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Barnabás Póczos

carnegie mellon university

53H-index
311Paper Count
1.1WCitation Count
Published Papers 20
Publication Date
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Bayesian machine learning for inverse design of ultra-high-performance concrete
errPHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
IF3.7
err2025-09-25
err0
PREAI
errChilds, Christopher; Miller, Aaron; Neiswanger, Willie; Poczos, Barnabas; Stewart, Lauren; Kurtis, Kimberly; Washburn, Newell
errShare
errSave
Recovering time-varying networks from single-cell data
errBIOINFORMATICS
IF5.4
err2025-07-01
err1
errOAAI
errHasanaj, Euxhen; Poczos, Barnabas; Bar-Joseph, Ziv
errShare
errSave
Diffusion Models in De Novo Drug Design
errJOURNAL OF CHEMICAL INFORMATION AND MODELING
IF5.3
err2024-09-25
err5
errOAAI
errAlakhdar, Amira; Poczos, Barnabas; Washburn, Newell
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errSave
Multiset multicover methods for discriminative marker selection
errCELL REPORTS METHODS
IF4.5
err2022-11-01
err0
errOAAI
errHasanaj, Euxhen; Alavi, Amir; Gupta, Anupam; Poczos, Barnabas; Bar-Joseph, Ziv
errShare
errSave
Deep generative models for galaxy image simulations
errMONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
IF4.8
err2021-05-04
err27
errOAAI
errLanusse, Francois; Mandelbaum, Rachel; Ravanbakhsh, Siamak; Li, Chun-Liang; Freeman, Peter; Poczos, Barnabas
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errSave
Autonomous Discovery of Battery Electrolytes with Robotic Experimentation and Machine Learning
errCELL REPORTS PHYSICAL SCIENCE
IF7.3
err2020-12-01
err114
errOAAI
errDave, Adarsh; Mitchell, Jared; Kandasamy, Kirthevasan; Wang, Han; Burke, Sven; Paria, Biswajit; Poczos, Barnabas; Whitacre, Jay; Viswanathan, Venkatasubramanian
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errSave
Hierarchical Machine Learning for High-Fidelity 3D Printed Biopolymers
errACS BIOMATERIALS SCIENCE & ENGINEERING
IF5.5
err2020-11-20
err66
PREAI
errBone, Jennifer M.; Childs, Christopher M.; Menon, Aditya; Poczos, Barnabas; Feinberg, Adam W.; LeDuc, Philip R.; Washburn, Newell R.
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errSave
Cheminformatics for accelerated design of chemical admixtures
errCEMENT AND CONCRETE RESEARCH
IF13.1
err2020-10-01
err7
errOAAI
errChilds, Christopher M.; Canbek, Ogulcan; Kirby, Tia M.; Zhang, Cheng; Zheng, Jiangnan; Szeto, Connor; Poczos, Barnabas; Kurtis, Kimberly E.; Washburn, Newell R.
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errSave
Learning to predict the cosmological structure formation
errPROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
IF9.1
err2019-06-24
err155
errOAAI
errHe, Siyu; Li, Yin; Feng, Yu; Ho, Shirley; Ravanbakhsh, Siamak; Chen, Wei; Poczos, Barnabas
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errSave
CMU DeepLens: deep learning for automatic image-based galaxy-galaxy strong lens finding
errMONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
IF4.8
err2017-07-07
err147
errOAAI
errLanusse, Francois; Ma, Quanbin; Li, Nan; Collett, Thomas E.; Li, Chun-Liang; Ravanbakhsh, Siamak; Mandelbaum, Rachel; Poczos, Barnabas
errShare
errSave
Query efficient posterior estimation in scientific experiments via Bayesian active learning
errartificial intelligence review
IF4.6
err2017-02-01
err23
errOAAI
errKandasamy, Kirthevasan; Schneider, Jeff; Poczos, Barnabas
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errSave
Elucidating multi-physics interactions in suspensions for the design of polymeric dispersants: a hierarchical machine learning approach
errMOLECULAR SYSTEMS DESIGN & ENGINEERING
IF3.2
err2017-01-01
err26
PREAI
errMenon, Aditya; Gupta, Chetali; Perkins, Kedar M.; DeCost, Brian L.; Budwal, Nikita; Rios, Renee T.; Zhang, Kun; Poczos, Barnabas; Washburn, Newell R.
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errSave
DYNAMICAL MASS MEASUREMENTS OF CONTAMINATED GALAXY CLUSTERS USING MACHINE LEARNING
errASTROPHYSICAL JOURNAL
IF5.4
err2016-11-03
err49
errOAAI
errNtampaka, M.; Trac, H.; Sutherland, D. J.; Fromenteau, S.; Poczos, B.; Schneider, J.
errShare
errSave
Exploration and evaluation of AR, MPCA and KL anomaly detection techniques to embankment dam piezometer data
errADVANCED ENGINEERING INFORMATICS
IF9.9
err2015-10-01
err26
errOAAI
errJung, In-Soo; Berges, Mario; Garrett, James H., Jr.; Poczos, Barnabas
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errSave
A MACHINE LEARNING APPROACH FOR DYNAMICAL MASS MEASUREMENTS OF GALAXY CLUSTERS
errASTROPHYSICAL JOURNAL
IF5.4
err2015-04-14
err72
errOAAI
errNtampaka, M.; Trac, H.; Sutherland, D. J.; Battaglia, N.; Poczos, B.; Schneider, J.
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errSave
A FIRST LOOK AT CREATING MOCK CATALOGS WITH MACHINE LEARNING TECHNIQUES
errASTROPHYSICAL JOURNAL
IF5.4
err2013-07-17
err28
errOAAI
errXu, Xiaoying; Ho, Shirley; Trac, Hy; Schneider, Jeff; Poczos, Barnabas; Ntampaka, Michelle
errShare
errSave
Separation theorem for independent subspace analysis and its consequences
errPATTERN RECOGNITION
IF7.6
err2012-04-01
err33
errOAAI
errSzabo, Zoltan; Poczos, Barnabas; Lorincz, Andras
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errSave
Auto-regressive independent process analysis without combinatorial efforts
errPATTERN ANALYSIS AND APPLICATIONS
IF2
err2009-11-22
err2
PREAI
errSzabo, Zoltan; Poczos, Barnabas; Lorincz, Andras
errShare
errSave
Non-combinatorial estimation of independent autoregressive sources
errNEUROCOMPUTING
IF6.5
err2006-10-01
err5
PREAI
errPoczos, Barnabas; Lorincz, Andras
errShare
errSave
Neural Kalman filter
errNEUROCOMPUTING
IF6.5
err2005-06-01
err13
PREAI
errSzirtes, G; Póczos, B; Lorincz, A
errShare
errSave

Research Directions

No research directions
Co-authors
Cooperation Journals
S
Shirley Ho
H-index: 75 · Papers: 334
R
Rachel Mandelbaum
H-index: 71 · Papers: 351
Z
Ziv Bar‐Joseph
H-index: 65 · Papers: 279
V
Venkatasubramanian Viswanathan
H-index: 58 · Papers: 341
张昆 cover
张昆 (Kun Zhang)
H-index: 54 · Papers: 995
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