Vahdat, Arash

71 publications

ICLR 2026 Exploring Synthesizable Chemical Space with Iterative Pathway Refinements Seul Lee, Karsten Kreis, Srimukh Prasad Veccham, Meng Liu, Danny Reidenbach, Saee Gopal Paliwal, Weili Nie, Arash Vahdat

ICLR 2026 La-Proteina: Atomistic Protein Generation via Partially Latent Flow Matching Tomas Geffner, Kieran Didi, Zhonglin Cao, Danny Reidenbach, Zuobai Zhang, Christian Dallago, Emine Kucukbenli, Karsten Kreis, Arash Vahdat

ICLR 2026 Scaling Atomistic Protein Binder Design with Generative Pretraining and Test-Time Compute Kieran Didi, Zuobai Zhang, Guoqing Zhou, Danny Reidenbach, Zhonglin Cao, Sooyoung Cha, Tomas Geffner, Christian Dallago, Jian Tang, Michael M. Bronstein, Martin Steinegger, Emine Kucukbenli, Arash Vahdat, Karsten Kreis

ICML 2025 Adaptive Flow Matching for Resolving Small-Scale Physics Stathi Fotiadis, Noah D Brenowitz, Tomas Geffner, Yair Cohen, Michael Pritchard, Arash Vahdat, Morteza Mardani

CVPR 2025 BlobGEN-Vid: Compositional Text-to-Video Generation with Blob Video Representations Weixi Feng, Chao Liu, Sifei Liu, William Yang Wang, Arash Vahdat, Weili Nie

NeurIPS 2025 Elucidated Rolling Diffusion Models for Probabilistic Forecasting of Complex Dynamics Salva Rühling Cachay, Miika Aittala, Karsten Kreis, Noah D Brenowitz, Arash Vahdat, Morteza Mardani, Rose Yu

WACV 2025 Elucidating Optimal Reward-Diversity Tradeoffs in Text-to-Image Diffusion Models Rohit Jena, Ali Taghibakhshi, Sahil Jain, Gerald Shen, Nima Tajbakhsh, Arash Vahdat

ICLR 2025 Energy-Based Diffusion Language Models for Text Generation Minkai Xu, Tomas Geffner, Karsten Kreis, Weili Nie, Yilun Xu, Jure Leskovec, Stefano Ermon, Arash Vahdat

ICML 2025 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

ICLR 2025 Heavy-Tailed Diffusion Models Kushagra Pandey, Jaideep Pathak, Yilun Xu, Stephan Mandt, Michael Pritchard, Arash Vahdat, Morteza Mardani

ICLR 2025 Not-so-Optimal Transport Flows for 3D Point Cloud Generation Ka-Hei Hui, Chao Liu, Xiaohui Zeng, Chi-Wing Fu, Arash Vahdat

ICLR 2025 ProtComposer: Compositional Protein Structure Generation with 3D Ellipsoids Hannes Stark, Bowen Jing, Tomas Geffner, Jason Yim, Tommi Jaakkola, Arash Vahdat, Karsten Kreis

ICLR 2025 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 Kucukbenli, Arash Vahdat, Karsten Kreis

JMLR 2025 Score-Based Diffusion Models in Function Space Jae Hyun Lim, Nikola B. Kovachki, Ricardo Baptista, Christopher Beckham, Kamyar Azizzadenesheli, Jean Kossaifi, Vikram Voleti, Jiaming Song, Karsten Kreis, Jan Kautz, Christopher Pal, Arash Vahdat, Anima Anandkumar

ICLR 2025 Truncated Consistency Models Sangyun Lee, Yilun Xu, Tomas Geffner, Giulia Fanti, Karsten Kreis, Arash Vahdat, Weili Nie

NeurIPS 2025 Trust Region Constrained Measure Transport in Path Space for Stochastic Optimal Control and Inference Denis Blessing, Julius Berner, Lorenz Richter, Carles Domingo-Enrich, Yuanqi Du, Arash Vahdat, Gerhard Neumann

ICLR 2024 A Variational Perspective on Solving Inverse Problems with Diffusion Models Morteza Mardani, Jiaming Song, Jan Kautz, Arash Vahdat

TMLR 2024 AGG: Amortized Generative 3D Gaussians for Single Image to 3D Dejia Xu, Ye Yuan, Morteza Mardani, Sifei Liu, Jiaming Song, Zhangyang Wang, Arash Vahdat

NeurIPS 2024 Aligning Target-Aware Molecule Diffusion Models with Exact Energy Optimization Siyi Gu, Minkai Xu, Alexander Powers, Weili Nie, Tomas Geffner, Karsten Kreis, Jure Leskovec, Arash Vahdat, Stefano Ermon

