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David Bau
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2020 – today
- 2024
- [c36]Stephen Casper
, Carson Ezell
, Charlotte Siegmann
, Noam Kolt
, Taylor Lynn Curtis
, Benjamin Bucknall
, Andreas A. Haupt
, Kevin Wei
, Jérémy Scheurer
, Marius Hobbhahn
, Lee Sharkey
, Satyapriya Krishna
, Marvin Von Hagen
, Silas Alberti
, Alan Chan
, Qinyi Sun
, Michael Gerovitch
, David Bau
, Max Tegmark
, David Krueger
, Dylan Hadfield-Menell
:
Black-Box Access is Insufficient for Rigorous AI Audits. FAccT 2024: 2254-2272 - [c35]Evan Hernandez, Arnab Sen Sharma, Tal Haklay, Kevin Meng, Martin Wattenberg, Jacob Andreas, Yonatan Belinkov, David Bau:
Linearity of Relation Decoding in Transformer Language Models. ICLR 2024 - [c34]Nikhil Prakash, Tamar Rott Shaham, Tal Haklay, Yonatan Belinkov, David Bau:
Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity Tracking. ICLR 2024 - [c33]Eric Todd, Millicent L. Li, Arnab Sen Sharma, Aaron Mueller, Byron C. Wallace, David Bau:
Function Vectors in Large Language Models. ICLR 2024 - [c32]Rohit Gandikota, Hadas Orgad, Yonatan Belinkov, Joanna Materzynska, David Bau:
Unified Concept Editing in Diffusion Models. WACV 2024: 5099-5108 - [i44]Stephen Casper, Carson Ezell, Charlotte Siegmann, Noam Kolt, Taylor Lynn Curtis, Benjamin Bucknall, Andreas Alexander Haupt, Kevin Wei, Jérémy Scheurer, Marius Hobbhahn, Lee Sharkey, Satyapriya Krishna, Marvin Von Hagen
, Silas Alberti, Alan Chan, Qinyi Sun, Michael Gerovitch, David Bau, Max Tegmark, David Krueger, Dylan Hadfield-Menell:
Black-Box Access is Insufficient for Rigorous AI Audits. CoRR abs/2401.14446 (2024) - [i43]Kenneth Li, Tianle Liu, Naomi Bashkansky, David Bau, Fernanda B. Viégas, Hanspeter Pfister, Martin Wattenberg:
Measuring and Controlling Persona Drift in Language Model Dialogs. CoRR abs/2402.10962 (2024) - [i42]Nikhil Prakash, Tamar Rott Shaham, Tal Haklay, Yonatan Belinkov, David Bau
:
Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity Tracking. CoRR abs/2402.14811 (2024) - [i41]Koyena Pal, David Bau
, Renée J. Miller:
Model Lakes. CoRR abs/2403.02327 (2024) - [i40]Samuel Marks, Can Rager, Eric J. Michaud, Yonatan Belinkov, David Bau, Aaron Mueller:
Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models. CoRR abs/2403.19647 (2024) - [i39]Arnab Sen Sharma, David Atkinson, David Bau:
Locating and Editing Factual Associations in Mamba. CoRR abs/2404.03646 (2024) - [i38]Maxwell Jones, Sheng-Yu Wang, Nupur Kumari, David Bau, Jun-Yan Zhu:
Customizing Text-to-Image Models with a Single Image Pair. CoRR abs/2405.01536 (2024) - [i37]Sheridan Feucht, David Atkinson, Byron C. Wallace, David Bau:
Token Erasure as a Footprint of Implicit Vocabulary Items in LLMs. CoRR abs/2406.20086 (2024) - 2023
- [j7]Grace W. Lindsay, David Bau
:
Testing methods of neural systems understanding. Cogn. Syst. Res. 82: 101156 (2023) - [c31]Koyena Pal, Jiuding Sun, Andrew Yuan, Byron C. Wallace, David Bau:
Future Lens: Anticipating Subsequent Tokens from a Single Hidden State. CoNLL 2023: 548-560 - [c30]Rohit Gandikota, Joanna Materzynska, Jaden Fiotto-Kaufman, David Bau
:
Erasing Concepts from Diffusion Models. ICCV 2023: 2426-2436 - [c29]Sarah Schwettmann, Neil Chowdhury, Samuel Klein, David Bau
, Antonio Torralba:
Multimodal Neurons in Pretrained Text-Only Transformers. ICCV (Workshops) 2023: 2854-2859 - [c28]Kenneth Li, Aspen K. Hopkins, David Bau, Fernanda B. Viégas, Hanspeter Pfister, Martin Wattenberg:
Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task. ICLR 2023 - [c27]Kevin Meng, Arnab Sen Sharma, Alex J. Andonian, Yonatan Belinkov, David Bau:
Mass-Editing Memory in a Transformer. ICLR 2023 - [c26]Sarah Schwettmann, Tamar Rott Shaham, Joanna Materzynska, Neil Chowdhury, Shuang Li, Jacob Andreas, David Bau, Antonio Torralba:
FIND: A Function Description Benchmark for Evaluating Interpretability Methods. NeurIPS 2023 - [c25]Daohan Lu
, Sheng-Yu Wang
, Nupur Kumari
, Rohan Agarwal
, Mia Tang
, David Bau
, Jun-Yan Zhu
:
Content-based Search for Deep Generative Models. SIGGRAPH Asia 2023: 71:1-71:12 - [i36]Rohit Gandikota, Joanna Materzynska, Jaden Fiotto-Kaufman, David Bau
:
Erasing Concepts from Diffusion Models. CoRR abs/2303.07345 (2023) - [i35]Xander Davies, Max Nadeau, Nikhil Prakash, Tamar Rott Shaham, David Bau
:
Discovering Variable Binding Circuitry with Desiderata. CoRR abs/2307.03637 (2023) - [i34]Evan Hernandez, Arnab Sen Sharma, Tal Haklay, Kevin Meng, Martin Wattenberg, Jacob Andreas, Yonatan Belinkov, David Bau
:
Linearity of Relation Decoding in Transformer Language Models. CoRR abs/2308.09124 (2023) - [i33]Rohit Gandikota, Hadas Orgad, Yonatan Belinkov, Joanna Materzynska, David Bau
:
Unified Concept Editing in Diffusion Models. CoRR abs/2308.14761 (2023) - [i32]Sarah Schwettmann, Tamar Rott Shaham, Joanna Materzynska, Neil Chowdhury, Shuang Li, Jacob Andreas, David Bau
, Antonio Torralba:
A Function Interpretation Benchmark for Evaluating Interpretability Methods. CoRR abs/2309.03886 (2023) - [i31]Eric Todd, Millicent L. Li, Arnab Sen Sharma, Aaron Mueller, Byron C. Wallace, David Bau
:
Function Vectors in Large Language Models. CoRR abs/2310.15213 (2023) - [i30]Koyena Pal, Jiuding Sun, Andrew Yuan, Byron C. Wallace, David Bau
:
Future Lens: Anticipating Subsequent Tokens from a Single Hidden State. CoRR abs/2311.04897 (2023) - [i29]Silen Naihin, David Atkinson, Marc Green, Merwane Hamadi, Craig Swift, Douglas Schonholtz, Adam Tauman Kalai, David Bau:
Testing Language Model Agents Safely in the Wild. CoRR abs/2311.10538 (2023) - [i28]Nicholas Vincent, David Bau
, Sarah Schwettmann, Joshua Tan:
An Alternative to Regulation: The Case for Public AI. CoRR abs/2311.11350 (2023) - [i27]Rohit Gandikota, Joanna Materzynska, Tingrui Zhou, Antonio Torralba, David Bau
:
Concept Sliders: LoRA Adaptors for Precise Control in Diffusion Models. CoRR abs/2311.12092 (2023) - 2022
- [j6]Sheng-Yu Wang
, David Bau
, Jun-Yan Zhu
:
Rewriting geometric rules of a GAN. ACM Trans. Graph. 41(4): 73:1-73:16 (2022) - [c24]Joanna Materzynska, Antonio Torralba, David Bau
:
Disentangling visual and written concepts in CLIP. CVPR 2022: 16389-16398 - [c23]Evan Hernandez, Sarah Schwettmann, David Bau, Teona Bagashvili, Antonio Torralba, Jacob Andreas:
