Arash Vahdat
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
50
Venues
11
Active years
2009–2025
Best venue rank
A*
Where they publish
Papers
50 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | BlobGEN-Vid: Compositional Text-to-Video Generation with Blob Video Representations. | Weixi Feng, Chao Liu, Sifei Liu, William Yang Wang, Arash Vahdat, Weili Nie |
| 2025 | ICLR | Proteina: Scaling Flow-based Protein Structure Generative Models. | Tomas Geffner, Kieran Didi, Zuobai Zhang, Danny Reidenbach, Zhonglin Cao, Jason Yim, Mario Geiger, Christian Dallago, Emine Kkbenli, Arash Vahdat, Karsten Kreis |
| 2025 | ICLR | Not-So-Optimal Transport Flows for 3D Point Cloud Generation. | Ka-Hei Hui, Chao Liu, Xiaohui Zeng, Chi-Wing Fu, Arash Vahdat |
| 2025 | ICLR | Truncated Consistency Models. | Sangyun Lee, Yilun Xu, Tomas Geffner, Giulia Fanti, Karsten Kreis, Arash Vahdat, Weili Nie |
| 2025 | ICLR | Heavy-Tailed Diffusion Models. | Kushagra Pandey, Jaideep Pathak, Yilun Xu, Stephan Mandt, Michael S. Pritchard, Arash Vahdat, Morteza Mardani |
| 2025 | ICLR | ProtComposer: Compositional Protein Structure Generation with 3D Ellipsoids. | Hannes Strk, Bowen Jing, Tomas Geffner, Jason Yim, Tommi S. Jaakkola, Arash Vahdat, Karsten Kreis |
| 2025 | ICLR | Energy-Based Diffusion Language Models for Text Generation. | Minkai Xu, Tomas Geffner, Karsten Kreis, Weili Nie, Yilun Xu, Jure Leskovec, Stefano Ermon, Arash Vahdat |
| 2025 | ICML | Adaptive Flow Matching for Resolving Small-Scale Physics. | Stathi Fotiadis, Noah D. Brenowitz, Tomas Geffner, Yair Cohen, Michael S. Pritchard, Arash Vahdat, Morteza Mardani |
| 2025 | ICML | GenMol: A Drug Discovery Generalist with Discrete Diffusion. | Seul Lee, Karsten Kreis, Srimukh Prasad Veccham, Meng Liu, Danny Reidenbach, Yuxing Peng, Saee Gopal Paliwal, Weili Nie, Arash Vahdat |
| 2025 | WACV | Elucidating Optimal Reward-Diversity Tradeoffs in Text-to-Image Diffusion Models. | Rohit Jena, Ali Taghibakhshi, Sahil Jain, Gerald Shen, Nima Tajbakhsh, Arash Vahdat |
| 2024 | ECCV | DiffiT: Diffusion Vision Transformers for Image Generation. | Ali Hatamizadeh, Jiaming Song, Guilin Liu, Jan Kautz, Arash Vahdat |
| 2024 | ECCV | Compositional Text-to-Image Generation with Feedforward Layout Generation. | Sifei Liu, Weili Nie, An-Chieh Cheng, Morteza Mardani, Chao Liu, Benjamin Eckart, Arash Vahdat |
| 2024 | ICLR | A Variational Perspective on Solving Inverse Problems with Diffusion Models. | Morteza Mardani, Jiaming Song, Jan Kautz, Arash Vahdat |
| 2024 | ICML | Compositional Text-to-Image Generation with Dense Blob Representations. | Weili Nie, Sifei Liu, Morteza Mardani, Chao Liu, Benjamin Eckart, Arash Vahdat |
| 2024 | ICML | DisCo-Diff: Enhancing Continuous Diffusion Models with Discrete Latents. | Yilun Xu, Gabriele Corso, Tommi S. Jaakkola, Arash Vahdat, Karsten Kreis |
| 2024 | SiggraphA | BlobGEN-3D: Compositional 3D-Consistent Freeview Image Generation with 3D Blobs. | Chao Liu, Weili Nie, Sifei Liu, Abhishek Badki, Hang Su, Morteza Mardani, Benjamin Eckart, Arash Vahdat |
| 2024 | SiggraphA | DiffUHaul: A Training-Free Method for Object Dragging in Images. | Omri Avrahami, Rinon Gal, Gal Chechik, Ohad Fried, Dani Lischinski, Arash Vahdat, Weili Nie |
| 2023 | CVPR | Recurrence without Recurrence: Stable Video Landmark Detection with Deep Equilibrium Models. | Paul Micaelli, Arash Vahdat, Hongxu Yin, Jan Kautz, Pavlo Molchanov |
| 2023 | CVPR | Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models. | Jiarui Xu, Sifei Liu, Arash Vahdat, Wonmin Byeon, Xiaolong Wang, Shalini De Mello |
| 2023 | ICCV | PhysDiff: Physics-Guided Human Motion Diffusion Model. | Ye Yuan, Jiaming Song, Umar Iqbal, Arash Vahdat, Jan Kautz |
| 2023 | ICLR | Pseudoinverse-Guided Diffusion Models for Inverse Problems. | Jiaming Song, Arash Vahdat, Morteza Mardani, Jan Kautz |
| 2023 | ICML | I | Guan-Horng Liu, Arash Vahdat, De-An Huang, Evangelos A. Theodorou, Weili Nie, Anima Anandkumar |
| 2023 | ICML | Loss-Guided Diffusion Models for Plug-and-Play Controllable Generation. | Jiaming Song, Qinsheng Zhang, Hongxu Yin, Morteza Mardani, Ming-Yu Liu, Jan Kautz, Yongxin Chen, Arash Vahdat |