ICML 2024 Compositional Text-to-Image Generation with Dense Blob Representations Weili Nie, Sifei Liu, Morteza Mardani, Chao Liu, Benjamin Eckart, Arash Vahdat

ECCVW 2024 Compositional Text-to-Image Generation with Feedforward Layout Generation Sifei Liu, Weili Nie, An-Chieh Cheng, Morteza Mardani, Chao Liu, Benjamin Eckart, Arash Vahdat

ECCV 2024 DiffiT: Diffusion Vision Transformers for Image Generation Ali Hatamizadeh, Jiaming Song, Guilin Liu, Jan Kautz, Arash Vahdat

ICML 2024 DisCo-Diff: Enhancing Continuous Diffusion Models with Discrete Latents Yilun Xu, Gabriele Corso, Tommi Jaakkola, Arash Vahdat, Karsten Kreis

TMLR 2024 Fast Training of Diffusion Models with Masked Transformers Hongkai Zheng, Weili Nie, Arash Vahdat, Anima Anandkumar

NeurIPS 2024 Molecule Generation with Fragment Retrieval Augmentation Seul Lee, Karsten Kreis, Srimukh Prasad Veccham, Meng Liu, Danny Reidenbach, Saee Paliwal, Arash Vahdat, Weili Nie

NeurIPS 2024 Warped Diffusion: Solving Video Inverse Problems with Image Diffusion Models Giannis Daras, Weili Nie, Karsten Kreis, Alexandros G. Dimakis, Morteza Mardani, Nikola B. Kovachki, Arash Vahdat

TMLR 2023 Differentially Private Diffusion Models Tim Dockhorn, Tianshi Cao, Arash Vahdat, Karsten Kreis

TMLR 2023 Dr-Fairness: Dynamic Data Ratio Adjustment for Fair Training on Real and Generated Data Yuji Roh, Weili Nie, De-An Huang, Steven Euijong Whang, Arash Vahdat, Anima Anandkumar

ICML 2023 Fast Sampling of Diffusion Models via Operator Learning Hongkai Zheng, Weili Nie, Arash Vahdat, Kamyar Azizzadenesheli, Anima Anandkumar

ICML 2023 I$^2$SB: Image-to-Image Schrödinger Bridge Guan-Horng Liu, Arash Vahdat, De-An Huang, Evangelos Theodorou, Weili Nie, Anima Anandkumar

ICML 2023 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

CVPR 2023 Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models Jiarui Xu, Sifei Liu, Arash Vahdat, Wonmin Byeon, Xiaolong Wang, Shalini De Mello

ICCV 2023 PhysDiff: Physics-Guided Human Motion Diffusion Model Ye Yuan, Jiaming Song, Umar Iqbal, Arash Vahdat, Jan Kautz

ICLR 2023 Pseudoinverse-Guided Diffusion Models for Inverse Problems Jiaming Song, Arash Vahdat, Morteza Mardani, Jan Kautz

CVPR 2023 Recurrence Without Recurrence: Stable Video Landmark Detection with Deep Equilibrium Models Paul Micaelli, Arash Vahdat, Hongxu Yin, Jan Kautz, Pavlo Molchanov

NeurIPSW 2023 Regularization by Denoising Diffusion Process for MRI Reconstruction Batu Ozturkler, Morteza Mardani, Arash Vahdat, Jan Kautz, John M. Pauly

CVPR 2022 A-ViT: Adaptive Tokens for Efficient Vision Transformer Hongxu Yin, Arash Vahdat, Jose M. Alvarez, Arun Mallya, Jan Kautz, Pavlo Molchanov

ICML 2022 Diffusion Models for Adversarial Purification Weili Nie, Brandon Guo, Yujia Huang, Chaowei Xiao, Arash Vahdat, Animashree Anandkumar

NeurIPSW 2022 Fast Sampling of Diffusion Models via Operator Learning Hongkai Zheng, Weili Nie, Arash Vahdat, Kamyar Azizzadenesheli, Anima Anandkumar

NeurIPS 2022 GENIE: Higher-Order Denoising Diffusion Solvers Tim Dockhorn, Arash Vahdat, Karsten Kreis

ECCV 2022 LANA: Latency Aware Network Acceleration Pavlo Molchanov, Jimmy Hall, Hongxu Yin, Jan Kautz, Nicolo Fusi, Arash Vahdat

NeurIPS 2022 LION: Latent Point Diffusion Models for 3D Shape Generation Xiaohui Zeng, Arash Vahdat, Francis Williams, Zan Gojcic, Or Litany, Sanja Fidler, Karsten Kreis

ICLR 2022 Score-Based Generative Modeling with Critically-Damped Langevin Diffusion Tim Dockhorn, Arash Vahdat, Karsten Kreis

