Luca Weihs

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	All	Since 2016
Citations	359	358
h-index	9	9
i10-index	9	9

180

135

20162017201820192020202112 12 64 88 168 6

Co-authors

Ali FarhadiAssociate Professor, Computer Science and Engineering, University of WashingtonVerified email at cs.uw.edu
Roozbeh MottaghiAllen Institute for Artificial IntelligenceVerified email at cs.stanford.edu
Mathias DrtonProfessor of Mathematical Statistics, Technical University of MunichVerified email at tum.de
Alvaro HerrastiResearch EngineerVerified email at allenai.org
Aniruddha KembhaviResearch Manager, PRIOR, Allen Institute of Artificial IntelligenceVerified email at allenai.org
Unnat JainPhD student, UIUCVerified email at illinois.edu
Svetlana LazebnikUniversity of Illinois at Urbana-ChampaignVerified email at illinois.edu
Alexander SchwingUniversity of Illinois at Urbana-ChampaignVerified email at illinois.edu
Oren EtzioniCEO, Allen Institute for AI (AI2)Verified email at allenai.org
Jordi SalvadorAllen Institute for Artificial IntelligenceVerified email at allenai.org
Dustin SchwenkResearch Engineer, Allen Institute for Artificial IntelligenceVerified email at allenai.org
Mark YatskarAllen Institute for Artificial IntelligenceVerified email at cs.washington.edu
Nicolai MeinshausenProfessor of Statistics, ETH ZurichVerified email at stat.math.ethz.ch
Dennis LeungUniversity of Southern CaliforniaVerified email at uw.edu
Elina RobevaStatistics Instructor, MITVerified email at mit.edu
Preetam NandyLinkedInVerified email at linkedin.com
Piotr ZwiernikUniversitat Pompeu FabraVerified email at upf.edu
Shaowei LinAssistant Professor, Singapore University of Technology and DesignVerified email at sutd.edu.sg
Mohammad RastegariSenior AI/ML Manager at Apple Inc.Verified email at cs.washington.edu
Kuo-Hao ZengUniversity of Washington, Computer Science & EngineeringVerified email at cs.washington.edu

Luca Weihs

Research Scientist, Allen Institute for Artificial Intelligence

Verified email at allenai.org

reinforcement learning computer vision algebraic statistics


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Ai2-thor: An interactive 3d environment for visual ai E Kolve, R Mottaghi, W Han, E VanderBilt, L Weihs, A Herrasti, D Gordon, ... arXiv preprint arXiv:1712.05474, 2019	185	2019
Symmetric rank covariances: a generalized framework for nonparametric measures of dependence L Weihs, M Drton, N Meinshausen Biometrika 105 (3), 547-562, 2018	25	2018
Generic identifiability of linear structural equation models by ancestor decomposition M Drton, L Weihs Scandinavian Journal of Statistics 43 (4), 1035-1045, 2016	24	2016
Learning to predict citation-based impact measures L Weihs, O Etzioni 2017 ACM/IEEE joint conference on digital libraries (JCDL), 1-10, 2017	21	2017
Efficient computation of the Bergsma–Dassios sign covariance L Weihs, M Drton, D Leung Computational Statistics 31 (1), 315-328, 2016	20	2016
Large-sample theory for the Bergsma-Dassios sign covariance P Nandy, L Weihs, M Drton Electronic Journal of Statistics 10 (2), 2287-2311, 2016	14	2016
Two body problem: Collaborative visual task completion U Jain, L Weihs, E Kolve, M Rastegari, S Lazebnik, A Farhadi, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	13	2019
Marginal likelihood and model selection for Gaussian latent tree and forest models M Drton, S Lin, L Weihs, P Zwiernik Bernoulli 23 (2), 1202-1232, 2017	13	2017
Robothor: An open simulation-to-real embodied ai platform M Deitke, W Han, A Herrasti, A Kembhavi, E Kolve, R Mottaghi, J Salvador, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020	10	2020
Gender trends in computer science authorship LL Wang, G Stanovsky, L Weihs, O Etzioni arXiv preprint arXiv:1906.07883, 2019	7	2019
Nested covariance determinants and restricted trek separation in Gaussian graphical models M Drton, E Robeva, L Weihs Bernoulli 26 (4), 2503-2540, 2020	6	2020
A cordial sync: Going beyond marginal policies for multi-agent embodied tasks U Jain, L Weihs, E Kolve, A Farhadi, S Lazebnik, A Kembhavi, A Schwing European Conference on Computer Vision, 471-490, 2020	4	2020
sBIC: computing the singular BIC for multiple models L Weihs, M Plummer R Package Version 0.2, 2016	3	2016
TauStar: Efficient computation of the t* statistic of Bergsma and Dassios (2014), 2015 L Weihs URL http://CRAN. R-project. org/package= TauStar. R package version 1 (0), 0	3
Allenact: A framework for embodied ai research L Weihs, J Salvador, K Kotar, U Jain, KH Zeng, R Mottaghi, A Kembhavi arXiv preprint arXiv:2008.12760, 2020	2	2020
Visual reaction: Learning to play catch with your drone KH Zeng, R Mottaghi, L Weihs, A Farhadi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020	2	2020
Determinantal generalizations of instrumental variables L Weihs, B Robinson, E Dufresne, J Kenkel, KKR McGee II, MGII Reginald, ... Journal of Causal Inference 6 (1), 2018	2	2018
SEMID: Identifiability of Linear Structural Equation Models, 2017 RF Barber, M Drton, L Weihs URL https://CRAN. R-project. org/package= SEMID. R package version 0.3 1, 0	2
Grounded Situation Recognition S Pratt, M Yatskar, L Weihs, A Farhadi, A Kembhavi European Conference on Computer Vision, 314-332, 2020	1	2020
Bridging the imitation gap by adaptive insubordination L Weihs, U Jain, J Salvador, S Lazebnik, A Kembhavi, A Schwing arXiv preprint arXiv:2007.12173, 2020	1	2020

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