Natural Language Descriptions of Deep Visual Features. ICLR 2022 - [c22]Justin D. Weisz, Mary Lou Maher, Hendrik Strobelt, Lydia B. Chilton, David Bau
, Werner Geyer:
HAI-GEN 2022: 3rd Workshop on Human-AI Co-Creation with Generative Models. IUI Companion 2022: 4-6 - [c21]Kevin Meng, David Bau, Alex Andonian, Yonatan Belinkov:
Locating and Editing Factual Associations in GPT. NeurIPS 2022 - [i26]Evan Hernandez, Sarah Schwettmann, David Bau, Teona Bagashvili, Antonio Torralba, Jacob Andreas:
Natural Language Descriptions of Deep Visual Features. CoRR abs/2201.11114 (2022) - [i25]Kevin Meng, David Bau, Alex Andonian, Yonatan Belinkov:
Locating and Editing Factual Knowledge in GPT. CoRR abs/2202.05262 (2022) - [i24]Joanna Materzynska, Antonio Torralba, David Bau
:
Disentangling visual and written concepts in CLIP. CoRR abs/2206.07835 (2022) - [i23]Audrey Cui, Ali Jahanian, Àgata Lapedriza, Antonio Torralba, Shahin Mahdizadehaghdam, Rohit Kumar, David Bau
:
Local Relighting of Real Scenes. CoRR abs/2207.02774 (2022) - [i22]Sheng-Yu Wang, David Bau
, Jun-Yan Zhu:
Rewriting Geometric Rules of a GAN. CoRR abs/2207.14288 (2022) - [i21]Daohan Lu, Sheng-Yu Wang, Nupur Kumari, Rohan Agarwal, David Bau
, Jun-Yan Zhu:
Content-Based Search for Deep Generative Models. CoRR abs/2210.03116 (2022) - [i20]Kevin Meng, Arnab Sen Sharma, Alex Andonian, Yonatan Belinkov, David Bau
:
Mass-Editing Memory in a Transformer. CoRR abs/2210.07229 (2022) - [i19]Kenneth Li, Aspen K. Hopkins, David Bau
, Fernanda B. Viégas, Hanspeter Pfister
, Martin Wattenberg:
Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task. CoRR abs/2210.13382 (2022) - 2021
- [b2]David Bau:
Dissection of Deep Neural Networks. Massachusetts Institute of Technology, USA, 2021 - [c20]Sarah Schwettmann, Evan Hernandez, David Bau
, Samuel Klein, Jacob Andreas, Antonio Torralba:
Toward a Visual Concept Vocabulary for GAN Latent Space. ICCV 2021: 6784-6792 - [c19]Sheng-Yu Wang, David Bau
, Jun-Yan Zhu:
Sketch Your Own GAN. ICCV 2021: 14030-14040 - [c18]Shibani Santurkar, Dimitris Tsipras, Mahalaxmi Elango, David Bau, Antonio Torralba, Aleksander Madry:
Editing a classifier by rewriting its prediction rules. NeurIPS 2021: 23359-23373 - [c17]Emma Andrews, David Bau
, Jeremiah J. Blanchard
:
From Droplet to Lilypad: Present and Future of Dual-Modality Environments. VL/HCC 2021: 1-2 - [i18]David Bau, Alex Andonian, Audrey Cui, YeonHwan Park, Ali Jahanian, Aude Oliva, Antonio Torralba:
Paint by Word. CoRR abs/2103.10951 (2021) - [i17]Sheng-Yu Wang, David Bau, Jun-Yan Zhu:
Sketch Your Own GAN. CoRR abs/2108.02774 (2021) - [i16]Sarah Schwettmann, Evan Hernandez, David Bau, Samuel Klein, Jacob Andreas, Antonio Torralba:
Toward a Visual Concept Vocabulary for GAN Latent Space. CoRR abs/2110.04292 (2021) - [i15]Shibani Santurkar, Dimitris Tsipras, Mahalaxmi Elango, David Bau, Antonio Torralba, Aleksander Madry:
Editing a classifier by rewriting its prediction rules. CoRR abs/2112.01008 (2021) - 2020
- [j5]David Bau
, Jun-Yan Zhu, Hendrik Strobelt, Àgata Lapedriza, Bolei Zhou
, Antonio Torralba:
Understanding the role of individual units in a deep neural network. Proc. Natl. Acad. Sci. USA 117(48): 30071-30078 (2020) - [c16]Steven Liu, Tongzhou Wang, David Bau