ICLR 2022 Tackling the Generative Learning Trilemma with Denoising Diffusion GANs Zhisheng Xiao, Karsten Kreis, Arash Vahdat

NeurIPS 2021 A Contrastive Learning Approach for Training Variational Autoencoder Priors Jyoti Aneja, Alex Schwing, Jan Kautz, Arash Vahdat

NeurIPS 2021 Controllable and Compositional Generation with Latent-Space Energy-Based Models Weili Nie, Arash Vahdat, Anima Anandkumar

NeurIPS 2021 Don’t Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence Tianshi Cao, Alex Bie, Arash Vahdat, Sanja Fidler, Karsten Kreis

NeurIPS 2021 Score-Based Generative Modeling in Latent Space Arash Vahdat, Karsten Kreis, Jan Kautz

CVPR 2021 See Through Gradients: Image Batch Recovery via GradInversion Hongxu Yin, Arun Mallya, Arash Vahdat, Jose M. Alvarez, Jan Kautz, Pavlo Molchanov

ICLR 2021 VAEBM: A Symbiosis Between Variational Autoencoders and Energy-Based Models Zhisheng Xiao, Karsten Kreis, Jan Kautz, Arash Vahdat

ECCV 2020 Contrastive Learning for Weakly Supervised Phrase Grounding Tanmay Gupta, Arash Vahdat, Gal Chechik, Xiaodong Yang, Jan Kautz, Derek Hoiem

NeurIPS 2020 NVAE: A Deep Hierarchical Variational Autoencoder Arash Vahdat, Jan Kautz

NeurIPS 2020 On the Distance Between Two Neural Networks and the Stability of Learning Jeremy Bernstein, Arash Vahdat, Yisong Yue, Ming-Yu Liu

CVPR 2020 Semi-Supervised Semantic Image Segmentation with Self-Correcting Networks Mostafa S. Ibrahim, Arash Vahdat, Mani Ranjbar, William G. Macready

CVPR 2020 UNAS: Differentiable Architecture Search Meets Reinforcement Learning Arash Vahdat, Arun Mallya, Ming-Yu Liu, Jan Kautz

ICML 2020 Undirected Graphical Models as Approximate Posteriors Arash Vahdat, Evgeny Andriyash, William Macready

ICCV 2019 A Robust Learning Approach to Domain Adaptive Object Detection Mehran Khodabandeh, Arash Vahdat, Mani Ranjbar, William G. Macready

NeurIPS 2018 DVAE#: Discrete Variational Autoencoders with Relaxed Boltzmann Priors Arash Vahdat, Evgeny Andriyash, William Macready

ICML 2018 DVAE++: Discrete Variational Autoencoders with Overlapping Transformations Arash Vahdat, William Macready, Zhengbing Bian, Amir Khoshaman, Evgeny Andriyash

NeurIPS 2017 Toward Robustness Against Label Noise in Training Deep Discriminative Neural Networks Arash Vahdat

CVPR 2016 A Hierarchical Deep Temporal Model for Group Activity Recognition Mostafa S. Ibrahim, Srikanth Muralidharan, Zhiwei Deng, Arash Vahdat, Greg Mori

CVPR 2016 Structure Inference Machines: Recurrent Neural Networks for Analyzing Relations in Group Activity Recognition Zhiwei Deng, Arash Vahdat, Hexiang Hu, Greg Mori

CVPRW 2015 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

CVPR 2015 Visual Recognition by Counting Instances: A Multi-Instance Cardinality Potential Kernel Hossein Hajimirsadeghi, Wang Yan, Arash Vahdat, Greg Mori

ECCV 2014 Discovering Video Clusters from Visual Features and Noisy Tags Arash Vahdat, Guang-Tong Zhou, Greg Mori

ICCV 2013 Compositional Models for Video Event Detection: A Multiple Kernel Learning Latent Variable Approach Arash Vahdat, Kevin Cannons, Greg Mori, Sangmin Oh, Ilseo Kim

ICCV 2013 Handling Uncertain Tags in Visual Recognition Arash Vahdat, Greg Mori

NeurIPS 2013 Latent Maximum Margin Clustering Guang-Tong Zhou, Tian Lan, Arash Vahdat, Greg Mori

CVPR 2012 Complex Loss Optimization via Dual Decomposition Mani Ranjbar, Arash Vahdat, Greg Mori

NeurIPS 2012 Kernel Latent SVM for Visual Recognition Weilong Yang, Yang Wang, Arash Vahdat, Greg Mori

ECCV 2012 Similarity Constrained Latent Support Vector Machine: An Application to Weakly Supervised Action Classification Nataliya Shapovalova, Arash Vahdat, Kevin J. Cannons, Tian Lan, Greg Mori