Jennifer Listgarten

39 papers A* 4A 2B 2Misc 5Journal 22Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Guide your favorite protein sequence generative model. CoRR Junhao Xiong, Hunter Nisonoff, Maria Lukarska, Ishan Gaur, Luke M. Oltrogge, David F. Savage, Jennifer Listgarten
2025	J	`jnl`	Leveraging Discrete Function Decomposability for Scientific Design. CoRR James C. Bowden, Sergey Levine, Jennifer Listgarten
2025	A*	`conf`	Unlocking Guidance for Discrete State-Space Diffusion and Flow Models. ICLR Hunter Nisonoff, Junhao Xiong, Stephan Allenspach, Jennifer Listgarten
2024	J	`jnl`	GENTANGLE: integrated computational design of gene entanglements. Bioinform. Jose Manuel Martí, Chloe Hsu, Charlotte Rochereau, Chenling Xu, Tomasz Blazejewski, Hunter Nisonoff, Sean P. Leonard, Christina S. Kang-Yun, Jennifer Chlebek, Dante P. Ricci, Dan Park, Harris Wang, Jennifer Listgarten, Yongqin Jiao, Jonathan E. Allen
2024	J	`jnl`	Machine Learning for Protein-Protein and Protein-Ligand Interactions (Dagstuhl Seminar 24451). Dagstuhl Reports Anne-Florence Bitbol, Jennifer Listgarten, Tomás Pluskal, Anton Bushuiev, Roman Bushuiev
2024	J	`jnl`	Unlocking Guidance for Discrete State-Space Diffusion and Flow Models. CoRR Hunter Nisonoff, Junhao Xiong, Stephan Allenspach, Jennifer Listgarten
2023	J	`jnl`	Is novelty predictable? CoRR Clara Fannjiang, Jennifer Listgarten
2023	J	`jnl`	The perpetual motion machine of AI-generated data and the distraction of ChatGPT-as-scientist. CoRR Jennifer Listgarten
2022	J	`jnl`	Augmenting Neural Networks with Priors on Function Values. CoRR Hunter Nisonoff, Yixin Wang, Jennifer Listgarten
2022	J	`jnl`	Conformal prediction for the design problem. CoRR Clara Fannjiang, Stephen Bates, Anastasios N. Angelopoulos, Jennifer Listgarten, Michael I. Jordan
2020	—	`conf`	A view of estimation of distribution algorithms through the lens of expectation-maximization. GECCO Companion David H. Brookes, Akosua Busia, Clara Fannjiang, Kevin Murphy, Jennifer Listgarten
2020	A*	`conf`	Autofocused oracles for model-based design. NeurIPS Clara Fannjiang, Jennifer Listgarten
2020	J	`jnl`	Autofocused oracles for model-based design. CoRR Clara Fannjiang, Jennifer Listgarten
2019	J	`jnl`	A view of Estimation of Distribution Algorithms through the lens of Expectation-Maximization. CoRR David H. Brookes, Akosua Busia, Clara Fannjiang, Kevin Murphy, Jennifer Listgarten
2019	A*	`conf`	Conditioning by adaptive sampling for robust design. ICML David H. Brookes, Hahnbeom Park, Jennifer Listgarten
2019	J	`jnl`	Conditioning by adaptive sampling for robust design. CoRR David H. Brookes, Hahnbeom Park, Jennifer Listgarten
2018	J	`jnl`	Design by adaptive sampling. CoRR David H. Brookes, Jennifer Listgarten
2018	A*	`conf`	Gaussian Process Prior Variational Autoencoders. NeurIPS Francesco Paolo Casale, Adrian V. Dalca, Luca Saglietti, Jennifer Listgarten, Nicoló Fusi
2018	J	`jnl`	Gaussian Process Prior Variational Autoencoders. CoRR Francesco Paolo Casale, Adrian V. Dalca, Luca Saglietti, Jennifer Listgarten, Nicoló Fusi
2017	J	`jnl`	Flexible Modeling of Genetic Effects on Function-Valued Traits. J. Comput. Biol. Nicoló Fusi, Jennifer Listgarten
