Ruixiang ZHANG
12 papers · 2018–2025 · 6 venues · across top CS/AI venues
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Papers
Composition and Control with Distilled Energy Diffusion Models and Sequential Monte Carlo
AISTATS 2025
Normalizing Flows are Capable Generative Models
ICML 2025
Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion
ICML 2025
Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning
ICLR 2023
Robust and Controllable Object-Centric Learning through Energy-based Models
ICLR 2023
Learning Representation from Neural Fisher Kernel with Low-rank Approximation
ICLR 2022
Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models
AAAI 2021
RPVNet: A Deep and Efficient Range-Point-Voxel Fusion Network for LiDAR Point Cloud Segmentation
ICCV 2021
Learning Structured Latent Factors from Dependent Data:A Generative Model Framework from Information-Theoretic Perspective
ICML 2020
Perceptual Generative Autoencoders
ICML 2020
Your GAN is Secretly an Energy-based Model and You Should Use Discriminator Driven Latent Sampling
NeurIPS 2020
MetaGAN: An Adversarial Approach to Few-Shot Learning
NeurIPS 2018