| 2023 | ICML | Fast Sampling of Diffusion Models via Operator Learning. | Hongkai Zheng, Weili Nie, Arash Vahdat, Kamyar Azizzadenesheli, Anima Anandkumar |
| 2022 | BMVC | Shifting Transformation Learning for Robust Out-of-Distribution Detection. | Sina Mohseni, Arash Vahdat, Jay Yadawa |
| 2022 | CVPR | A-ViT: Adaptive Tokens for Efficient Vision Transformer. | Hongxu Yin, Arash Vahdat, Jos M. lvarez, Arun Mallya, Jan Kautz, Pavlo Molchanov |
| 2022 | ECCV | LANA: Latency Aware Network Acceleration. | Pavlo Molchanov, Jimmy Hall, Hongxu Yin, Jan Kautz, Nicol Fusi, Arash Vahdat |
| 2022 | ICLR | Score-Based Generative Modeling with Critically-Damped Langevin Diffusion. | Tim Dockhorn, Arash Vahdat, Karsten Kreis |
| 2022 | ICLR | Tackling the Generative Learning Trilemma with Denoising Diffusion GANs. | Zhisheng Xiao, Karsten Kreis, Arash Vahdat |
| 2022 | ICML | Diffusion Models for Adversarial Purification. | Weili Nie, Brandon Guo, Yujia Huang, Chaowei Xiao, Arash Vahdat, Animashree Anandkumar |
| 2021 | CVPR | See Through Gradients: Image Batch Recovery via GradInversion. | Hongxu Yin, Arun Mallya, Arash Vahdat, Jos M. lvarez, Jan Kautz, Pavlo Molchanov |
| 2021 | ICLR | VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models. | Zhisheng Xiao, Karsten Kreis, Jan Kautz, Arash Vahdat |
| 2020 | CVPR | Semi-Supervised Semantic Image Segmentation With Self-Correcting Networks. | Mostafa S. Ibrahim, Arash Vahdat, Mani Ranjbar, William G. Macready |
| 2020 | CVPR | UNAS: Differentiable Architecture Search Meets Reinforcement Learning. | Arash Vahdat, Arun Mallya, Ming-Yu Liu, Jan Kautz |
| 2020 | ECCV | Contrastive Learning for Weakly Supervised Phrase Grounding. | Tanmay Gupta, Arash Vahdat, Gal Chechik, Xiaodong Yang, Jan Kautz, Derek Hoiem |
| 2020 | ICML | Undirected Graphical Models as Approximate Posteriors. | Arash Vahdat, Evgeny Andriyash, William G. Macready |
| 2019 | ICCV | A Robust Learning Approach to Domain Adaptive Object Detection. | Mehran Khodabandeh, Arash Vahdat, Mani Ranjbar, William G. Macready |
| 2018 | ICML | DVAE++: Discrete Variational Autoencoders with Overlapping Transformations. | Arash Vahdat, William G. Macready, Zhengbing Bian, Amir Khoshaman, Evgeny Andriyash |
| 2016 | CVPR | Structure Inference Machines: Recurrent Neural Networks for Analyzing Relations in Group Activity Recognition. | Zhiwei Deng, Arash Vahdat, Hexiang Hu, Greg Mori |
| 2016 | CVPR | A Hierarchical Deep Temporal Model for Group Activity Recognition. | Mostafa S. Ibrahim, Srikanth Muralidharan, Zhiwei Deng, Arash Vahdat, Greg Mori |
| 2016 | ICPR | Unsupervised learning of supervoxel embeddings for video Segmentation. | Mehran Khodabandeh, Srikanth Muralidharan, Arash Vahdat, Nazanin Mehrasa, Eduardo M. Pereira, Shin'ichi Satoh, Greg Mori |
| 2015 | CVPR | Visual recognition by counting instances: A multi-instance cardinality potential kernel. | Hossein Hajimirsadeghi, Wang Yan, Arash Vahdat, Greg Mori |
| 2015 | CVPR | Discovering human interactions in videos with limited data labeling. | Mehran Khodabandeh, Arash Vahdat, Guang-Tong Zhou, Hossein Hajimirsadeghi, Mehrsan Javan Roshtkhari, Greg Mori, Stephen Se |
| 2014 | ECCV | Discovering Video Clusters from Visual Features and Noisy Tags. | Arash Vahdat, Guang-Tong Zhou, Greg Mori |
| 2013 | ICCV | Compositional Models for Video Event Detection: A Multiple Kernel Learning Latent Variable Approach. | Arash Vahdat, Kevin J. Cannons, Greg Mori, Sangmin Oh, Ilseo Kim |
| 2013 | ICCV | Handling Uncertain Tags in Visual Recognition. | Arash Vahdat, Greg Mori |
| 2012 | CVPR | Complex loss optimization via dual decomposition. | Mani Ranjbar, Arash Vahdat, Greg Mori |
| 2012 | ECCV | Similarity Constrained Latent Support Vector Machine: An Application to Weakly Supervised Action Classification. | Nataliya Shapovalova, Arash Vahdat, Kevin J. Cannons, Tian Lan, Greg Mori |
| 2010 | MICCAI | Generalized Sparse Classifiers for Decoding Cognitive States in fMRI. | Bernard Ng, Arash Vahdat, Ghassan Hamarneh, Rafeef Abugharbieh |
| 2009 | ICIP | Face virtual pose generation using aligned locally linear regression for face recognition. | Mohammad H. Rohban, Hamid R. Rabiee, Arash Vahdat |