Sotabase

Career

· Ph.D. in Artificial Intelligence, UC Berkeley2019–

Publications (59)

Analyzing Learned Molecular Representations for Property Prediction
Journal of Chemical Information and Modeling · 2019
1,548
cited
A Deep Learning Approach to Antibiotic Discovery
Cell · 2020
1,175
cited
Machine-learning-guided directed evolution for protein engineering
Nature Methods · 2018
875
cited
FUDGE: Controlled Text Generation With Future Discriminators
North American Chapter of the Association for Computational Linguistics · 2021
393
cited
Protein structure generation via folding diffusion
Nature Communications · 2022
263
cited
Learning Multimodal Graph-to-Graph Translation for Molecular Optimization
International Conference on Learning Representations · 2018
255
cited
Re3: Generating Longer Stories With Recursive Reprompting and Revision
Conference on Empirical Methods in Natural Language Processing · 2022
245
cited
Uncertainty Quantification Using Neural Networks for Molecular Property Prediction
Journal of Chemical Information and Modeling · 2020
222
cited
Learned protein embeddings for machine learning
Bioinform. · 2018
189
cited
Machine learning-guided channelrhodopsin engineering enables minimally-invasive optogenetics
Nature Methods · 2019
174
cited
Protein generation with evolutionary diffusion: sequence is all you need
bioRxiv · 2024
173
cited
FLIP: Benchmark tasks in fitness landscape inference for proteins
bioRxiv · 2021
168
cited
Protein sequence design with deep generative models
Current Opinion in Chemical Biology · 2021
158
cited
Convolutions are competitive with transformers for protein sequence pretraining
bioRxiv · 2024
142
cited
Evolutionary velocity with protein language models
bioRxiv · 2021
129
cited
Masked Inverse Folding with Sequence Transfer for Protein Representation Learning
bioRxiv · 2023
114
cited
DOC: Improving Long Story Coherence With Detailed Outline Control
Annual Meeting of the Association for Computational Linguistics · 2023
111
cited
Machine learning to design integral membrane channelrhodopsins for efficient eukaryotic expression and plasma membrane localization
PLoS Comput. Biol. · 2017
109
cited
ClimateNet: an expert-labeled open dataset and deep learning architecture for enabling high-precision analyses of extreme weather
2021
97
cited
Adaptive machine learning for protein engineering
Current Opinion in Structural Biology · 2021
94
cited
Sotabase
Kevin Yang | Researcher Profile | Sotabase | Sotabase