David Bau
David Bau
Assistant Professor at Northeastern University
Verified email at - Homepage
Cited by
Cited by
Numerical linear algebra
LN Trefethen, D Bau
Society for Industrial and Applied Mathematics, 2022
Proceedings of the IEEE conference on computer vision and pattern recognition
K He, X Zhang, S Ren, J Sun
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
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
Locating and editing factual associations in GPT
K Meng, D Bau, A Andonian, Y Belinkov
Advances in Neural Information Processing Systems 35, 17359-17372, 2022
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
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
Determining advertisements using user behavior information such as past navigation information
D Bau
US Patent App. 10/955,828, 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
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
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
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
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
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
Mass-editing memory in a transformer
K Meng, AS Sharma, A Andonian, Y Belinkov, D Bau
The Eleventh International Conference on Learning Representations (ICLR 2022), 2022
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
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
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
Emergent world representations: Exploring a sequence model trained on a synthetic task
K Li, AK Hopkins, D Bau, F Viégas, H Pfister, M Wattenberg
The Eleventh International Conference on Learning Representations (ICLR 2022), 2022
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
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