Skip to yearly menu bar Skip to main content


Search All 2024 Events
 

27 Results

<<   <   Page 2 of 3   >   >>
Workshop
LLMs are Highly-Constrained Biophysical Sequence Optimizers
Angelica Chen · Robert Alberstein · Andrew Watkins · Kyunghyun Cho · Nathan Frey · Samuel Stanton
Workshop
Directly Optimizing for Synthesizability in Generative Molecular Design using Retrosynthesis Models
Jeff Guo · Philippe Schwaller
Poster
Thu 16:30 Designing Cell-Type-Specific Promoter Sequences Using Conservative Model-Based Optimization
Aniketh Janardhan Reddy · Xinyang Geng · Michael Herschl · Sathvik Kolli · Aviral Kumar · Patrick Hsu · Sergey Levine · Nilah Ioannidis
Workshop
Optimal Spectroscopic Measurement Design: Bayesian Framework for Rational Data Acquisition
Yusei Ito · Yasuo Takeichi · Hideitsu Hino · Kanta Ono
Workshop
Bayesian Optimization for Protein Sequence Design: Back to Simplicity with Gaussian Processes
Carolin Benjamins · Shikha Surana · Oliver Bent · Marius Lindauer · Paul Duckworth
Workshop
Deterministic global optimization for sample-efficient molecular design with generative machine learning
Jan Rittig · Malte Franke · Alexander Mitsos
Workshop
Bayesian Optimal Experimental Design of Streaming Data Incorporating Machine Learning Generated Synthetic Data
Kentaro Hoffman · Tyler H. McCormick
Workshop
Constrained Multi-objective Bayesian Optimization
Diantong Li · Fengxue Zhang · Chong Liu · Yuxin Chen
Workshop
Fine-Tuning Discrete Diffusion Models via Reward Optimization: Applications to DNA and Protein Design
Chenyu Wang · Masatoshi Uehara · Yichun He · Amy Wang · Tommaso Biancalani · Avantika Lal · Tommi Jaakkola · Sergey Levine · Hanchen Wang · Aviv Regev
Workshop
Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein Design
Chenyu Wang · Masatoshi Uehara · Yichun He · Amy Wang · Tommaso Biancalani · Avantika Lal · Tommi Jaakkola · Sergey Levine · Hanchen Wang · Aviv Regev
Workshop
Efficient Design-and-Control Automation with Reinforcement Learning and Adaptive Exploration
Jiajun Fan · Hongyao Tang · Michael Przystupa · Mariano Phielipp · Santiago Miret · Glen Berseth
Workshop
LatentDE: Latent-based Directed Evolution accelerated by Gradient Ascent for Protein Sequence Design
Thanh Tran · Nhat Ngo · Viet Thanh Duy Nguyen · Truong Son Hy