Quan Hoang

4 papers · 2018–2020 · 3 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird 🚀 Conference Pioneer

Venues

IJCAI (2) ICLR (1) ICML (1)

Top co-authors

Trung Le (4) Dinh Phung (4) Tu Dinh Nguyen (3) Hung Bui (2) Nhan Dam (1) Hung Vu (1)

Research topics

Deep Learning (3) Models (3) Mathematics & Optimization (2) Machine Learning (1) Architectures (1) Learning Types · Deep Learning (1) Learning Types · Machine Learning (1) Mathematics (1) Optimization (1) Optimization & Theory (1)

Keywords

generative adversarial network (3) mode collapse (2) image generation (2) optimal transport (1) parameter sharing (1) data distribution (1) rate-distortion theory (1) jensen-shannon divergence (1) stochastic encoder (1) blahut-arimoto algorithm (1) amortised duality (1) kantorovich duality (1) wasserstein distance (1) minimax formulation (1) adversarial robustness (1) information bottleneck (1)

Papers

Parameterized Rate-Distortion Stochastic Encoder ICML 2020 Learning Generative Adversarial Networks from Multiple Data Sources IJCAI 2019 Three-Player Wasserstein GAN via Amortised Duality IJCAI 2019 MGAN: Training Generative Adversarial Nets with Multiple Generators ICLR 2018