Arash Vahdat
56 papers · 2012–2026 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🗺️ Taxonomy Completionist (71) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🔬
Deep Specialist
(25)
🤝
Dynamic Duo
(17)
👑
Triple Crown
🧬
Topic Evolution
🏆
Keyword Champion
(3)
🧭
Keyword Pioneer
📈
Trend Setter
🔥
Unstoppable · Silver
⚡
Prolific Year · Prolific
🗃️
Keyword Collector
(243)
🌈
Renaissance Researcher
(6)
💎
Century Club · Silver
🚀
Conference Pioneer
Top co-authors
Research topics
Deep Learning
(43)
Models
(37)
Machine Learning
(31)
Computer Vision
(28)
Generation
(15)
Optimization & Theory
(14)
Core Methods
(11)
Learning Types · Machine Learning
(11)
Analysis
(9)
Learning Types · Deep Learning
(9)
Artificial Intelligence
(8)
Architectures
(8)
Processing
(8)
Application Areas
(5)
Core AI
(5)
Keywords
diffusion model
(15)
generative model
(8)
variational autoencoder
(7)
image generation
(5)
denoising diffusion model
(4)
latent space
(4)
variational inference
(3)
boltzmann machine
(3)
image classification
(3)
image restoration
(3)
support vector machine
(3)
latent variable model
(3)
energy-based model
(3)
score matching
(2)
group activity recognition
(2)
semi-supervised learning
(2)
semantic segmentation
(2)
markov chain monte carlo
(2)
visual recognition
(2)
label noise
(2)
Papers
Transition Matching Distillation for Fast Video Generation
CVPR 2026
Adaptive Flow Matching for Resolving Small-Scale Physics
ICML 2025
BlobGEN-Vid: Compositional Text-to-Video Generation with Blob Video Representations
CVPR 2025
Elucidating Optimal Reward-Diversity Tradeoffs in Text-to-Image Diffusion Models
WACV 2025
Energy-Based Diffusion Language Models for Text Generation
ICLR 2025
GenMol: A Drug Discovery Generalist with Discrete Diffusion
ICML 2025
Heavy-Tailed Diffusion Models
ICLR 2025
Not-So-Optimal Transport Flows for 3D Point Cloud Generation
ICLR 2025
ProtComposer: Compositional Protein Structure Generation with 3D Ellipsoids
ICLR 2025
Proteina: Scaling Flow-based Protein Structure Generative Models
ICLR 2025
Score-Based Diffusion Models in Function Space
JMLR 2025
Truncated Consistency Models
ICLR 2025
Aligning Target-Aware Molecule Diffusion Models with Exact Energy Optimization
NeurIPS 2024
A Variational Perspective on Solving Inverse Problems with Diffusion Models
ICLR 2024
Compositional Text-to-Image Generation with Dense Blob Representations
ICML 2024
DiffiT: Diffusion Vision Transformers for Image Generation
ECCV 2024
DisCo-Diff: Enhancing Continuous Diffusion Models with Discrete Latents
ICML 2024
Molecule Generation with Fragment Retrieval Augmentation
NeurIPS 2024
Warped Diffusion: Solving Video Inverse Problems with Image Diffusion Models
NeurIPS 2024
Fast Sampling of Diffusion Models via Operator Learning
ICML 2023
I$^2$SB: Image-to-Image Schrödinger Bridge
ICML 2023
Loss-Guided Diffusion Models for Plug-and-Play Controllable Generation
ICML 2023
Open-Vocabulary Panoptic Segmentation With Text-to-Image Diffusion Models
CVPR 2023
PhysDiff: Physics-Guided Human Motion Diffusion Model
ICCV 2023
Pseudoinverse-Guided Diffusion Models for Inverse Problems
ICLR 2023
Recurrence Without Recurrence: Stable Video Landmark Detection With Deep Equilibrium Models
CVPR 2023
A-ViT: Adaptive Tokens for Efficient Vision Transformer
CVPR 2022
Diffusion Models for Adversarial Purification
ICML 2022
GENIE: Higher-Order Denoising Diffusion Solvers
NeurIPS 2022
LANA: Latency Aware Network Acceleration
ECCV 2022
LION: Latent Point Diffusion Models for 3D Shape Generation
NeurIPS 2022
Score-Based Generative Modeling with Critically-Damped Langevin Diffusion
ICLR 2022
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs
ICLR 2022
A Contrastive Learning Approach for Training Variational Autoencoder Priors
NeurIPS 2021
Controllable and Compositional Generation with Latent-Space Energy-Based Models
NeurIPS 2021
Don’t Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence
NeurIPS 2021
Score-based Generative Modeling in Latent Space
NeurIPS 2021
See Through Gradients: Image Batch Recovery via GradInversion
CVPR 2021
VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models
ICLR 2021
Contrastive Learning for Weakly Supervised Phrase Grounding
ECCV 2020
NVAE: A Deep Hierarchical Variational Autoencoder
NeurIPS 2020
On the distance between two neural networks and the stability of learning
NeurIPS 2020
Semi-Supervised Semantic Image Segmentation With Self-Correcting Networks
CVPR 2020
UNAS: Differentiable Architecture Search Meets Reinforcement Learning
CVPR 2020
Undirected Graphical Models as Approximate Posteriors
ICML 2020
A Robust Learning Approach to Domain Adaptive Object Detection
ICCV 2019
DVAE++: Discrete Variational Autoencoders with Overlapping Transformations
ICML 2018
DVAE#: Discrete Variational Autoencoders with Relaxed Boltzmann Priors
NeurIPS 2018
Toward Robustness against Label Noise in Training Deep Discriminative Neural Networks
NeurIPS 2017
A Hierarchical Deep Temporal Model for Group Activity Recognition
CVPR 2016
Structure Inference Machines: Recurrent Neural Networks for Analyzing Relations in Group Activity Recognition
CVPR 2016
Visual Recognition by Counting Instances: A Multi-Instance Cardinality Potential Kernel
CVPR 2015
Compositional Models for Video Event Detection: A Multiple Kernel Learning Latent Variable Approach
ICCV 2013
Handling Uncertain Tags in Visual Recognition
ICCV 2013
Latent Maximum Margin Clustering
NeurIPS 2013
Kernel Latent SVM for Visual Recognition
NeurIPS 2012