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ORCIDJennifer Listgarten
Person information
- affiliation: University of California, Berkeley, CA, USA
- affiliation: University of Toronto, Canada
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2020 – today
- 2024
[i11]Hunter Nisonoff, Junhao Xiong, Stephan Allenspach, Jennifer Listgarten:
Unlocking Guidance for Discrete State-Space Diffusion and Flow Models. CoRR abs/2406.01572 (2024)- 2023
- [i10]Clara Fannjiang, Jennifer Listgarten:
Is novelty predictable? CoRR abs/2306.00872 (2023) - [i9]Jennifer Listgarten:
The perpetual motion machine of AI-generated data and the distraction of ChatGPT-as-scientist. CoRR abs/2312.00818 (2023) - 2022
- [i8]Clara Fannjiang, Stephen Bates, Anastasios N. Angelopoulos, Jennifer Listgarten, Michael I. Jordan:
Conformal prediction for the design problem. CoRR abs/2202.03613 (2022) - [i7]Hunter Nisonoff, Yixin Wang, Jennifer Listgarten:
Augmenting Neural Networks with Priors on Function Values. CoRR abs/2202.04798 (2022) - 2020
- [c15]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: 189-190 - [c14]Clara Fannjiang, Jennifer Listgarten:
Autofocused oracles for model-based design. NeurIPS 2020 - [i6]Clara Fannjiang, Jennifer Listgarten:
Autofocused oracles for model-based design. CoRR abs/2006.08052 (2020)
2010 – 2019
- 2019
- [c13]David H. Brookes, Hahnbeom Park, Jennifer Listgarten:
Conditioning by adaptive sampling for robust design. ICML 2019: 773-782 - [i5]David H. Brookes, Hahnbeom Park, Jennifer Listgarten:
Conditioning by adaptive sampling for robust design. CoRR abs/1901.10060 (2019) - [i4]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 abs/1905.10474 (2019) - 2018
- [c12]Francesco Paolo Casale, Adrian V. Dalca, Luca Saglietti, Jennifer Listgarten, Nicoló Fusi:
Gaussian Process Prior Variational Autoencoders. NeurIPS 2018: 10390-10401 - [i3]David H. Brookes, Jennifer Listgarten:
Design by adaptive sampling. CoRR abs/1810.03714 (2018) - [i2]Francesco Paolo Casale, Adrian V. Dalca, Luca Saglietti, Jennifer Listgarten, Nicoló Fusi:
Gaussian Process Prior Variational Autoencoders. CoRR abs/1810.11738 (2018) - 2017
- [j7]Nicoló Fusi, Jennifer Listgarten:
Flexible Modeling of Genetic Effects on Function-Valued Traits. J. Comput. Biol. 24(6): 524-535 (2017) - 2016
- [c11]Nicoló Fusi, Jennifer Listgarten:
Flexible Modelling of Genetic Effects on Function-Valued Traits. RECOMB 2016: 95-110 - 2015
- [c10]Joel T. Dudley, Jennifer Listgarten, Oliver Stegle, Steven E. Brenner, Leopold Parts:
Session introduction. Pacific Symposium on Biocomputing 2015: 342-346 - 2014
- [j6]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): 3206-3214 (2014) - [c9]Jennifer Listgarten, Oliver Stegle, Quaid Morris, Steven E. Brenner, Leopold Parts:
Session introduction. Pacific Symposium on Biocomputing 2014: 247-249 - 2013
- [j5]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): 1526-1533 (2013) - [c8]Oliver Stegle, Steven E. Brenner, Quaid Morris, Jennifer Listgarten:
Session introduction. Pacific Symposium on Biocomputing 2013: 171-174 - [c7]Quaid Morris, Steven E. Brenner, Jennifer Listgarten, Oliver Stegle:
The Future of Genome-Based Medicine. Pacific Symposium on Biocomputing 2013: 456-458 - 2012
- [c6]Oliver Stegle, Frederick P. Roth, Quaid Morris, Jennifer Listgarten:
Session introduction. Pacific Symposium on Biocomputing 2012: 323-326 - [i1]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 abs/1206.5269 (2012) - 2011
- [c5]Jennifer Listgarten, Carl Myers Kadie, Eric E. Schadt, David Heckerman:
Correction for Hidden Confounders in the Genetic Analysis of Gene Expression (Abstract). UAI 2011: 852
2000 – 2009
- 2008
- [j4]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) - 2007
- [b1]Jennifer Listgarten:
Analysis of sibling time series data: Alignment and difference detection. University of Toronto, Canada, 2007 - [j3]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): 198-204 (2007) - [j2]David Heckerman, Carl Myers Kadie, Jennifer Listgarten:
Leveraging Information Across HLA Alleles/Supertypes Improves Epitope Prediction. J. Comput. Biol. 14(6): 736-746 (2007) - [j1]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) - [c4]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: 251-258 - 2006
- [c3]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: 905-912 - [c2]David Heckerman, Carl Myers Kadie, Jennifer Listgarten:
Leveraging Information Across HLA Alleles/Supertypes Improves Epitope Prediction. RECOMB 2006: 296-308 - 2004
- [c1]Jennifer Listgarten, Radford M. Neal, Sam T. Roweis, Andrew Emili:
Multiple Alignment of Continuous Time Series. NIPS 2004: 817-824
Coauthor Index
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