David Bau
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
37
Venues
14
Active years
2015–2026
Best venue rank
A*
Where they publish
Papers
37 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | WACV | Distilling Diversity and Control in Diffusion Models. | Rohit Gandikota, David Bau |
| 2025 | ACL | Position-aware Automatic Circuit Discovery. | Tal Haklay, Hadas Orgad, David Bau, Aaron Mueller, Yonatan Belinkov |
| 2025 | EDBT | Model Lakes. | Koyena Pal, David Bau, Rene J. Miller |
| 2025 | EMNLP | Elucidating Mechanisms of Demographic Bias in LLMs for Healthcare. | Hiba Ahsan, Arnab Sen Sharma, Silvio Amir, David Bau, Byron C. Wallace |
| 2025 | ICCV | SliderSpace: Decomposing the Visual Capabilities of Diffusion Models. | Rohit Gandikota, Zongze Wu, Richard Zhang, David Bau, Eli Shechtman, Nicholas I. Kolkin |
| 2025 | ICLR | NNsight and NDIF: Democratizing Access to Open-Weight Foundation Model Internals. | Jaden Fried Fiotto-Kaufman, Alexander Russell Loftus, Eric Todd, Jannik Brinkmann, Koyena Pal, Dmitrii Troitskii, Michael Ripa, Adam Belfki, Can Rager, Caden Juang, Aaron Mueller, Samuel Marks, Arnab Sen Sharma, Francesca Lucchetti, Nikhil Prakash, Carla E. Brodley, Arjun Guha, Jonathan Bell, Byron C. Wallace, David Bau |
| 2025 | ICLR | Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models. | Samuel Marks, Can Rager, Eric J. Michaud, Yonatan Belinkov, David Bau, Aaron Mueller |
| 2025 | ICML | MIB: A Mechanistic Interpretability Benchmark. | Aaron Mueller, Atticus Geiger, Sarah Wiegreffe, Dana Arad, Ivn Arcuschin, Adam Belfki, Yik Siu Chan, Jaden Fried Fiotto-Kaufman, Tal Haklay, Michael Hanna, Jing Huang, Rohan Gupta, Yaniv Nikankin, Hadas Orgad, Nikhil Prakash, Anja Reusch, Aruna Sankaranarayanan, Shun Shao, Alessandro Stolfo, Martin Tutek, Amir Zur, David Bau, Yonatan Belinkov |
| 2024 | ECCV | Concept Sliders: LoRA Adaptors for Precise Control in Diffusion Models. | Rohit Gandikota, Joanna Materzynska, Tingrui Zhou, Antonio Torralba, David Bau |
| 2024 | EMNLP | Token Erasure as a Footprint of Implicit Vocabulary Items in LLMs. | Sheridan Feucht, David Atkinson, Byron C. Wallace, David Bau |
| 2024 | ICLR | Linearity of Relation Decoding in Transformer Language Models. | Evan Hernandez, Arnab Sen Sharma, Tal Haklay, Kevin Meng, Martin Wattenberg, Jacob Andreas, Yonatan Belinkov, David Bau |
| 2024 | ICLR | Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity Tracking. | Nikhil Prakash, Tamar Rott Shaham, Tal Haklay, Yonatan Belinkov, David Bau |
| 2024 | ICLR | Function Vectors in Large Language Models. | Eric Todd, Millicent L. Li, Arnab Sen Sharma, Aaron Mueller, Byron C. Wallace, David Bau |
| 2024 | WACV | Unified Concept Editing in Diffusion Models. | Rohit Gandikota, Hadas Orgad, Yonatan Belinkov, Joanna Materzynska, David Bau |
| 2024 | SiggraphA | Customizing Text-to-Image Models with a Single Image Pair. | Maxwell Jones, Sheng-Yu Wang, Nupur Kumari, David Bau, Jun-Yan Zhu |
| 2023 | CoNLL | Future Lens: Anticipating Subsequent Tokens from a Single Hidden State. | Koyena Pal, Jiuding Sun, Andrew Yuan, Byron C. Wallace, David Bau |
