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A Variational Perspective on Diffusion-Based Generative Models and Score Matching
Chin-Wei Huang
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Chin-Wei Huang (MILA)
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2021 Workshop: INNF+: Invertible Neural Networks, Normalizing Flows, and Explicit Likelihood Models »
Chin-Wei Huang · David Krueger · Rianne Van den Berg · George Papamakarios · Ricky T. Q. Chen · Danilo J. Rezende -
2020 Workshop: INNF+: Invertible Neural Networks, Normalizing Flows, and Explicit Likelihood Models »
Chin-Wei Huang · David Krueger · Rianne Van den Berg · George Papamakarios · Chris Cremer · Ricky T. Q. Chen · Danilo J. Rezende -
2020 Poster: AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation »
Jae Hyun Lim · Aaron Courville · Christopher Pal · Chin-Wei Huang -
2019 Workshop: Invertible Neural Networks and Normalizing Flows »
Chin-Wei Huang · David Krueger · Rianne Van den Berg · George Papamakarios · Aidan Gomez · Chris Cremer · Aaron Courville · Ricky T. Q. Chen · Danilo J. Rezende -
2019 Poster: Hierarchical Importance Weighted Autoencoders »
Chin-Wei Huang · Kris Sankaran · Eeshan Dhekane · Alexandre Lacoste · Aaron Courville -
2019 Oral: Hierarchical Importance Weighted Autoencoders »
Chin-Wei Huang · Kris Sankaran · Eeshan Dhekane · Alexandre Lacoste · Aaron Courville -
2018 Poster: Neural Autoregressive Flows »
Chin-Wei Huang · David Krueger · Alexandre Lacoste · Aaron Courville -
2018 Oral: Neural Autoregressive Flows »
Chin-Wei Huang · David Krueger · Alexandre Lacoste · Aaron Courville