Arash Vahdat
55 papers · 2012–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π£ Hot Topic Early Bird π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (10) π Conference Polyglot (8)
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Conference Polyglot
(8)
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Academic Marathon
(13)
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Cross-Pollinator
(15)
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Deep Specialist
(14)
π§¬
Topic Evolution
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Keyword Champion
(3)
π€
Dynamic Duo
(17)
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Triple Crown
π±
Topic Pioneer
ποΈ
Keyword Collector
(183)
β‘
Prolific Year
(7)
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Conference Pioneer
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Trend Setter
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Century Club
(55)
π₯
Unstoppable
(11)
Conferences
NIPS (15)
ICLR (11)
CVPR (10)
ICML (10)
ICCV (4)
ECCV (3)
JMLR (1)
WACV (1)
Top co-authors
Research topics
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
Donβt 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