Scholar
Tomas Geffner
Google Scholar ID: KIIe2K8AAAAJ
Research Scientist, NVIDIA
Citations & Impact
Citations
530
H-index
13
i10-index
14
Publications
20
Co-authors
0
Contact
Publications
Resume (English only)
Academic Achievements
- Published multiple papers in top conferences such as ICML, ICLR, NeurIPS, and preprints on Arxiv, including 'La-Proteina: Atomistic Protein Generation via Partially Latent Flow Matching', 'Learning Straight Flows by Learning Curved Interpolants', etc.
Research Experience
- Research Scientist at NVIDIA, working on generative modeling; interned at VantAI, DeepMind, MSR, and Amazon AWS.
Education
- PhD in Computer Science from UMass Amherst, 2023. Advisor information not provided.
Background
- Research interests: Probabilistic Machine Learning, with a focus on generative models and sampling methods. He is also interested in applications across different scientific domains.
Miscellany
- Personal interests not mentioned.
Co-authors