Skip to content
conftrace_

Arash Vahdat

56 papers · 2012–2026 · 8 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Jump to papers ↓
+13 more ↓ 🗺️ Taxonomy Completionist (71) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🔬 Deep Specialist (25) 🤝 Dynamic Duo (17) 👑 Triple Crown 🧬 Topic Evolution 🏆 Keyword Champion (3) 🧭 Keyword Pioneer 📈 Trend Setter 🔥 Unstoppable · Silver ⚡ Prolific Year · Prolific 🗃️ Keyword Collector (243) 🌈 Renaissance Researcher (6) 💎 Century Club · Silver 🚀 Conference Pioneer

Papers

Transition Matching Distillation for Fast Video Generation CVPR 2026 Adaptive Flow Matching for Resolving Small-Scale Physics ICML 2025 BlobGEN-Vid: Compositional Text-to-Video Generation with Blob Video Representations CVPR 2025 Elucidating Optimal Reward-Diversity Tradeoffs in Text-to-Image Diffusion Models WACV 2025 Energy-Based Diffusion Language Models for Text Generation ICLR 2025 GenMol: A Drug Discovery Generalist with Discrete Diffusion ICML 2025 Heavy-Tailed Diffusion Models ICLR 2025 Not-So-Optimal Transport Flows for 3D Point Cloud Generation ICLR 2025 ProtComposer: Compositional Protein Structure Generation with 3D Ellipsoids ICLR 2025 Proteina: Scaling Flow-based Protein Structure Generative Models ICLR 2025 Score-Based Diffusion Models in Function Space JMLR 2025 Truncated Consistency Models ICLR 2025 Aligning Target-Aware Molecule Diffusion Models with Exact Energy Optimization NeurIPS 2024 A Variational Perspective on Solving Inverse Problems with Diffusion Models ICLR 2024 Compositional Text-to-Image Generation with Dense Blob Representations ICML 2024 DiffiT: Diffusion Vision Transformers for Image Generation ECCV 2024 DisCo-Diff: Enhancing Continuous Diffusion Models with Discrete Latents ICML 2024 Molecule Generation with Fragment Retrieval Augmentation NeurIPS 2024 Warped Diffusion: Solving Video Inverse Problems with Image Diffusion Models NeurIPS 2024 Fast Sampling of Diffusion Models via Operator Learning ICML 2023 I$^2$SB: Image-to-Image Schrödinger Bridge ICML 2023 Loss-Guided Diffusion Models for Plug-and-Play Controllable Generation ICML 2023 Open-Vocabulary Panoptic Segmentation With Text-to-Image Diffusion Models CVPR 2023 PhysDiff: Physics-Guided Human Motion Diffusion Model ICCV 2023 Pseudoinverse-Guided Diffusion Models for Inverse Problems ICLR 2023 Recurrence Without Recurrence: Stable Video Landmark Detection With Deep Equilibrium Models CVPR 2023 A-ViT: Adaptive Tokens for Efficient Vision Transformer CVPR 2022 Diffusion Models for Adversarial Purification ICML 2022 GENIE: Higher-Order Denoising Diffusion Solvers NeurIPS 2022 LANA: Latency Aware Network Acceleration ECCV 2022 LION: Latent Point Diffusion Models for 3D Shape Generation NeurIPS 2022 Score-Based Generative Modeling with Critically-Damped Langevin Diffusion ICLR 2022 Tackling the Generative Learning Trilemma with Denoising Diffusion GANs ICLR 2022 A Contrastive Learning Approach for Training Variational Autoencoder Priors NeurIPS 2021 Controllable and Compositional Generation with Latent-Space Energy-Based Models NeurIPS 2021 Don’t Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence NeurIPS 2021 Score-based Generative Modeling in Latent Space NeurIPS 2021 See Through Gradients: Image Batch Recovery via GradInversion CVPR 2021 VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models ICLR 2021 Contrastive Learning for Weakly Supervised Phrase Grounding ECCV 2020 NVAE: A Deep Hierarchical Variational Autoencoder NeurIPS 2020 On the distance between two neural networks and the stability of learning NeurIPS 2020 Semi-Supervised Semantic Image Segmentation With Self-Correcting Networks CVPR 2020 UNAS: Differentiable Architecture Search Meets Reinforcement Learning CVPR 2020 Undirected Graphical Models as Approximate Posteriors ICML 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 NeurIPS 2018 Toward Robustness against Label Noise in Training Deep Discriminative Neural Networks NeurIPS 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 NeurIPS 2013 Kernel Latent SVM for Visual Recognition NeurIPS 2012