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Soheil Kolouri

36 papers · 2015–2026 · 10 conferences · across top CS/AI conferences

Achievements

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+10 more ↓ πŸƒ Academic Marathon (10) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (9) 🐝 Cross-Pollinator (12)
🐝 Cross-Pollinator (12) 🌈 Renaissance Researcher (6) πŸ—ΊοΈ Taxonomy Completionist (52) πŸ‘‘ Triple Crown πŸ† Grand Slam ⚑ Prolific Year (5) πŸ—ƒοΈ Keyword Collector (103) πŸ“ˆ Trend Setter πŸ’Ž Century Club (33) πŸ”₯ Unstoppable (7)

Conferences

ICLR (11) CVPR (9) NIPS (5) AAAI (3) ICML (3) ACML (1) ICCV (1) IJCAI (1) MIDL (1) WACV (1)

Top co-authors

Yikun Bai (8) Xinran Liu (8) Hamed Pirsiavash (5) Ashkan Shahbazi (5) Heiko Hoffmann (5) Gustavo K. Rohde (5) Rocio Diaz Martin (5) Parsa Nooralinejad (4) Mohammad Rostami (3) Ali Abbasi (3)

Keywords

optimal transport (7) sliced wasserstein distance (4) catastrophic forgetting (3) embedding learning (2) neural network (2) domain adaptation (2) partial transport (2) continual learning (2) stochastic gradient descent (1) principal component analysis (1) federated learning (1) transfer learning (1) embedding space (1) manifold regularization (1) adversarial machine learning (1) data poisoning (1) few-shot learning (1) point cloud registration (1) parameter estimation (1) zero-shot learning (1)

Papers

Policy Search, Retrieval, and Composition via Task Similarity in Collaborative Agentic Systems AAAI 2026 UnEBOLT: A Unified Model for EEG-to-BOLD Translation and Functional Connectivity Reconstruction MIDL 2026 Neural-Augmented Kelvinlet for Real-Time Soft Tissue Deformation Modeling AAAI 2026 MCNC: Manifold-Constrained Reparameterization for Neural Compression ICLR 2025 Partial Gromov-Wasserstein Metric ICLR 2025 Linear Spherical Sliced Optimal Transport: A Fast Metric for Comparing Spherical Data ICLR 2025 ESPFormer: Doubly-Stochastic Attention with Expected Sliced Transport Plans ICML 2025 Linear Partial Gromov-Wasserstein Embedding ICLR 2025 Expected Sliced Transport Plans ICLR 2025 LCOT: Linear Circular Optimal Transport ICLR 2024 SLoSH: Set Locality Sensitive Hashing via Sliced-Wasserstein Embeddings WACV 2024 Stereographic Spherical Sliced Wasserstein Distances ICML 2024 BrainWash: A Poisoning Attack to Forget in Continual Learning CVPR 2024 NeuroBOLT: Resting-state EEG-to-fMRI Synthesis with Multi-dimensional Feature Mapping NIPS 2024 NOLA: Compressing LoRA using Linear Combination of Random Basis ICLR 2024 Linear optimal partial transport embedding ICML 2023 Characterizing Out-of-Distribution Error via Optimal Transport NIPS 2023 Sliced Optimal Partial Transport CVPR 2023 PRANC: Pseudo RAndom Networks for Compacting Deep Models ICCV 2023 Lifelong Learning with Sketched Structural Regularization ACML 2021 Wasserstein Embedding for Graph Learning ICLR 2021 Pooling by Sliced-Wasserstein Embedding NIPS 2021 Sliced Cramer Synaptic Consolidation for Preserving Deeply Learned Representations ICLR 2020 Statistical and Topological Properties of Sliced Probability Divergences NIPS 2020 Generative Continual Concept Learning AAAI 2020 Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs CVPR 2020 GAT: Generative Adversarial Training for Adversarial Example Detection and Robust Classification ICLR 2020 Generalized Sliced Wasserstein Distances NIPS 2019 Sliced Wasserstein Auto-Encoders ICLR 2019 Explainability Methods for Graph Convolutional Neural Networks CVPR 2019 Complementary Learning for Overcoming Catastrophic Forgetting Using Experience Replay IJCAI 2019 Sliced Wasserstein Distance for Learning Gaussian Mixture Models CVPR 2018 Image to Image Translation for Domain Adaptation CVPR 2018 Zero Shot Learning via Multi-Scale Manifold Regularization CVPR 2017 Sliced Wasserstein Kernels for Probability Distributions CVPR 2016 Transport-Based Single Frame Super Resolution of Very Low Resolution Face Images CVPR 2015