Jeremy Zucker

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All published works
Action Title Year Authors
+ Perspectives for self-driving labs in synthetic biology 2023 Héctor García Martín
Tijana Radivojević
Jeremy Zucker
Kristofer E. Bouchard
Jess Sustarich
Sean Peisert
Dan Arnold
Nathan J. Hillson
G. Babnigg
Jose Manuel Martí
+ Do-calculus enables estimation of causal effects in partially observed biomolecular pathways 2022 Sara Mohammad-Taheri
Jeremy Zucker
Charles Tapley Hoyt
Karen Sachs
Vartika Tewari
Robert Osazuwa Ness
Olga Vitek
+ Perspectives for self-driving labs in synthetic biology 2022 Héctor García Martín
Tijana Radivojević
Jeremy Zucker
Kristofer E. Bouchard
Jess Sustarich
Sean Peisert
Dan Arnold
Nathan J. Hillson
G. Babnigg
Jose Manuel Martí
+ Experimental design for causal query estimation in partially observed biomolecular networks 2022 Sara Mohammad-Taheri
Vartika Tewari
Rohan Kapre
Ehsan Rahiminasab
Karen Sachs
Charles Tapley Hoyt
Jeremy Zucker
Olga Vitek
+ Do-calculus enables causal reasoning with latent variable models 2021 Sara Mohammad-Taheri
Robert Osazuwa Ness
Jeremy Zucker
Olga Vitek
+ PDF Chat Leveraging Structured Biological Knowledge for Counterfactual Inference: A Case Study of Viral Pathogenesis 2021 Jeremy Zucker
Kaushal Paneri
Sara Mohammad-Taheri
Somya Bhargava
Pallavi Kolambkar
Craig Bakker
Jeremy Teuton
Charles Tapley Hoyt
Kristie Oxford
Robert Osazuwa Ness
+ Leveraging Structured Biological Knowledge for Counterfactual Inference: a Case Study of Viral Pathogenesis 2021 Jeremy Zucker
Kaushal Paneri
Sara Mohammad-Taheri
Somya Bhargava
Pallavi Kolambkar
Craig Bakker
Jeremy Teuton
Charles Tapley Hoyt
Kristie Oxford
Robert Osazuwa Ness
+ Leveraging Structured Biological Knowledge for Counterfactual Inference: a Case Study of Viral Pathogenesis 2021 Jeremy Zucker
Kaushal Paneri
Sara Mohammad-Taheri
Somya Bhargava
Pallavi Kolambkar
Craig Bakker
Jeremy Teuton
Charles Tapley Hoyt
Kristie Oxford
Robert A. Van Ness
+ Do-calculus enables estimation of causal effects in partially observed biomolecular pathways 2021 Sara Mohammad-Taheri
Jeremy Zucker
Charles Tapley Hoyt
Karen Sachs
Vartika Tewari
Robert A. Van Ness
and Olga Vitek
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ Exact stochastic simulation of coupled chemical reactions 1977 Daniel T. Gillespie
4
+ Stochastic variational inference 2013 Matthew D. Hoffman
David M. Blei
Chong Wang
John Paisley
3
+ PDF Chat Riemann Manifold Langevin and Hamiltonian Monte Carlo Methods 2011 Mark Girolami
Ben Calderhead
2
+ From Random Differential Equations to Structural Causal Models: the stochastic case 2018 Stephan Bongers
Joris M. Mooij
2
+ CORD-19: The COVID-19 Open Research Dataset 2020 Lucy Lu Wang
Kyle Lo
Yoganand Chandrasekhar
Russell Reas
Jiangjiang Yang
Darrin Eide
Kathryn Funk
Rodney Kinney
Ziyang Liu
William Merrill
2
+ Solving Differential Equations in<i>R</i>: Package<b>deSolve</b> 2010 Karline Soetaert
Thomas Petzoldt
R. Woodrow Setzer
2
+ Full Law Identification in Graphical Models of Missing Data: Completeness Results. 2020 Razieh Nabi
Rohit Bhattacharya
Ilya Shpitser
2
+ Causal diagrams for empirical research 1995 Judea Pearl
2
+ Identification and Estimation Of Causal Effects from Dependent Data. 2018 Eli Sherman
Ilya Shpitser
2
+ Pyro: Deep Universal Probabilistic Programming 2018 Eli Bingham
Jonathan P. Chen
Martin Jankowiak
Fritz Obermeyer
Neeraj Pradhan
Theofanis Karaletsos
Rohit Singh
Paul Szerlip
Paul Horsfall
Noah D. Goodman
2
+ PDF Chat Identifying Causal Effects with the <i>R</i> Package <b>causaleffect</b> 2017 Santtu Tikka
Juha Karvanen
2
+ Interventions and Causal Inference 2007 Frederick Eberhardt
Richard Scheines
2
+ PDF Chat Leveraging Structured Biological Knowledge for Counterfactual Inference: A Case Study of Viral Pathogenesis 2021 Jeremy Zucker
Kaushal Paneri
Sara Mohammad-Taheri
Somya Bhargava
Pallavi Kolambkar
Craig Bakker
Jeremy Teuton
Charles Tapley Hoyt
Kristie Oxford
Robert Osazuwa Ness
2
+ The No-U-turn sampler: adaptively setting path lengths in Hamiltonian Monte Carlo 2014 Matthew D. Homan
Andrew Gelman
2
+ Pyro: Deep Universal Probabilistic Programming 2018 Eli Bingham
Jonathan P. Chen
Martin Jankowiak
Fritz Obermeyer
Neeraj Pradhan
Theofanis Karaletsos
Rohit Singh
Paul Szerlip
Paul Horsfall
Noah D. Goodman
2
