Bau, David

Explaining Explanations: An Overview of Interpretability of Machine Learning

Gilpin, L. H., Bau, D., Yuan, B. Z., Bajwa, A., Specter, M., & Kagal, L. (2018) · 2018 IEEE 5th International Conference on Data Science and Advanced Analytics (DSAA)

Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques

Cited by 2,507

Network Dissection: Quantifying Interpretability of Deep Visual Representations

Bau, D., Zhou, B., Khosla, A., Oliva, A., & Torralba, A. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Explainable Artificial Intelligence (XAI)Advanced Neural Network Applications

Cited by 1,389

Understanding the role of individual units in a deep neural network

Bau, D., Zhu, J.-Y., Strobelt, H., Lapedriza, A., Zhou, B., & Torralba, A. (2020) · Proceedings of the National Academy of Sciences

Explainable Artificial Intelligence (XAI)Advanced Neural Network Applications

Cited by 375

What Makes Fake Images Detectable? Understanding Properties that Generalize

Chai, L., Bau, D., Lim, S.-N., & Isola, P. (2020) · Lecture Notes in Computer Science

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 357

Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models

Marks, S., Rager, C., Michaud, E. J., Belinkov, Y., Bau, D., & Mueller, A. (2024) · arXiv

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 295

Open Problems in Mechanistic Interpretability

Sharkey, L., Chughtai, B., Batson, J., Lindsey, J., Wu, J., Bushnaq, L., Goldowsky-Dill, N., Heimersheim, S., Ortega, A., Bloom, J., et al. (2025) · arXiv

Explainable Artificial Intelligence (XAI)Neural Networks and Applications

Cited by 291

Locating and Editing Factual Associations in GPT

Meng, K., Bau, D., Andonian, A., & Belinkov, Y. (2022) · arXiv

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 230

Semantic photo manipulation with a generative image prior

Bau, D., Strobelt, H., Peebles, W., Wulff, J., Zhou, B., Zhu, J.-Y., & Torralba, A. (2019) · ACM Transactions on Graphics

Generative Adversarial Networks and Image SynthesisDigital Media Forensic Detection

Cited by 207

Locating and Editing Factual Associations in GPT

Meng, K., Bau, D., Andonian, A., & Belinkov, Y. (2022) · Advances in Neural Information Processing Systems 35

Topic ModelingNatural Language Processing Techniques

Cited by 149

Linearity of Relation Decoding in Transformer Language Models

Hernandez, E., Sharma, A. S., Haklay, T., Meng, K., Wattenberg, M., Andreas, J., Belinkov, Y., & Bau, D. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 98

Diverse Image Generation via Self-Conditioned GANs

Liu, S., Wang, T., Bau, D., Zhu, J.-Y., & Torralba, A. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Generative Adversarial Networks and Image SynthesisDigital Media Forensic Detection

Cited by 91

Mass-Editing Memory in a Transformer

Meng, K., Sharma, A. S., Andonian, A., Belinkov, Y., & Bau, D. (2022) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 76

Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity Tracking

Prakash, N., Shaham, T. R., Haklay, T., Belinkov, Y., & Bau, D. (2024) · arXiv

Topic ModelingExplainable Artificial Intelligence (XAI)

Cited by 63

Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task

Li, K., Hopkins, A. K., Bau, D., Viégas, F., Pfister, H., & Wattenberg, M. (2022) · arXiv

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Games

Cited by 61

Discovering Variable Binding Circuitry with Desiderata

Davies, X., Nadeau, M., Prakash, N., Shaham, T. R., & Bau, D. (2023) · arXiv

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 27

Measuring and Controlling Instruction (In)Stability in Language Model Dialogs

Li, K., Liu, T., Bashkansky, N., Bau, D., Viégas, F., Pfister, H., & Wattenberg, M. (2024) · arXiv

Speech and dialogue systemsTopic Modeling

Cited by 23

Interpreting Visual Representations of Neural Networks via Network Dissection

Zhou, B., Bau, D., Oliva, A., & Torralba, A. (2018) · Journal of Vision

Explainable Artificial Intelligence (XAI)Advanced Neural Network Applications

Cited by 15

HAI-GEN 2022: 3rd Workshop on Human-AI Co-Creation with Generative Models

Weisz, J. D., Maher, M. L., Strobelt, H., Chilton, L. B., Bau, D., & Geyer, W. (2022) · 27th International Conference on Intelligent User Interfaces

Digital Media and Visual ArtArt, Technology, and Culture

Cited by 14

Agents of Chaos

Shapira, N., Wendler, C., Yen, A., Sarti, G., Pal, K., Floody, O., Belfki, A., Loftus, A., Jannali, A. R., Prakash, N., et al. (2026) · arXiv

Adversarial Robustness in Machine LearningEthics and Social Impacts of AI

Cited by 6

Testing Language Model Agents Safely in the Wild

Naihin, S., Atkinson, D., Green, M., Hamadi, M., Swift, C., Schonholtz, D., Kalai, A. T., & Bau, D. (2023) · arXiv

Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning

Cited by 4

Elucidating mechanisms of demographic bias in LLMs for healthcare

Ahsan, H., Sen Sharma, A., Amir, S., Bau, D., & Wallace, B. C. (2025) · Findings of the Association for Computational Linguistics: EMNLP 2025

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 1