| 2023 | ICCV | Erasing Concepts from Diffusion Models. | Rohit Gandikota, Joanna Materzynska, Jaden Fiotto-Kaufman, David Bau |
| 2023 | ICLR | Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task. | Kenneth Li, Aspen K. Hopkins, David Bau, Fernanda B. Vigas, Hanspeter Pfister, Martin Wattenberg |
| 2023 | ICLR | Mass-Editing Memory in a Transformer. | Kevin Meng, Arnab Sen Sharma, Alex J. Andonian, Yonatan Belinkov, David Bau |
| 2023 | SiggraphA | Content-based Search for Deep Generative Models. | Daohan Lu, Sheng-Yu Wang, Nupur Kumari, Rohan Agarwal, Mia Tang, David Bau, Jun-Yan Zhu |
| 2022 | CVPR | Disentangling visual and written concepts in CLIP. | Joanna Materzynska, Antonio Torralba, David Bau |
| 2022 | ICLR | Natural Language Descriptions of Deep Visual Features. | Evan Hernandez, Sarah Schwettmann, David Bau, Teona Bagashvili, Antonio Torralba, Jacob Andreas |
| 2022 | IUI | HAI-GEN 2022: 3rd Workshop on Human-AI Co-Creation with Generative Models. | Justin D. Weisz, Mary Lou Maher, Hendrik Strobelt, Lydia B. Chilton, David Bau, Werner Geyer |
| 2021 | ICCV | Toward a Visual Concept Vocabulary for GAN Latent Space. | Sarah Schwettmann, Evan Hernandez, David Bau, Samuel Klein, Jacob Andreas, Antonio Torralba |
| 2021 | ICCV | Sketch Your Own GAN. | Sheng-Yu Wang, David Bau, Jun-Yan Zhu |
| 2020 | CVPR | Diverse Image Generation via Self-Conditioned GANs. | Steven Liu, Tongzhou Wang, David Bau, Jun-Yan Zhu, Antonio Torralba |
| 2020 | ECCV | Rewriting a Deep Generative Model. | David Bau, Steven Liu, Tongzhou Wang, Jun-Yan Zhu, Antonio Torralba |
| 2020 | ECCV | What Makes Fake Images Detectable? Understanding Properties that Generalize. | Lucy Chai, David Bau, Ser-Nam Lim, Phillip Isola |
| 2019 | CVPR | Learning Words by Drawing Images. | Didac Suris, Adri Recasens, David Bau, David Harwath, James R. Glass, Antonio Torralba |
| 2019 | ICCV | Seeing What a GAN Cannot Generate. | David Bau, Jun-Yan Zhu, Jonas Wulff, William S. Peebles, Bolei Zhou, Hendrik Strobelt, Antonio Torralba |
| 2019 | ICLR | GAN Dissection: Visualizing and Understanding Generative Adversarial Networks. | David Bau, Jun-Yan Zhu, Hendrik Strobelt, Bolei Zhou, Joshua B. Tenenbaum, William T. Freeman, Antonio Torralba |
| 2019 | ICLR | Visualizing and Understanding GANs. | David Bau, Jun-Yan Zhu, Hendrik Strobelt, Bolei Zhou, Joshua B. Tenenbaum, William T. Freeman, Antonio Torralba |
| 2018 | DSAA | Explaining Explanations: An Overview of Interpretability of Machine Learning. | Leilani H. Gilpin, David Bau, Ben Z. Yuan, Ayesha Bajwa, Michael A. Specter, Lalana Kagal |
| 2018 | ECCV | Interpretable Basis Decomposition for Visual Explanation. | Bolei Zhou, Yiyou Sun, David Bau, Antonio Torralba |
| 2017 | CVPR | Network Dissection: Quantifying Interpretability of Deep Visual Representations. | David Bau, Bolei Zhou, Aditya Khosla, Aude Oliva, Antonio Torralba |
| 2015 | SIGCSE | Using Pencil Code to Bridge the Gap between Visual and Text-Based Coding (Abstract Only). | David Bau, Matthew Dawson, Anthony Bau |
| 2015 | SIGCSE | Supporting the Computer Science Learning Process. | Amy Briggs, David Bau, Caroline Meeks, Pat Yongpradit |