Predicting Parameters in Deep Learning. - Misha Denil; Babak Shakibi; Laurent Dinh; Marc'Aurelio Ranzato; Nando de Freitas (NIPS, 2013)

Deep independence network analysis of structural brain imaging: A simulation study. - Eduardo Castro; R. Devon Hjelm; Sergey M. Plis; Laurent Dinh; Jessica A. Turner; Vince D. Calhoun (MLSP, 2015)

A Recurrent Latent Variable Model for Sequential Data. - Junyoung Chung; Kyle Kastner; Laurent Dinh; Kratarth Goel; Aaron C. Courville; Yoshua Bengio (NIPS, 2015)

NICE: Non-linear Independent Components Estimation. - Laurent Dinh; David Krueger 001; Yoshua Bengio (ICLR (Workshop), 2015)

Techniques for Learning Binary Stochastic Feedforward Neural Networks. - Tapani Raiko; Mathias Berglund; Guillaume Alain; Laurent Dinh (ICLR (Poster), 2015)

Theano: A Python framework for fast computation of mathematical expressions. - Rami Al-Rfou; Guillaume Alain; Amjad Almahairi; Christof Angermüller; Dzmitry Bahdanau; Nicolas Ballas; Frédéric Bastien; Justin Bayer; Anatoly Belikov; Alexander Belopolsky; Yoshua Bengio; Arnaud Bergeron; et al. (CoRR, 2016)

Density estimation using Real NVP. - Laurent Dinh; Jascha Sohl-Dickstein; Samy Bengio (ICLR (Poster), 2017)

Sharp Minima Can Generalize For Deep Nets. - Laurent Dinh; Razvan Pascanu; Samy Bengio; Yoshua Bengio (ICML, 2017)

Learnable Explicit Density for Continuous Latent Space and Variational Inference. - Chin-Wei Huang; Ahmed Touati; Laurent Dinh; Michal Drozdzal; Mohammad Havaei; Laurent Charlin; Aaron C. Courville (CoRR, 2017)

Learning Awareness Models. - Brandon Amos; Laurent Dinh; Serkan Cabi; Thomas Rothörl; Sergio Gomez Colmenarejo; Alistair Muldal; Tom Erez; Yuval Tassa; Nando de Freitas; Misha Denil (ICLR (Poster), 2018)

A RAD approach to deep mixture models. - Laurent Dinh; Jascha Sohl-Dickstein; Razvan Pascanu; Hugo Larochelle (DGS@ICLR, 2019)

Invertible Convolutional Flow. - Mahdi Karami; Dale Schuurmans; Jascha Sohl-Dickstein; Laurent Dinh; Daniel Duckworth (NeurIPS, 2019)

Discrete Flows: Invertible Generative Models of Discrete Data. - Dustin Tran; Keyon Vafa; Kumar Krishna Agrawal; Laurent Dinh; Ben Poole (NeurIPS, 2019)

VideoFlow: A Flow-Based Generative Model for Video. - Manoj Kumar; Mohammad Babaeizadeh; Dumitru Erhan; Chelsea Finn; Sergey Levine; Laurent Dinh; Durk Kingma (CoRR, 2019)

VideoFlow: A Conditional Flow-Based Model for Stochastic Video Generation. - Manoj Kumar; Mohammad Babaeizadeh; Dumitru Erhan; Chelsea Finn; Sergey Levine; Laurent Dinh; Durk Kingma (ICLR, 2020)

Augmented Normalizing Flows: Bridging the Gap Between Generative Flows and Latent Variable Models. - Chin-Wei Huang; Laurent Dinh; Aaron C. Courville (CoRR, 2020)

Perfect Density Models Cannot Guarantee Anomaly Detection. - Charline Le Lan; Laurent Dinh (Entropy, 2021)

GAUDI: A Neural Architect for Immersive 3D Scene Generation. - Miguel Ángel Bautista 001; Pengsheng Guo; Samira Abnar; Walter Talbott; Alexander Toshev; Zhuoyuan Chen; Laurent Dinh; Shuangfei Zhai; Hanlin Goh; Daniel Ulbricht; Afshin Dehghan; Joshua M. Susskind (NeurIPS, 2022)

Generative Modeling with Phase Stochastic Bridges. - Tianrong Chen; Jiatao Gu; Laurent Dinh; Evangelos A. Theodorou; Josh M. Susskind; Shuangfei Zhai (CoRR, 2023)

Adaptivity and Modularity for Efficient Generalization Over Task Complexity. - Samira Abnar; Omid Saremi; Laurent Dinh; Shantel Wilson; Miguel Ángel Bautista 001; Chen Huang 001; Vimal Thilak; Etai Littwin; Jiatao Gu; Josh M. Susskind; Samy Bengio (CoRR, 2023)

Generative Modeling with Phase Stochastic Bridge. - Tianrong Chen; Jiatao Gu; Laurent Dinh; Evangelos A. Theodorou; Joshua M. Susskind; Shuangfei Zhai (ICLR, 2024)

LiDAR: Sensing Linear Probing Performance in Joint Embedding SSL Architectures. - Vimal Thilak; Chen Huang 001; Omid Saremi; Laurent Dinh; Hanlin Goh; Preetum Nakkiran; Joshua M. Susskind; Etai Littwin (ICLR, 2024)

STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis. - Jiatao Gu; Tianrong Chen; David Berthelot; Huangjie Zheng; Yuyang Wang; Ruixiang Zhang; Laurent Dinh; Miguel Ángel Bautista 001; Josh M. Susskind; Shuangfei Zhai (CoRR, 2025)