← Authors

Arash Vahdat

55 papers · 2012–2025 · 8 conferences · across top CS/AI conferences

Achievements

πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (8) πŸ—ΊοΈ Taxonomy Completionist (10) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (8) πŸƒ Academic Marathon (13) 🐝 Cross-Pollinator (15) πŸ”¬ Deep Specialist (14) 🧬 Topic Evolution πŸ† Keyword Champion (3) 🀝 Dynamic Duo (17) πŸ‘‘ Triple Crown 🌱 Topic Pioneer πŸ—ƒοΈ Keyword Collector (183) ⚑ Prolific Year (7) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ’Ž Century Club (55) πŸ”₯ Unstoppable (11)

Conferences

NIPS (15) ICLR (11) CVPR (10) ICML (10) ICCV (4) ECCV (3) JMLR (1) WACV (1)

Top co-authors

Karsten Kreis (17) Jan Kautz (16) Weili Nie (12) Greg Mori (7) Morteza Mardani (7) Tomas Geffner (6) Jiaming Song (6) Hongxu Yin (5) Pavlo Molchanov (4) Anima Anandkumar (4)

Research topics

Models (1) Analysis (1) Privacy (1) Core AI (1)

Keywords

diffusion model (8) generative model (6) variational autoencoder (6) image generation (4) denoising diffusion model (3) latent space (3) boltzmann machine (3) support vector machine (3) image classification (3) text-to-image diffusion (2) latent variable (2) semi-supervised learning (2) semantic segmentation (2) controllable generation (2) latent variable model (2) group activity recognition (2) label noise (2) visual recognition (2) hierarchical model (2) compositional generation (2)

Papers

Score-Based Diffusion Models in Function Space JMLR 2025
GenMol: A Drug Discovery Generalist with Discrete Diffusion ICML 2025
Adaptive Flow Matching for Resolving Small-Scale Physics ICML 2025
BlobGEN-Vid: Compositional Text-to-Video Generation with Blob Video Representations CVPR 2025
Not-So-Optimal Transport Flows for 3D Point Cloud Generation ICLR 2025
Truncated Consistency Models ICLR 2025
ProtComposer: Compositional Protein Structure Generation with 3D Ellipsoids ICLR 2025
Proteina: Scaling Flow-based Protein Structure Generative Models ICLR 2025
Heavy-Tailed Diffusion Models ICLR 2025
Energy-Based Diffusion Language Models for Text Generation ICLR 2025
Elucidating Optimal Reward-Diversity Tradeoffs in Text-to-Image Diffusion Models WACV 2025
Aligning Target-Aware Molecule Diffusion Models with Exact Energy Optimization NIPS 2024
DiffiT: Diffusion Vision Transformers for Image Generation ECCV 2024
DisCo-Diff: Enhancing Continuous Diffusion Models with Discrete Latents ICML 2024
Compositional Text-to-Image Generation with Dense Blob Representations ICML 2024
A Variational Perspective on Solving Inverse Problems with Diffusion Models ICLR 2024
Warped Diffusion: Solving Video Inverse Problems with Image Diffusion Models NIPS 2024
Molecule Generation with Fragment Retrieval Augmentation NIPS 2024
I$^2$SB: Image-to-Image SchrΓΆdinger Bridge ICML 2023
Loss-Guided Diffusion Models for Plug-and-Play Controllable Generation ICML 2023
Fast Sampling of Diffusion Models via Operator Learning ICML 2023
PhysDiff: Physics-Guided Human Motion Diffusion Model ICCV 2023
Open-Vocabulary Panoptic Segmentation With Text-to-Image Diffusion Models CVPR 2023
Recurrence Without Recurrence: Stable Video Landmark Detection With Deep Equilibrium Models CVPR 2023
Pseudoinverse-Guided Diffusion Models for Inverse Problems ICLR 2023
Score-Based Generative Modeling with Critically-Damped Langevin Diffusion ICLR 2022
LION: Latent Point Diffusion Models for 3D Shape Generation NIPS 2022
GENIE: Higher-Order Denoising Diffusion Solvers NIPS 2022
A-ViT: Adaptive Tokens for Efficient Vision Transformer CVPR 2022
LANA: Latency Aware Network Acceleration ECCV 2022
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs ICLR 2022
Diffusion Models for Adversarial Purification ICML 2022
Controllable and Compositional Generation with Latent-Space Energy-Based Models NIPS 2021
See Through Gradients: Image Batch Recovery via GradInversion CVPR 2021
A Contrastive Learning Approach for Training Variational Autoencoder Priors NIPS 2021
Score-based Generative Modeling in Latent Space NIPS 2021
Don’t Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence NIPS 2021
VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models ICLR 2021
Undirected Graphical Models as Approximate Posteriors ICML 2020
NVAE: A Deep Hierarchical Variational Autoencoder NIPS 2020
On the distance between two neural networks and the stability of learning NIPS 2020
Contrastive Learning for Weakly Supervised Phrase Grounding ECCV 2020
Semi-Supervised Semantic Image Segmentation With Self-Correcting Networks CVPR 2020
UNAS: Differentiable Architecture Search Meets Reinforcement Learning CVPR 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 NIPS 2018
Toward Robustness against Label Noise in Training Deep Discriminative Neural Networks NIPS 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 NIPS 2013
Kernel Latent SVM for Visual Recognition NIPS 2012