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Dave Epstein
Dave Epstein
Anthropic
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Neuzz: Efficient fuzzing with neural program smoothing
D She, K Pei, D Epstein, J Yang, B Ray, S Jana
2019 IEEE Symposium on Security and Privacy (SP), 803-817, 2019
2982019
Diffusion self-guidance for controllable image generation
D Epstein, A Jabri, B Poole, A Efros, A Holynski
Advances in Neural Information Processing Systems 36, 2023
1582023
Oops! predicting unintentional action in video
D Epstein, B Chen, C Vondrick
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
1122020
Blobgan: Spatially disentangled scene representations
D Epstein, T Park, R Zhang, E Shechtman, AA Efros
European Conference on Computer Vision, 616-635, 2022
572022
Globetrotter: Connecting languages by connecting images
D Surís, D Epstein, C Vondrick
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
21*2022
Learning temporal dynamics from cycles in narrated video
D Epstein, J Wu, C Schmid, C Sun
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
212021
Learning Goals from Failure
D Epstein, C Vondrick
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
21*2021
Learning to learn words from visual scenes
D Surís, D Epstein, H Ji, SF Chang, C Vondrick
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
17*2020
Disentangled 3d scene generation with layout learning
D Epstein, B Poole, B Mildenhall, AA Efros, A Holynski
arXiv preprint arXiv:2402.16936, 2024
152024
Disentangled Visual Generative Models
D Epstein
University of California, Berkeley, 2024
2024
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Artículos 1–10