Gökcen Eraslan

Principal Researcher, BRAID, Genentech

Joined

November 2016

Names

Gökcen Eraslan (Preferred)

Emails

****@helmholtz-muenchen.de (Confirmed)

,

****@tum.de (Confirmed)

,

****@gene.com (Confirmed)

Personal Links

Career & Education History

Principal Researcher

BRAID, Genentech (gene.com)

2022 – Present

Postdoc

Broad Institute (broadinstitute.org)

2018 – 2022

PhD student

Technical University Munich (tum.de)

2014 – 2018

Advisors, Relations & Conflicts

No relations added

Expertise

Deep learning

2015 – Present

Machine learning

2013 – Present

Computational biology

2013 – Present

Publications

Derivative-Free Guidance in Continuous and Discrete Diffusion Models with Soft Value-based Decoding
Xiner Li, Yulai Zhao, Chenyu Wang, Gabriele Scalia, Gökcen Eraslan, Surag Nair, Tommaso Biancalani, Shuiwang Ji, Aviv Regev, Sergey Levine, Masatoshi Uehara
- NeurIPS 2025 poster
- Readers: Everyone
Derivative-Free Guidance in Continuous and Discrete Diffusion Models with Soft Value-Based Decoding
Xiner Li, Yulai Zhao, Chenyu Wang, Gabriele Scalia, Gökcen Eraslan, Surag Nair, Tommaso Biancalani, Shuiwang Ji, Aviv Regev, Sergey Levine, Masatoshi Uehara
- AIDrugX Poster
- Readers: Everyone
Benchmarking DNA Sequence Models for Causal Variant Prediction in Human Genetics
Gonzalo Benegas, Gökcen Eraslan, Yun S. Song
- Submitted to ICLR 2025
- Readers: Everyone
A mechanistically interpretable neural network for regulatory genomics
Alex M Tseng, Gökcen Eraslan, Tommaso Biancalani, Gabriele Scalia
- Submitted to ICLR 2025
- Readers: Everyone
Derivative-Free Guidance in Continuous and Discrete Diffusion Models with Soft Value-Based Decoding
Xiner Li, Yulai Zhao, Chenyu Wang, Gabriele Scalia, Gökcen Eraslan, Surag Nair, Tommaso Biancalani, Shuiwang Ji, Aviv Regev, Sergey Levine, Masatoshi Uehara
- Submitted to ICLR 2025
- Readers: Everyone
GFlowNet Assisted Biological Sequence Editing
Pouya M. Ghari, Alex M Tseng, Gökcen Eraslan, Romain Lopez, Tommaso Biancalani, Gabriele Scalia, Ehsan Hajiramezanali
- NeurIPS 2024 poster
- Readers: Everyone
Bridging Model-Based Optimization and Generative Modeling via Conservative Fine-Tuning of Diffusion Models
Masatoshi Uehara, Yulai Zhao, Ehsan Hajiramezanali, Gabriele Scalia, Gökcen Eraslan, Avantika Lal, Sergey Levine, Tommaso Biancalani
- NeurIPS 2024 poster
- Readers: Everyone
A mechanistically interpretable neural-network architecture for discovery of regulatory genomics
Alex M Tseng, Gökcen Eraslan, Nathaniel Lee Diamant, Tommaso Biancalani, Gabriele Scalia
- MLGenX 2024 Spotlight
- Readers: Everyone
regLM: Designing realistic regulatory DNA with autoregressive language models
Avantika Lal, Tommaso Biancalani, Gökcen Eraslan
- GenBio@NeurIPS2023 Poster
- Readers: Everyone
Generative Flow Networks Assisted Biological Sequence Editing
Pouya M. Ghari, Alex Tseng, Gökcen Eraslan, Romain Lopez, Tommaso Biancalani, Gabriele Scalia, Ehsan Hajiramezanali
- GenBio@NeurIPS2023 Spotlight
- Readers: Everyone

Co-Authors