Debora S. Marks

Orcid: 0000-0001-9388-2281

Affiliations:
  • Harvard Medical School, Boston, MA, USA


According to our database1, Debora S. Marks authored at least 24 papers between 2007 and 2023.

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Bibliography

2023
Scientific discovery in the age of artificial intelligence.
Nat., 2023

Biological Sequence Kernels with Guaranteed Flexibility.
CoRR, 2023

ProteinNPT: Improving protein property prediction and design with non-parametric transformers.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ProteinGym: Large-Scale Benchmarks for Protein Fitness Prediction and Design.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Kernelized Stein Discrepancy for Biological Sequences.
Proceedings of the International Conference on Machine Learning, 2023

2022
PDBe-KB: collaboratively defining the biological context of structural data.
Nucleic Acids Res., 2022

RITA: a Study on Scaling Up Generative Protein Sequence Models.
CoRR, 2022

Non-identifiability and the Blessings of Misspecification in Models of Molecular Fitness.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Tranception: Protein Fitness Prediction with Autoregressive Transformers and Inference-time Retrieval.
Proceedings of the International Conference on Machine Learning, 2022

Optimal Design of Stochastic DNA Synthesis Protocols based on Generative Sequence Models.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
A generative nonparametric Bayesian model for whole genomes.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Structured Observation Distribution for Generative Biological Sequence Prediction and Forecasting.
Proceedings of the 38th International Conference on Machine Learning, 2021

2019
The EVcouplings Python framework for coevolutionary sequence analysis.
Bioinform., 2019

Learning Protein Structure with a Differentiable Simulator.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
Population-specific design of de-immunized protein biotherapeutics.
PLoS Comput. Biol., 2018

2017
Variational Inference for Sparse and Undirected Models.
Proceedings of the 34th International Conference on Machine Learning, 2017

2015
Inferring Pairwise Interactions from Biological Data Using Maximum-Entropy Probability Models.
PLoS Comput. Biol., 2015

2014
Structure, Dynamics and Implied Gating Mechanism of a Human Cyclic Nucleotide-Gated Channel.
PLoS Comput. Biol., 2014

FreeContact: fast and free software for protein contact prediction from residue co-evolution.
BMC Bioinform., 2014

PconsFold: improved contact predictions improve protein models.
Bioinform., 2014

2012
miRcode: a map of putative microRNA target sites in the long non-coding transcriptome.
Bioinform., 2012

2011
3D Protein Structure Predicted from Sequence
CoRR, 2011

2008
The microRNA.org resource: targets and expression.
Nucleic Acids Res., 2008

2007
Computational Analysis of Mouse piRNA Sequence and Biogenesis.
PLoS Comput. Biol., 2007


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