Pankaj Mehta

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David J. SchwabITS, CUNY Graduate CenterVerified email at gc.cuny.edu
Charles K. FisherUnlearn.aiVerified email at unlearnai.com
Alex H. LangDirector of Perception-Prediction at MotionalVerified email at motional.com
Robert Marsland IIIPontifical University of the Holy CrossVerified email at alum.mit.edu
Marin BukovSofia UniversityVerified email at phys.uni-sofia.bg
Alexandre DayPhD, Physics, Boston UniversityVerified email at bu.edu
Ned S. WingreenProfessor of Molecular Biology, Princeton UniversityVerified email at princeton.edu
Wenping CuiUniversity of California Santa BarbaraVerified email at kitp.ucsb.edu
Dries SelsNew York University -- Flatiron InstituteVerified email at nyu.edu
Anatoli PolkovnikovBoston UniversityVerified email at bu.edu
Ching-Hao WangAI/ML at GlaxoSmithKlineVerified email at gsk.com
Daniel SegrèProfessor at Boston University, Biology, Biomedical Engineering, Physics, BioinformaticsVerified email at bu.edu
Natan AndreiDistinguished Professor of Physics, Rutgers UniversityVerified email at physics.rutgers.edu
Joshua GoldfordPhysics of Living Systems, MITVerified email at mit.edu
Tao LongSanford Burnham Prebys Medical Discovery InstituteVerified email at sbpdiscovery.org
Alvaro SanchezGroup Leader, Dept. of Microbial Biotechnology, CNB-CSICVerified email at cnb.csic.es
Javad NoorbakhshComputational Scientist, Broad Institute of MIT and HarvardVerified email at bu.edu
Sidhartha GoyalDepartment of Physics, University of TorontoVerified email at physics.utoronto.ca
Allyson E. SgroGroup Leader at HHMI's Janelia Research CampusVerified email at janelia.hhmi.org
Darrell KottonProfessor of MedicineVerified email at bu.edu

Pankaj Mehta

Professor, Physics, Boston University

Verified email at bu.edu - Homepage

Biological Physics Statistical Physics Theoretical Biology Machine Learning Condensed Matter Physics


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A high-bias, low-variance introduction to machine learning for physicists P Mehta, M Bukov, CH Wang, AGR Day, C Richardson, CK Fisher, ... Physics reports 810, 1-124, 2019	631	2019
Emergent simplicity in microbial community assembly JE Goldford, N Lu, D Bajić, S Estrela, M Tikhonov, A Sanchez-Gorostiaga, ... Science 361 (6401), 469-474, 2018	491	2018
Metabolic resource allocation in individual microbes determines ecosystem interactions and spatial dynamics WR Harcombe, WJ Riehl, I Dukovski, BR Granger, A Betts, AH Lang, ... Cell reports 7 (4), 1104-1115, 2014	420	2014
An exact mapping between the variational renormalization group and deep learning P Mehta, DJ Schwab arXiv preprint arXiv:1410.3831, 2014	279	2014
Reinforcement Learning in Different Phases of Quantum Control M Bukov, AGR Day, D Sels, P Weinberg, A Polkovnikov, P Mehta Physical Review X 8, 031086, 2018	273	2018
Identifying keystone species in the human gut microbiome from metagenomic timeseries using sparse linear regression CK Fisher, P Mehta PloS one 9 (7), e102451, 2014	259	2014
Nonequilibrium transport in quantum impurity models: The bethe ansatz for open systems P Mehta, N Andrei Physical review letters 96 (21), 216802, 2006	244	2006
A quantitative comparison of sRNA‐based and protein‐based gene regulation P Mehta, S Goyal, NS Wingreen Molecular systems biology 4 (1), 221, 2008	221	2008
Energetic costs of cellular computation P Mehta, DJ Schwab Proceedings of the National Academy of Sciences 109 (44), 17978-17982, 2012	205	2012
Information processing and signal integration in bacterial quorum sensing P Mehta, S Goyal, T Long, BL Bassler, NS Wingreen Molecular systems biology 5 (1), 325, 2009	202	2009
Quantifying the integration of quorum-sensing signals with single-cell resolution T Long, KC Tu, Y Wang, P Mehta, NP Ong, BL Bassler, NS Wingreen PLoS biology 7 (3), e1000068, 2009	196	2009
Geometry and non-adiabatic response in quantum and classical systems M Kolodrubetz, D Sels, P Mehta, A Polkovnikov Physics Reports 697, 1-87, 2017	167	2017
The transition between the niche and neutral regimes in ecology CK Fisher, P Mehta Proceedings of the National Academy of Sciences 111 (36), 13111-13116, 2014	138	2014
Zipf’s law and criticality in multivariate data without fine-tuning DJ Schwab, I Nemenman, P Mehta Physical review letters 113 (6), 068102, 2014	120	2014
Epigenetic landscapes explain partially reprogrammed cells and identify key reprogramming genes AH Lang, H Li, JJ Collins, P Mehta PLoS computational biology 10 (8), e1003734, 2014	113	2014
Regular and singular Fermi-liquid fixed points in quantum impurity models P Mehta, N Andrei, P Coleman, L Borda, G Zarand Physical Review B 72 (1), 014430, 2005	94	2005
Thermodynamics of statistical inference by cells AH Lang, CK Fisher, T Mora, P Mehta Physical review letters 113 (14), 148103, 2014	93	2014
Emergence of a stage-dependent human liver disease signature with directed differentiation of alpha-1 antitrypsin-deficient iPS cells AA Wilson, L Ying, M Liesa, CP Segeritz, JA Mills, SS Shen, J Jean, ... Stem cell reports 4 (5), 873-885, 2015	85	2015
Active regulation of receptor ratios controls integration of quorum‐sensing signals in Vibrio harveyi SW Teng, JN Schaffer, KC Tu, P Mehta, W Lu, NP Ong, BL Bassler, ... Molecular systems biology 7 (1), 491, 2011	82	2011
Available energy fluxes drive a transition in the diversity, stability, and functional structure of microbial communities R Marsland III, W Cui, J Goldford, A Sanchez, K Korolev, P Mehta PLoS computational biology 15 (2), e1006793, 2019	75	2019

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