+ PDF Chat The Blessings of Multiple Causes 2019 Zhaoran Wang
David M. Blei
2
+ Integrating Markov processes with structural causal modeling enables counterfactual inference in complex systems 2019 Robert Osazuwa Ness
Kaushal Paneri
Olga Vitek
2
+ PDF Chat Exploring behaviors of stochastic differential equation models of biological systems using change of measures 2012 Sumit Kumar Jha
Christopher J. Langmead
2
+ PDF Chat Chain Graph Models and their Causal Interpretations 2002 Steffen L. Lauritzen
Thomas S. Richardson
2
+ PDF Chat Causal inference and the data-fusion problem 2016 Elias Bareinboim
Judea Pearl
2
+ PDF Chat Graphical methods for inequality constraints in marginalized DAGs 2012 Robin J. Evans
1
+ PDF Chat A Bayesian machine scientist to aid in the solution of challenging scientific problems 2020 Roger Guimerà
I. Reichardt
Antoni Aguilar‐Mogas
Francesco Alessandro Massucci
Manuel Miranda
Jordi Pallarès
Marta Sales‐Pardo
1
+ Estimation of causal effects with small data under implicit functional constraints 2020 Jouni Helske
Santtu Tikka
Juha Karvanen
1
+ Semiparametric Inference For Causal Effects In Graphical Models With Hidden Variables 2020 Rohit Bhattacharya
Razieh Nabi
Ilya Shpitser
1
+ Identification Methods With Arbitrary Interventional Distributions as Inputs 2020 Jaron J. R. Lee
Ilya Shpitser
1
+ Full Law Identification In Graphical Models Of Missing Data: Completeness Results 2020 Razieh Nabi
Rohit Bhattacharya
Ilya Shpitser
1
+ PDF Chat Self-driving laboratory for accelerated discovery of thin-film materials 2020 Benjamin P. MacLeod
Fraser G. L. Parlane
Thomas D. Morrissey
Florian Häse
Loı̈c M. Roch
Kevan E. Dettelbach
Raphaell Moreira
Lars P. E. Yunker
Michael B. Rooney
Joseph R. Deeth
1
+ Estimation of causal effects with small data in the presence of trapdoor variables 2020 Jouni Helske
Santtu Tikka
Juha Karvanen
1
+ PDF Chat Machine Learning Conservation Laws from Trajectories 2021 Ziming Liu
Max Tegmark
1
+ Autonomous Discovery of Battery Electrolytes with Robotic Experimentation and Machine Learning 2020 Adarsh Dave
Jared Mitchell
Kirthevasan Kandasamy
Han Wang
Sven Burke
Biswajit Paria
Barnabás Póczos
Jay Whitacre
Venkatasubramanian Viswanathan
1
+ Learning Causal Effects via Weighted Empirical Risk Minimization 2020 Yonghan Jung
Jin Tian
Elias Bareinboim
1
+ Physics-informed neural networks (PINNs) for fluid mechanics: a review 2021 Shengze Cai
Zhiping Mao
Zhicheng Wang
Minglang Yin
George Em Karniadakis
1
+ Gibbs Sampling 2000 Alan E. Gelfand
1
+ Full Law Identification In Graphical Models Of Missing Data: Completeness Results 2020 Razieh Nabi
Rohit Bhattacharya
Ilya Shpitser
1
+ Integrating Markov processes with structural causal modeling enables counterfactual inference in complex systems 2019 Robert Osazuwa Ness
Kaushal Paneri
Olga Vitek
1
+ Beyond Structural Causal Models: Causal Constraints Models 2018 Tineke Blom
Stephan Bongers
Joris M. Mooij
1
+ Stochastic Variational Inference 2012 Matt Hoffman
David M. Blei
Chong Wang
John Paisley
1
+ Identification of joint interventional distributions in recursive semi-Markovian causal models 2006 Ilya Shpitser
Judea Pearl
1
+ Neurosymbolic AI: The 3rd Wave 2020 Artur S. d’Avila Garcez
Luís C. Lamb
1
+ PDF Chat Graphs for Margins of Bayesian Networks 2015 Robin J. Evans
1
+ Stochastic Gradient VB and the Variational Auto-Encoder 2013 Diederik P. Kingma
Max Welling
1
+ The Markov chain Monte Carlo method: an approach to approximate counting and integration 1996 Mark Jerrum
Alistair Sinclair
1
+ Pearl's Calculus of Intervention Is Complete 2012 Yimin Huang
Marco Valtorta
1
+ Stochastic Back-propagation and Variational Inference in Deep Latent Gaussian Models. 2014 Danilo Jimenez Rezende
Shakir Mohamed
Daan Wierstra
1
+ Stochastic Backpropagation and Approximate Inference in Deep Generative Models 2014 Danilo Jimenez Rezende
Shakir Mohamed
Daan Wierstra
1
+ PDF Chat Targeted Maximum Likelihood Learning 2006 Mark J. van der Laan
Daniel B. Rubin
1
+ A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect 1986 James M. Robins
1
+ PDF Chat Measurement bias and effect restoration in causal inference 2014 Manabu Kuroki
J. Pearl
1
+ Complete Identification Methods for the Causal Hierarchy 2008 Ilya Shpitser
Judea Pearl
1
+ Doubly Robust Estimation in Missing Data and Causal Inference Models 2005 Heejung Bang
James M. Robins
1