Jennifer Listgarten

Affiliations:

University of California, Berkeley, CA, USA
University of Toronto, Canada

According to our database¹, Jennifer Listgarten authored at least 28 papers between 2004 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Unlocking Guidance for Discrete State-Space Diffusion and Flow Models.

[BibT_eX]

[DOI]

CoRR, 2024

2023

The perpetual motion machine of AI-generated data and the distraction of ChatGPT-as-scientist.

[BibT_eX]

[DOI]

Jennifer Listgarten

CoRR, 2023

Is novelty predictable?

[BibT_eX]

[DOI]

Clara Fannjiang

Jennifer Listgarten

CoRR, 2023

2022

Augmenting Neural Networks with Priors on Function Values.

[BibT_eX]

[DOI]

Hunter Nisonoff

Yixin Wang

Jennifer Listgarten

CoRR, 2022

Conformal prediction for the design problem.

[BibT_eX]

[DOI]

Clara Fannjiang

Stephen Bates

Anastasios N. Angelopoulos

Jennifer Listgarten

Michael I. Jordan

CoRR, 2022

2020

Autofocused oracles for model-based design.

[BibT_eX]

[DOI]

Clara Fannjiang

Jennifer Listgarten

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

A view of estimation of distribution algorithms through the lens of expectation-maximization.

[BibT_eX]

[DOI]

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019

Conditioning by adaptive sampling for robust design.

[BibT_eX]

[DOI]

David H. Brookes

Hahnbeom Park

Jennifer Listgarten

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Design by adaptive sampling.

[BibT_eX]

[DOI]

David H. Brookes

Jennifer Listgarten

CoRR, 2018

Gaussian Process Prior Variational Autoencoders.

[BibT_eX]

[DOI]

Francesco Paolo Casale

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Flexible Modeling of Genetic Effects on Function-Valued Traits.

[BibT_eX]

[DOI]

Nicoló Fusi

Jennifer Listgarten

J. Comput. Biol., 2017

2016

Flexible Modelling of Genetic Effects on Function-Valued Traits.

[BibT_eX]

[DOI]

Nicoló Fusi

Jennifer Listgarten

Proceedings of the Research in Computational Molecular Biology - 20th Annual Conference, 2016

2015

Session introduction.

[BibT_eX]

[DOI]

Proceedings of the Biocomputing 2015: Proceedings of the Pacific Symposium, 2015

2014

Greater power and computational efficiency for kernel-based association testing of sets of genetic variants.

[BibT_eX]

[DOI]

Bioinform., 2014

Session introduction.

[BibT_eX]

[DOI]

Proceedings of the Biocomputing 2014: Proceedings of the Pacific Symposium, 2014

2013

A powerful and efficient set test for genetic markers that handles confounders.

[BibT_eX]

[DOI]

Bioinform., 2013

Session introduction.

[BibT_eX]

[DOI]

Proceedings of the Biocomputing 2013: Proceedings of the Pacific Symposium, 2013

The Future of Genome-Based Medicine.

[BibT_eX]

[DOI]

Proceedings of the Biocomputing 2013: Proceedings of the Pacific Symposium, 2013

2012

Session introduction.

[BibT_eX]

[DOI]

Proceedings of the Biocomputing 2012: Proceedings of the Pacific Symposium, 2012

2011

Correction for Hidden Confounders in the Genetic Analysis of Gene Expression (Abstract).

[BibT_eX]

[DOI]

Proceedings of the UAI 2011, 2011

2008

Statistical Resolution of Ambiguous HLA Typing Data.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2008

2007

Analysis of sibling time series data: Alignment and difference detection.

[BibT_eX]

[DOI]

Jennifer Listgarten

PhD thesis, 2007

A Statistical Framework for Modeling HLA-Dependent T Cell Response Data.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2007

Leveraging Information Across HLA Alleles/Supertypes Improves Epitope Prediction.

[BibT_eX]

[DOI]

David Heckerman

Carl Myers Kadie

Jennifer Listgarten

J. Comput. Biol., 2007

Difference detection in LC-MS data for protein biomarker discovery.

[BibT_eX]

[DOI]

Bioinform., 2007

Determining the Number of Non-Spurious Arcs in a Learned DAG Model: Investigation of a Bayesian and a Frequentist Approach.

[BibT_eX]

[DOI]

Jennifer Listgarten

David Heckerman

Proceedings of the UAI 2007, 2007

2006

Bayesian Detection of Infrequent Differences in Sets of Time Series with Shared Structure.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

2004

Multiple Alignment of Continuous Time Series.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Jennifer Listgarten

Timeline

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Bibliography

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