, Jun-Yan Zhu, Antonio Torralba:
Diverse Image Generation via Self-Conditioned GANs. CVPR 2020: 14274-14283 - [c15]Lucy Chai, David Bau
, Ser-Nam Lim, Phillip Isola:
What Makes Fake Images Detectable? Understanding Properties that Generalize. ECCV (26) 2020: 103-120 - [c14]David Bau
, Steven Liu, Tongzhou Wang, Jun-Yan Zhu, Antonio Torralba:
Rewriting a Deep Generative Model. ECCV (1) 2020: 351-369 - [i14]David Bau, Hendrik Strobelt, William S. Peebles, Jonas Wulff, Bolei Zhou, Jun-Yan Zhu, Antonio Torralba:
Semantic Photo Manipulation with a Generative Image Prior. CoRR abs/2005.07727 (2020) - [i13]Steven Liu, Tongzhou Wang, David Bau, Jun-Yan Zhu, Antonio Torralba:
Diverse Image Generation via Self-Conditioned GANs. CoRR abs/2006.10728 (2020) - [i12]David Bau, Steven Liu, Tongzhou Wang, Jun-Yan Zhu, Antonio Torralba:
Rewriting a Deep Generative Model. CoRR abs/2007.15646 (2020) - [i11]Lucy Chai, David Bau, Ser-Nam Lim, Phillip Isola:
What makes fake images detectable? Understanding properties that generalize. CoRR abs/2008.10588 (2020) - [i10]David Bau, Jun-Yan Zhu, Hendrik Strobelt, Àgata Lapedriza, Bolei Zhou, Antonio Torralba:
Understanding the Role of Individual Units in a Deep Neural Network. CoRR abs/2009.05041 (2020)
2010 – 2019
- 2019
- [j4]David Weintrop
, David Bau
, Uri Wilensky:
The cloud is the limit: A case study of programming on the web, with the web. Int. J. Child Comput. Interact. 20: 1-8 (2019) - [j3]Bolei Zhou
, David Bau
, Aude Oliva, Antonio Torralba:
Interpreting Deep Visual Representations via Network Dissection. IEEE Trans. Pattern Anal. Mach. Intell. 41(9): 2131-2145 (2019) - [j2]David Bau
, Hendrik Strobelt, William S. Peebles, Jonas Wulff, Bolei Zhou, Jun-Yan Zhu, Antonio Torralba:
Semantic photo manipulation with a generative image prior. ACM Trans. Graph. 38(4): 59:1-59:11 (2019) - [c13]Didac Suris, Adrià Recasens, David Bau
, David Harwath, James R. Glass, Antonio Torralba:
Learning Words by Drawing Images. CVPR 2019: 2029-2038 - [c12]David Bau
, Jun-Yan Zhu, Jonas Wulff, William S. Peebles, Bolei Zhou, Hendrik Strobelt, Antonio Torralba:
Seeing What a GAN Cannot Generate. ICCV 2019: 4501-4510 - [c11]David Bau, Jun-Yan Zhu, Hendrik Strobelt, Bolei Zhou, Joshua B. Tenenbaum, William T. Freeman, Antonio Torralba:
GAN Dissection: Visualizing and Understanding Generative Adversarial Networks. ICLR (Poster) 2019 - [c10]David Bau, Jun-Yan Zhu, Hendrik Strobelt, Bolei Zhou, Joshua B. Tenenbaum, William T. Freeman, Antonio Torralba:
Visualizing and Understanding GANs. DGS@ICLR 2019 - [p1]Bolei Zhou, David Bau
, Aude Oliva, Antonio Torralba:
Comparing the Interpretability of Deep Networks via Network Dissection. Explainable AI 2019: 243-252 - [i9]David Bau, Jun-Yan Zhu, Hendrik Strobelt, Bolei Zhou, Joshua B. Tenenbaum, William T. Freeman, Antonio Torralba:
Visualizing and Understanding Generative Adversarial Networks (Extended Abstract). CoRR abs/1901.09887 (2019) - [i8]Jonathan Frankle, David Bau:
Dissecting Pruned Neural Networks. CoRR abs/1907.00262 (2019) - [i7]David Bau, Jun-Yan Zhu, Jonas Wulff, William S. Peebles, Hendrik Strobelt, Bolei Zhou, Antonio Torralba:
