Debora Marks
10 papers · 2017–2024 · 4 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π Renaissance Researcher (6) πΊοΈ Taxonomy Completionist (20) π Conference Polyglot (4)
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Academic Marathon
(7)
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Cross-Pollinator
(4)
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Century Club
(10)
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Keyword Collector
(51)
Conferences
NIPS (5)
ICML (3)
AISTATS (1)
ICLR (1)
Top co-authors
Keywords
protein fitness prediction
(2)
probabilistic modeling
(2)
protein language model
(2)
generative model
(2)
black-box optimization
(1)
variational inference
(1)
bayesian nonparametrics
(1)
property prediction
(1)
gibbs sampling
(1)
monte carlo sampling
(1)
protein design
(1)
bayesian optimization
(1)
markov model
(1)
density estimation
(1)
multimodal representation learning
(1)
autoregressive model
(1)
benchmark dataset
(1)
sequence model
(1)
bayesian inference
(1)
autoregressive transformer
(1)
Papers
Multi-Scale Representation Learning for Protein Fitness Prediction
NIPS 2024
ProteinGym: Large-Scale Benchmarks for Protein Fitness Prediction and Design
NIPS 2023
ProteinNPT: Improving Protein Property Prediction and Design with Non-Parametric Transformers
NIPS 2023
Tranception: Protein Fitness Prediction with Autoregressive Transformers and Inference-time Retrieval
ICML 2022
Non-identifiability and the Blessings of Misspecification in Models of Molecular Fitness
NIPS 2022
Optimal Design of Stochastic DNA Synthesis Protocols based on Generative Sequence Models
AISTATS 2022
A Structured Observation Distribution for Generative Biological Sequence Prediction and Forecasting
ICML 2021
A generative nonparametric Bayesian model for whole genomes
NIPS 2021
Learning Protein Structure with a Differentiable Simulator
ICLR 2019
Variational Inference for Sparse and Undirected Models
ICML 2017