Jonathan Ho
18 papers · 2013–2023 · 6 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+9 more ↓ Show less ↑
🏃 Academic Marathon (10) 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (6) 🐝 Cross-Pollinator (9)
🌍
Conference Polyglot
(6)
🏃
Academic Marathon
(10)
🐣
Hot Topic Early Bird
🗃️
Keyword Collector
(72)
🚀
Conference Pioneer
💎
Century Club
(18)
🔥
Unstoppable
(6)
📈
Trend Setter
⚡
Prolific Year
(5)
Conferences
NIPS (7)
ICLR (5)
ICML (3)
CVPR (1)
JMLR (1)
RSS (1)
Top co-authors
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