Jennifer Listgarten

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 17

Top Topics

Variational Formulation

Adaptive Sampling

Multiplicative Noise Removal

Methods In Computer Vision

Top Venues

Pacific Symposium on Biocomputing

Publications

Hunter Nisonoff, Junhao Xiong, Stephan Allenspach, Jennifer Listgarten
Unlocking Guidance for Discrete State-Space Diffusion and Flow Models. CoRR (2024)
Jennifer Listgarten
The perpetual motion machine of AI-generated data and the distraction of ChatGPT-as-scientist. CoRR (2023)
Clara Fannjiang, Jennifer Listgarten
Is novelty predictable? CoRR (2023)
Hunter Nisonoff, Yixin Wang, Jennifer Listgarten
Augmenting Neural Networks with Priors on Function Values. CoRR (2022)
Clara Fannjiang, Stephen Bates, Anastasios N. Angelopoulos, Jennifer Listgarten, Michael I. Jordan
Conformal prediction for the design problem. CoRR (2022)
David H. Brookes, Akosua Busia, Clara Fannjiang, Kevin Murphy, Jennifer Listgarten
A view of estimation of distribution algorithms through the lens of expectation-maximization. GECCO Companion (2020)
Clara Fannjiang, Jennifer Listgarten
Autofocused oracles for model-based design. NeurIPS (2020)
Clara Fannjiang, Jennifer Listgarten
Autofocused oracles for model-based design. CoRR (2020)
David H. Brookes, Hahnbeom Park, Jennifer Listgarten
Conditioning by adaptive sampling for robust design. ICML (2019)
David H. Brookes, Hahnbeom Park, Jennifer Listgarten
Conditioning by adaptive sampling for robust design. CoRR (2019)
David H. Brookes, Akosua Busia, Clara Fannjiang, Kevin Murphy, Jennifer Listgarten
A view of Estimation of Distribution Algorithms through the lens of Expectation-Maximization. CoRR (2019)
David H. Brookes, Jennifer Listgarten
Design by adaptive sampling. CoRR (2018)
Francesco Paolo Casale, Adrian V. Dalca, Luca Saglietti, Jennifer Listgarten, Nicoló Fusi
Gaussian Process Prior Variational Autoencoders. NeurIPS (2018)
Francesco Paolo Casale, Adrian V. Dalca, Luca Saglietti, Jennifer Listgarten, Nicoló Fusi
Gaussian Process Prior Variational Autoencoders. CoRR (2018)
Nicoló Fusi, Jennifer Listgarten
Flexible Modeling of Genetic Effects on Function-Valued Traits. J. Comput. Biol. 24 (6) (2017)
Nicoló Fusi, Jennifer Listgarten
Flexible Modelling of Genetic Effects on Function-Valued Traits. RECOMB (2016)
Joel T. Dudley, Jennifer Listgarten, Oliver Stegle, Steven E. Brenner, Leopold Parts
Session introduction. Pacific Symposium on Biocomputing (2015)
Jennifer Listgarten, Oliver Stegle, Quaid Morris, Steven E. Brenner, Leopold Parts
Session introduction. Pacific Symposium on Biocomputing (2014)
Christoph Lippert, Jing Xiang, Danilo Horta, Christian Widmer, Carl Myers Kadie, David Heckerman, Jennifer Listgarten
Greater power and computational efficiency for kernel-based association testing of sets of genetic variants. Bioinform. 30 (22) (2014)
Oliver Stegle, Steven E. Brenner, Quaid Morris, Jennifer Listgarten
Session introduction. Pacific Symposium on Biocomputing (2013)
Quaid Morris, Steven E. Brenner, Jennifer Listgarten, Oliver Stegle
The Future of Genome-Based Medicine. Pacific Symposium on Biocomputing (2013)
Jennifer Listgarten, Christoph Lippert, Eun Yong Kang, Jing Xiang, Carl Myers Kadie, David Heckerman
A powerful and efficient set test for genetic markers that handles confounders. Bioinform. 29 (12) (2013)
Jennifer Listgarten, David Heckerman
Determining the Number of Non-Spurious Arcs in a Learned DAG Model: Investigation of a Bayesian and a Frequentist Approach CoRR (2012)
Oliver Stegle, Frederick P. Roth, Quaid Morris, Jennifer Listgarten
Session introduction. Pacific Symposium on Biocomputing (2012)
Jennifer Listgarten, Carl Myers Kadie, Eric E. Schadt, David Heckerman
Correction for Hidden Confounders in the Genetic Analysis of Gene Expression (Abstract). UAI (2011)
Jennifer Listgarten, Zabrina L. Brumme, Carl Myers Kadie, Gao Xiaojiang, Bruce D. Walker, Mary Carrington, Philip J. R. Goulder, David Heckerman
Statistical Resolution of Ambiguous HLA Typing Data. PLoS Comput. Biol. 4 (2) (2008)
Jennifer Listgarten, Radford M. Neal, Sam T. Roweis, Peter Wong, Andrew Emili
Difference detection in LC-MS data for protein biomarker discovery. Bioinform. 23 (2) (2007)
David Heckerman, Carl Myers Kadie, Jennifer Listgarten
Leveraging Information Across HLA Alleles/Supertypes Improves Epitope Prediction. J. Comput. Biol. 14 (6) (2007)
Jennifer Listgarten, David Heckerman
Determining the Number of Non-Spurious Arcs in a Learned DAG Model: Investigation of a Bayesian and a Frequentist Approach. UAI (2007)
Jennifer Listgarten, Nicole Frahm, Carl Myers Kadie, Christian Brander, David Heckerman
A Statistical Framework for Modeling HLA-Dependent T Cell Response Data. PLoS Comput. Biol. 3 (10) (2007)
Jennifer Listgarten, Radford M. Neal, Sam T. Roweis, Rachel Puckrin, Sean Cutler
Bayesian Detection of Infrequent Differences in Sets of Time Series with Shared Structure. NIPS (2006)
David Heckerman, Carl Myers Kadie, Jennifer Listgarten
Leveraging Information Across HLA Alleles/Supertypes Improves Epitope Prediction. RECOMB (2006)
Jennifer Listgarten, Radford M. Neal, Sam T. Roweis, Andrew Emili
Multiple Alignment of Continuous Time Series. NIPS (2004)