Publications

33 results for Jannis Born

Regress, Don't Guess: A Regression-like Loss on Number Tokens for Language Models
- - Jonas Zausinger
  - Lars Pennig
  - et al.
- 2025
- ICML 2025
Multiscale Byte Language Models -- A Hierarchical Architecture for Causal Million-Length Sequence Modeling
- - Eric Egli
  - Matteo Manica
  - et al.
- 2025
- ICML 2025
Regress, Don’t Guess – A Regression-like Loss on Number Tokens for Language Models
- - Jonas Zausinger
  - Lars Pennig
  - et al.
- 2024
- NeurIPS 2024
Quantum Theory and Application of Contextual Optimal Transport
- - Nicola Mariella
  - Albert Akhriev
  - et al.
- 2024
- ICML 2024
Learning Drug Perturbations via Conditional Map Estimators
- - Benedek Harsanyi
  - Marianna Rapsomaniki
  - et al.
- 2024
- ICLR 2024
Using Domain Specific Languages to Enable Artificial Intelligence for Polymer and Catalyst Design
- - Nathaniel Park
  - Jannis Born
  - et al.
- 2024
- MRS Spring Meeting 2024
AI for Drug Discovery
- - Marianna Rapsomaniki
  - Jannis Born
  - et al.
- 2024
- AMLD EPFL 2024
Language models in molecular discovery
- - Nikita Janakarajan
  - Tim Erdmann
  - et al.
- 2023
- NeurIPS 2023
Quantum Theory and Application of Contextual Optimal Transport
- - Nicola Mariella
  - Jannis Born
  - et al.
- 2023
- NeurIPS 2023
Using Foundation Models to Promote Digitization and Reproducibility in Scientific Experimentation
- - Amol Thakkar
  - Andrea Giovannini
  - et al.
- 2023
- NeurIPS 2023