manica

NeurIPS 2020 CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models Vijil Chenthamarakshan, Payel Das, Samuel Hoffman, Hendrik Strobelt, Inkit Padhi, Kar Wai Lim, Benjamin Hoover, Matteo Manica, Jannis Born, Teodoro Laino, Aleksandra Mojsilovic