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Arash Vahdat

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

Achievements

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+15 more ↓ 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (10) 🌍 Conference Polyglot (8)
🌍 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)

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