| Diagnosing and enhancing VAE models B Dai, D Wipf arXiv preprint arXiv:1903.05789, 2019 | 490 | 2019 |
| Compressing neural networks using the variational information bottleneck B Dai, C Zhu, B Guo, D Wipf International Conference on Machine Learning, 1135-1144, 2018 | 205 | 2018 |
| Connections with robust PCA and the role of emergent sparsity in variational autoencoder models B Dai, Y Wang, J Aston, G Hua, D Wipf The Journal of Machine Learning Research 19 (1), 1573-1614, 2018 | 132* | 2018 |
| The usual suspects? Reassessing blame for VAE posterior collapse B Dai, Z Wang, D Wipf International conference on machine learning, 2313-2322, 2020 | 100 | 2020 |
| Further analysis of outlier detection with deep generative models Z Wang, B Dai, D Wipf, J Zhu Advances in Neural Information Processing Systems 33, 8982-8992, 2020 | 49 | 2020 |
| Recurrent variational autoencoders for learning nonlinear generative models in the presence of outliers Y Wang, B Dai, G Hua, J Aston, D Wipf IEEE Journal of Selected Topics in Signal Processing 12 (6), 1615-1627, 2018 | 17 | 2018 |
| On the value of infinite gradients in variational autoencoder models B Dai, L Wenliang, D Wipf Advances in Neural Information Processing Systems 34, 7180-7192, 2021 | 13 | 2021 |
| Green Generative Modeling: Recycling Dirty Data using Recurrent Variational Autoencoders. Y Wang, B Dai, G Hua, JAD Aston, DP Wipf UAI, 2017 | 7 | 2017 |
| Agentavatar: Disentangling planning, driving and rendering for photorealistic avatar agents D Wang, B Dai, Y Deng, B Wang arXiv preprint arXiv:2311.17465, 2023 | 5 | 2023 |
| Towards Objectively Benchmarking Social Intelligence for Language Agents at Action Level C Wang, B Dai, H Liu, B Wang arXiv preprint arXiv:2404.05337, 2024 | 3 | 2024 |
| SmartRAG: Jointly Learn RAG-Related Tasks From the Environment Feedback J Gao, L Li, W Li, Y Fu, B Dai arXiv preprint arXiv:2410.18141, 2024 | 1 | 2024 |
| Controlling Character Motions without Observable Driving Source W Li, B Dai, Z Zhou, Q Yao, B Wang Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 1 | 2024 |
| Understanding and Predicting The Attractiveness of Human Action Shot B Dai, B Wang, G Hua arXiv preprint arXiv:1711.00677, 2017 | 1 | 2017 |
Gang HuaVice President, Multimodal Experiences Research Lab, Dolby Laboratories, IEEE & IAPR Fellowبريد إلكتروني تم التحقق منه على dolby.com
