← Authors

Jonathan Ho

18 papers · 2013–2023 · 6 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (9) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (22) 🧭 Keyword Pioneer 🌍 Conference Polyglot (6) πŸƒ Academic Marathon (10) 🐣 Hot Topic Early Bird πŸ—ƒοΈ Keyword Collector (72) πŸš€ Conference Pioneer πŸ’Ž Century Club (18) πŸ”₯ Unstoppable (6) πŸ“ˆ Trend Setter ⚑ Prolific Year (5)

Conferences

NIPS (7) ICLR (5) ICML (3) CVPR (1) JMLR (1) RSS (1)

Top co-authors

Tim Salimans (7) Pieter Abbeel (6) William Chan (5) Mohammad Norouzi (5) Stefano Ermon (3) John Schulman (2) David J Fleet (2) Chitwan Saharia (2) Diederik Kingma (2) Daniel Watson (2)

Keywords

diffusion model (7) image generation (5) generative model (3) variational inference (3) image synthesis (2) lossless compression (2) variational lower bound (2) latent variable model (2) likelihood-based model (2) imitation learning (2) bits-back coding (2) text generation (1) model distillation (1) knowledge distillation (1) policy optimization (1) langevin dynamics (1) video prediction (1) score matching (1) video generation (1) apprenticeship learning (1)

Papers

On Distillation of Guided Diffusion Models CVPR 2023
Discrete Predictor-Corrector Diffusion Models for Image Synthesis ICLR 2023
Novel View Synthesis with Diffusion Models ICLR 2023
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding NIPS 2022
Progressive Distillation for Fast Sampling of Diffusion Models ICLR 2022
Cascaded Diffusion Models for High Fidelity Image Generation JMLR 2022
Video Diffusion Models NIPS 2022
Learning Fast Samplers for Diffusion Models by Differentiating Through Sample Quality ICLR 2022
Structured Denoising Diffusion Models in Discrete State-Spaces NIPS 2021
Variational Diffusion Models NIPS 2021
Denoising Diffusion Probabilistic Models NIPS 2020
Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design ICML 2019
Bit-Swap: Recursive Bits-Back Coding for Lossless Compression with Hierarchical Latent Variables ICML 2019
Compression with Flows via Local Bits-Back Coding NIPS 2019
META LEARNING SHARED HIERARCHIES ICLR 2018
Generative Adversarial Imitation Learning NIPS 2016
Model-Free Imitation Learning with Policy Optimization ICML 2016
Finding Locally Optimal, Collision-Free Trajectories with Sequential Convex Optimization RSS 2013