David Bau

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Antonio TorralbaProfessor of Computer Science, MITDirección de correo verificada de csail.mit.edu
Bolei ZhouAssistant Professor at UCLADirección de correo verificada de ucla.edu
Jun-Yan ZhuAssistant Professor, Carnegie Mellon UniversityDirección de correo verificada de cs.cmu.edu
LN TrefethenProfessor of Numerical Analysis, University of OxfordDirección de correo verificada de maths.ox.ac.uk
Hendrik StrobeltIBM Research / MIT-IBM Watson AI LabDirección de correo verificada de strobelt.com
Leilani H. GilpinUC Santa CruzDirección de correo verificada de ucsc.edu
Lalana KagalMassachusetts Institute of TechnologyDirección de correo verificada de csail.mit.edu
Michael A. SpecterPhD in Electrical Engineering and Computer Science, Massachusetts Institute of TechnologyDirección de correo verificada de mit.edu
Aude OlivaSenior Research Scientist, CSAIL, MIT Director MIT-IBM Lab, MIT College Director IndustryDirección de correo verificada de mit.edu
Joshua B. TenenbaumMITDirección de correo verificada de mit.edu
William T. FreemanProfessor of Computer Science, MITDirección de correo verificada de mit.edu
Bill PeeblesResearch Scientist at OpenAIDirección de correo verificada de openai.com
Jonas WulffPostdoctoral Researcher, MIT CSAILDirección de correo verificada de csail.mit.edu
Alex AndonianPhD Student in EECS, MITDirección de correo verificada de mit.edu
Gunes ErkanGoogle Inc.Dirección de correo verificada de umich.edu
Scott A SafierGoogle (formerly Carnegie Group Inc and Robotics Institute, Carnegie Mellon University)Dirección de correo verificada de google.com
Aditya KhoslaCTO, Iterative HealthDirección de correo verificada de iterative.health
Yiyou SunUniversity of Wisconsin MadisonDirección de correo verificada de cs.wisc.edu
Franklyn A TurbakAssociate Professor of Computer Science, Wellesley CollegeDirección de correo verificada de wellesley.edu
Jeff GrayProfessor, Department of Computer Science; Director, Randall Research Scholars - U. AlabamaDirección de correo verificada de cs.ua.edu

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David Bau

Assistant Professor at Northeastern University

Dirección de correo verificada de northeastern.edu - Página principal

Machine Learning Computer Vision NLP Software Engineering HCI


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Numerical linear algebra LN Trefethen, D Bau Siam, 2022	6111	2022
Explaining explanations: An overview of interpretability of machine learning LH Gilpin, D Bau, BZ Yuan, A Bajwa, M Specter, L Kagal 2018 IEEE 5th International Conference on data science and advanced …, 2018	1893	2018
Network dissection: Quantifying interpretability of deep visual representations D Bau, B Zhou, A Khosla, A Oliva, A Torralba Proceedings of the IEEE conference on computer vision and pattern …, 2017	1321	2017
Numerical linear algebra, vol. 50 LN Trefethen, D Bau III Siam, 1997	591	1997
GAN Dissection: Visualizing and Understanding Generative Adversarial Networks D Bau, JY Zhu, H Strobelt, B Zhou, JB Tenenbaum, WT Freeman, ... International Conference on Learning Representations (ICLR 2019), 2019	469	2019
Determining advertisements using user behavior information such as past navigation information D Bau US Patent App. 10/955,828, 2006	351	2006
Learnable programming: blocks and beyond D Bau, J Gray, C Kelleher, J Sheldon, F Turbak Communications of the ACM 60 (6), 72-80, 2017	298	2017
Semantic photo manipulation with a generative image prior D Bau, H Strobelt, W Peebles, J Wulff, B Zhou, JY Zhu, A Torralba arXiv preprint arXiv:2005.07727, 2020	291	2020
Understanding the role of individual units in a deep neural network D Bau, JY Zhu, H Strobelt, A Lapedriza, B Zhou, A Torralba Proceedings of the National Academy of Sciences 117 (48), 30071-30078, 2020	273	2020
Interpreting deep visual representations via network dissection B Zhou, D Bau, A Oliva, A Torralba IEEE transactions on pattern analysis and machine intelligence 41 (9), 2131-2145, 2018	272	2018
Interpretable basis decomposition for visual explanation B Zhou, Y Sun, D Bau, A Torralba Proceedings of the European Conference on Computer Vision (ECCV), 119-134, 2018	244	2018
Seeing what a gan cannot generate D Bau, JY Zhu, J Wulff, W Peebles, H Strobelt, B Zhou, A Torralba Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019	235	2019
Annotation based development platform for stateful web services D Bau III, A Bosworth, GS Burd, RA Chavez, KW Marvin US Patent 7,437,710, 2008	208	2008
Providing images of named resources in response to a search query D Bau, G Erkan, OA Osman, SA Safier, CYC Lo US Patent 9,026,526, 2015	201	2015
Explaining explanations: An approach to evaluating interpretability of machine learning LH Gilpin, D Bau, BZ Yuan, A Bajwa, M Specter, L Kagal arXiv preprint arXiv:1806.00069, 118, 2018	196	2018
Systems and methods for creating network-based software services using source code annotations K Marvin, D Remy, D Bau, RA Chavez, D Read US Patent 7,707,564, 2010	176	2010
What makes fake images detectable? understanding properties that generalize L Chai, D Bau, SN Lim, P Isola Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020	144	2020
Pencil code: block code for a text world D Bau, DA Bau, M Dawson, CS Pickens Proceedings of the 14th international conference on interaction design and …, 2015	140	2015
Methods and apparatus for building, customizing and using software abstractions of external entities KW Marvin, D Bau III, RA Chavez US Patent 7,516,447, 2009	127	2009
Method and system for proxy-based file sharing G Burd, D Bau, R Chavez US Patent App. 11/173,392, 2007	113	2007

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