Dinh, Laurent
- Density estimation using Real NVP
2016/05/27 by Dinh, Laurent, Sohl-Dickstein, Jascha, Bengio, Samy · 167 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE)
- NICE: Non-linear Independent Components Estimation
2014/10/30 by Dinh, Laurent, Krueger, David, Bengio, Yoshua · 74 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- VideoFlow: A Conditional Flow-Based Model for Stochastic Video Generation
2019/03/04 by Manoj Kumar, M. N. Anil Kumar, Kumar, Manoj +12 · 1 voice · 18 citations
Computer Science · #Generative Adversarial Networks and Image Synthesis #Human Pose and Action Recognition #Artificial Intelligence in Games
- A Recurrent Latent Variable Model for Sequential Data
2015/06/07 by Jun‐Young Chung, Chung, Junyoung, Kyle Kastner +9 · 54 citations
Computer Science · #Generative Adversarial Networks and Image Synthesis #Topic Modeling #Neural Networks and Applications
- Predicting Parameters in Deep Learning
2013/06/03 by Misha Denil, Denil, Misha, Babak Shakibi +7 · 53 citations
Computer Science · #Neural Networks and Applications #Machine Learning and Data Classification #Generative Adversarial Networks and Image Synthesis
- Sharp Minima Can Generalize For Deep Nets
2017/03/15 by Laurent Dinh, Razvan Pascanu, Dinh, Laurent +5 · 45 citations
Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Stochastic Gradient Optimization Techniques
- LiDAR: Sensing Linear Probing Performance in Joint Embedding SSL Architectures
2023/12/07 by Vimal Thilak, Thilak, Vimal, Chen Huang +13 · 9 citations
Computer Science · #Face and Expression Recognition #Machine Learning and Data Classification #Anomaly Detection Techniques and Applications
- GAUDI: A Neural Architect for Immersive 3D Scene Generation
2022/07/27 by Miguel Ángel Bautista, Pengsheng Guo, Bautista, Miguel Angel +21 · 6 citations
Computer Science · Engineering · #Generative Adversarial Networks and Image Synthesis #Advanced Vision and Imaging #Human Motion and Animation
- Learning Awareness Models
2018/04/17 by Brandon Amos, Laurent Dinh, Amos, Brandon +17 · 6 citations
Computer Science · Engineering · #Anomaly Detection Techniques and Applications #Robot Manipulation and Learning #Reinforcement Learning in Robotics
- STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis
2025/06/06 by Gu, Jiatao, Chen, Tianrong, Berthelot, David +7 · 15 citations
#Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Discrete Flows: Invertible Generative Models of Discrete Data
2019/05/24 by Tran, Dustin, Vafa, Keyon, Agrawal, Kumar Krishna +2 · 2 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Augmented Normalizing Flows: Bridging the Gap Between Generative Flows and Latent Variable Models
2020/02/17 by Huang, Chin-Wei, Dinh, Laurent, Courville, Aaron · 2 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Theano: A Python framework for fast computation of mathematical expressions
2016/05/09 by The Theano Development Team, Al-Rfou, Rami, Alain, Guillaume +110 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Mathematical Software (cs.MS) #Symbolic Computation (cs.SC)
- Learnable Explicit Density for Continuous Latent Space and Variational Inference
2017/10/06 by Chin-Wei Huang, Huang, Chin-Wei, Laurent Dinh +10 · 2 citations
Computer Science · Physics and Astronomy · #Generative Adversarial Networks and Image Synthesis #Gaussian Processes and Bayesian Inference #Model Reduction and Neural Networks
- STARFlow-V: End-to-End Video Generative Modeling with Normalizing Flows
2025/11/25 by Jiatao Gu, Ying Shen, Gu, Jiatao +15 · 6 citations
Computer Science · Physics and Astronomy · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Model Reduction and Neural Networks
- Adaptivity and Modularity for Efficient Generalization Over Task Complexity
2023/10/13 by Samira Abnar, Abnar, Samira, Omid Saremi +19 · 1 citation
Computer Science · #Machine Learning and Data Classification #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications
- Generative Modeling with Phase Stochastic Bridges
2023/10/11 by Chen, Tianrong, Gu, Jiatao, Dinh, Laurent +3 · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)