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Morteza Mardani

16 papers · 2018–2025 · 3 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.

Achievements

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+4 more ↓ πŸŒ‰ Interdisciplinary Bridge Β· Silver 🌍 Conference Polyglot Β· Bronze πŸƒ Academic Marathon Β· Sprint 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (24)
πŸ‘‘ Triple Crown πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (72) πŸ”₯ Unstoppable Β· Bronze

Venues

ICLR (9) ICML (4) NeurIPS (3)

Top co-authors

Arash Vahdat (7) Batu Ozturkler (5) Arda Sahiner (5) Mert Pilanci (5) John M. Pauly (4) Tolga Ergen (4) Jan Kautz (3) Jiaming Song (3) Bryan Catanzaro (2) Weili Nie (2)

Research topics

Deep Learning (15) Machine Learning (12) Optimization & Theory (10) Models (9) Computer Vision (8) Architectures (5) Processing (5) Core Methods (3) Generation (3) Techniques (3) Artificial Intelligence (2) Application Areas (2) Core AI (2) Healthcare & Medicine (1) Clinical (1)

Keywords

convex optimization (5) inverse problem (4) diffusion model (4) neural network (3) image restoration (2) image reconstruction (2) variational inference (2) convex duality (2) flow matching (2) image super-resolution (2) vision transformer (2) video super-resolution (1) image synthesis (1) batch normalization (1) feature learning (1) in-context learning (1) attention mechanism (1) texture synthesis (1) efficient computing (1) deformable convolution (1)

Papers

Adaptive Flow Matching for Resolving Small-Scale Physics ICML 2025 Heavy-Tailed Diffusion Models ICLR 2025 Repulsive Latent Score Distillation for Solving Inverse Problems ICLR 2025 A Variational Perspective on Solving Inverse Problems with Diffusion Models ICLR 2024 Compositional Text-to-Image Generation with Dense Blob Representations ICML 2024 Scaling Convex Neural Networks with Burer-Monteiro Factorization ICLR 2024 Warped Diffusion: Solving Video Inverse Problems with Image Diffusion Models NeurIPS 2024 Loss-Guided Diffusion Models for Plug-and-Play Controllable Generation ICML 2023 Pseudoinverse-Guided Diffusion Models for Inverse Problems ICLR 2023 Demystifying Batch Normalization in ReLU Networks: Equivalent Convex Optimization Models and Implicit Regularization ICLR 2022 Efficient Token Mixing for Transformers via Adaptive Fourier Neural Operators ICLR 2022 Hidden Convexity of Wasserstein GANs: Interpretable Generative Models with Closed-Form Solutions ICLR 2022 Unraveling Attention via Convex Duality: Analysis and Interpretations of Vision Transformers ICML 2022 Convex Regularization behind Neural Reconstruction ICLR 2021 Neural FFTs for Universal Texture Image Synthesis NeurIPS 2020 Neural Proximal Gradient Descent for Compressive Imaging NeurIPS 2018