Seeing What a GAN Cannot Generate. CoRR abs/1910.11626 (2019) - 2018
- [c9]Leilani H. Gilpin, David Bau
, Ben Z. Yuan, Ayesha Bajwa, Michael A. Specter, Lalana Kagal
:
Explaining Explanations: An Overview of Interpretability of Machine Learning. DSAA 2018: 80-89 - [c8]Bolei Zhou, Yiyou Sun, David Bau
, Antonio Torralba:
Interpretable Basis Decomposition for Visual Explanation. ECCV (8) 2018: 122-138 - [i6]Leilani H. Gilpin, David Bau, Ben Z. Yuan, Ayesha Bajwa, Michael A. Specter, Lalana Kagal:
Explaining Explanations: An Approach to Evaluating Interpretability of Machine Learning. CoRR abs/1806.00069 (2018) - [i5]Bolei Zhou, Yiyou Sun, David Bau, Antonio Torralba:
Revisiting the Importance of Individual Units in CNNs via Ablation. CoRR abs/1806.02891 (2018) - [i4]David Bau, Jun-Yan Zhu, Hendrik Strobelt, Bolei Zhou, Joshua B. Tenenbaum, William T. Freeman, Antonio Torralba:
GAN Dissection: Visualizing and Understanding Generative Adversarial Networks. CoRR abs/1811.10597 (2018) - 2017
- [j1]David Bau
, Jeff Gray
, Caitlin Kelleher, Josh Sheldon, Franklyn A. Turbak:
Learnable programming: blocks and beyond. Commun. ACM 60(6): 72-80 (2017) - [c7]David Bau
, Bolei Zhou, Aditya Khosla, Aude Oliva, Antonio Torralba:
Network Dissection: Quantifying Interpretability of Deep Visual Representations. CVPR 2017: 3319-3327 - [i3]David Bau, Bolei Zhou, Aditya Khosla, Aude Oliva, Antonio Torralba:
Network Dissection: Quantifying Interpretability of Deep Visual Representations. CoRR abs/1704.05796 (2017) - [i2]David Bau, Jeff Gray, Caitlin Kelleher, Josh Sheldon, Franklyn A. Turbak:
Learnable Programming: Blocks and Beyond. CoRR abs/1705.09413 (2017) - [i1]Bolei Zhou, David Bau, Aude Oliva, Antonio Torralba:
Interpreting Deep Visual Representations via Network Dissection. CoRR abs/1711.05611 (2017) - 2015
- [c6]David Bau
, D. Anthony Bau, Matthew Dawson, C. Sydney Pickens:
Pencil code: block code for a text world. IDC 2015: 445-448 - [c5]Amy Briggs, David Bau
, Caroline Meeks, Pat Yongpradit:
Supporting the Computer Science Learning Process. SIGCSE 2015: 269-270 - [c4]David Bau
, Matthew Dawson, Anthony Bau:
Using Pencil Code to Bridge the Gap between Visual and Text-Based Coding (Abstract Only). SIGCSE 2015: 706
2000 – 2009
- 2008
- [c3]Ming Zhao, Jay Yagnik, Hartwig Adam, David Bau
:
Large scale learning and recognition of faces in web videos. FG 2008: 1-7 - 2001
- [c2]Vladimir Kotlyar, David Bau
, Induprakas Kodukula, Keshav Pingali, Paul Stodghill:
Solving Alignment Using Elementary Linear Algebra. Compiler Optimizations for Scalable Parallel Systems Languages 2001: 385-412
1990 – 1999
- 1997
- [b1]Lloyd N. Trefethen, David Bau
:
Numerical linear algebra. SIAM 1997, ISBN 978-0-89871-361-9, pp. I-XII, 1-361 - 1994
- [c1]David Bau
, Induprakas Kodukula, Vladimir Kotlyar, Keshav Pingali, Paul Stodghill:
Solving Alignment Using Elementary Linear Algebra. LCPC 1994: 46-60
Coauthor Index
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last updated on 2024-08-08 20:16 CEST by the dblp team
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