2016	B	`conf`	Flexible Modelling of Genetic Effects on Function-Valued Traits. RECOMB Nicoló Fusi, Jennifer Listgarten
2015	Misc	`conf`	Session introduction. Pacific Symposium on Biocomputing Joel T. Dudley, Jennifer Listgarten, Oliver Stegle, Steven E. Brenner, Leopold Parts
2014	J	`jnl`	Greater power and computational efficiency for kernel-based association testing of sets of genetic variants. Bioinform. Christoph Lippert, Jing Xiang, Danilo Horta, Christian Widmer, Carl Myers Kadie, David Heckerman, Jennifer Listgarten
2014	Misc	`conf`	Session introduction. Pacific Symposium on Biocomputing Jennifer Listgarten, Oliver Stegle, Quaid Morris, Steven E. Brenner, Leopold Parts
2013	J	`jnl`	A powerful and efficient set test for genetic markers that handles confounders. Bioinform. Jennifer Listgarten, Christoph Lippert, Eun Yong Kang, Jing Xiang, Carl Myers Kadie, David Heckerman
2013	Misc	`conf`	Session introduction. Pacific Symposium on Biocomputing Oliver Stegle, Steven E. Brenner, Quaid Morris, Jennifer Listgarten
2013	Misc	`conf`	The Future of Genome-Based Medicine. Pacific Symposium on Biocomputing Quaid Morris, Steven E. Brenner, Jennifer Listgarten, Oliver Stegle
2012	J	`jnl`	Determining the Number of Non-Spurious Arcs in a Learned DAG Model: Investigation of a Bayesian and a Frequentist Approach CoRR Jennifer Listgarten, David Heckerman
2012	Misc	`conf`	Session introduction. Pacific Symposium on Biocomputing Oliver Stegle, Frederick P. Roth, Quaid Morris, Jennifer Listgarten
2011	A	`conf`	Correction for Hidden Confounders in the Genetic Analysis of Gene Expression (Abstract). UAI Jennifer Listgarten, Carl Myers Kadie, Eric E. Schadt, David Heckerman
2008	J	`jnl`	Statistical Resolution of Ambiguous HLA Typing Data. PLoS Comput. Biol. Jennifer Listgarten, Zabrina L. Brumme, Carl Myers Kadie, Gao Xiaojiang, Bruce D. Walker, Mary Carrington, Philip J. R. Goulder, David Heckerman
2007	J	`jnl`	A Statistical Framework for Modeling HLA-Dependent T Cell Response Data. PLoS Comput. Biol. Jennifer Listgarten, Nicole Frahm, Carl Myers Kadie, Christian Brander, David Heckerman
2007	—	`—`	Analysis of sibling time series data: Alignment and difference detection. Jennifer Listgarten
2007	A	`conf`	Determining the Number of Non-Spurious Arcs in a Learned DAG Model: Investigation of a Bayesian and a Frequentist Approach. UAI Jennifer Listgarten, David Heckerman
2007	J	`jnl`	Difference detection in LC-MS data for protein biomarker discovery. Bioinform. Jennifer Listgarten, Radford M. Neal, Sam T. Roweis, Peter Wong, Andrew Emili
2007	J	`jnl`	Leveraging Information Across HLA Alleles/Supertypes Improves Epitope Prediction. J. Comput. Biol. David Heckerman, Carl Myers Kadie, Jennifer Listgarten
2006	—	`conf`	Bayesian Detection of Infrequent Differences in Sets of Time Series with Shared Structure. NIPS Jennifer Listgarten, Radford M. Neal, Sam T. Roweis, Rachel Puckrin, Sean Cutler
2006	B	`conf`	Leveraging Information Across HLA Alleles/Supertypes Improves Epitope Prediction. RECOMB David Heckerman, Carl Myers Kadie, Jennifer Listgarten
2004	—	`conf`	Multiple Alignment of Continuous Time Series. NIPS Jennifer Listgarten, Radford M. Neal, Sam T. Roweis, Andrew Emili