Acoustic tomography of the atmosphere using unscented Kalman filter. - Soheil Kolouri; Mahmood R. Azimi-Sadjadi (EUSIPCO, 2012)

Learning and visualizing statistical relationships between protein distributions from microscopy images. - Soheil Kolouri; Saurav Basu; Gustavo K. Rohde (ISBI, 2014)

Novel computer-aided diagnosis of mesothelioma using nuclear structure of mesothelial cells in effusion cytology specimens. - Akif Burak Tosun; Oleksandr Yergiyev; Soheil Kolouri; Jan F. Silverman; Gustavo K. Rohde (Digital Pathology, 2014)

Quantifying and visualizing variations in sets of images using continuous linear optimal transport. - Soheil Kolouri; Gustavo K. Rohde (Image Processing, 2014)

Accurate diagnosis of thyroid follicular lesions from nuclear morphology using supervised learning. - John A. Ozolek; Akif Burak Tosun; Wei Wang 037; Cheng Chen 003; Soheil Kolouri; Saurav Basu; Hu Huang 004; Gustavo K. Rohde (Medical Image Anal., 2014)

Acoustic Tomography of the Atmosphere Using Unscented Kalman Filter. - Soheil Kolouri; Mahmood R. Azimi-Sadjadi; Astrid Ziemann (IEEE Trans. Geosci. Remote. Sens., 2014)

Transport-based single frame super resolution of very low resolution face images. - Soheil Kolouri; Gustavo K. Rohde (CVPR, 2015)

A symmetric deformation-based similarity measure for shape analysis. - Soheil Kolouri; Dejan Slepcev; Gustavo K. Rohde (ISBI, 2015)

The Cumulative Distribution Transform and Linear Pattern Classification. - Se Rim Park; Soheil Kolouri; Shinjini Kundu; Gustavo K. Rohde (CoRR, 2015)

Sliced Wasserstein Kernels for Probability Distributions. - Soheil Kolouri; Yang Zou; Gustavo K. Rohde (CVPR, 2016)

Transport-based analysis, modeling, and learning from signal and data distributions. - Soheil Kolouri; Serim Park; Matthew Thorpe; Dejan Slepcev; Gustavo K. Rohde (CoRR, 2016)

A continuous linear optimal transport approach for pattern analysis in image datasets. - Soheil Kolouri; Akif Burak Tosun; John A. Ozolek; Gustavo K. Rohde (Pattern Recognit., 2016)

The Radon Cumulative Distribution Transform and Its Application to Image Classification. - Soheil Kolouri; Se Rim Park; Gustavo K. Rohde (IEEE Trans. Image Process., 2016)

Zero Shot Learning via Multi-scale Manifold Regularization. - Shay Deutsch; Soheil Kolouri; Kyungnam Kim; Yuri Owechko; Stefano Soatto (CVPR, 2017)

Explaining Distributed Neural Activations via Unsupervised Learning. - Soheil Kolouri; Charles E. Martin; Heiko Hoffmann (CVPR Workshops, 2017)

Automatic Tactical Adjustment in Real-Time: Modeling Adversary Formations with Radon-Cumulative Distribution Transform and Canonical Correlation Analysis. - Amir M. Rahimi; Soheil Kolouri; Rajan Bhattacharyya (CVPR Workshops, 2017)

A Transportation Lp Distance for Signal Analysis. - Matthew Thorpe; Serim Park; Soheil Kolouri; Gustavo K. Rohde; Dejan Slepcev (J. Math. Imaging Vis., 2017)

Optimal Mass Transport: Signal processing and machine-learning applications. - Soheil Kolouri; Se Rim Park; Matthew Thorpe; Dejan Slepcev; Gustavo K. Rohde (IEEE Signal Process. Mag., 2017)

Joint Dictionaries for Zero-Shot Learning. - Soheil Kolouri; Mohammad Rostami; Yuri Owechko; Kyungnam Kim (AAAI, 2018)

Multi-Agent Distributed Lifelong Learning for Collective Knowledge Acquisition. - Mohammad Rostami; Soheil Kolouri; Kyungnam Kim; Eric Eaton (AAMAS, 2018)

Sliced Wasserstein Distance for Learning Gaussian Mixture Models. - Soheil Kolouri; Gustavo K. Rohde; Heiko Hoffmann (CVPR, 2018)

Image to Image Translation for Domain Adaptation. - Zak Murez; Soheil Kolouri; David J. Kriegman; Ravi Ramamoorthi; Kyungnam Kim (CVPR, 2018)

Sliced-Wasserstein Autoencoder: An Embarrassingly Simple Generative Model. - Soheil Kolouri; Charles E. Martin; Gustavo K. Rohde (CoRR, 2018)

Discovering Molecular Functional Groups Using Graph Convolutional Neural Networks. - Phillip E. Pope; Soheil Kolouri; Mohammad Rostami; Charles E. Martin; Heiko Hoffmann (CoRR, 2018)

Discovery and visualization of structural biomarkers from MRI using transport-based morphometry. - Shinjini Kundu; Soheil Kolouri; Kirk I. Erickson; Arthur F. Kramer; Edward McAuley; Gustavo K. Rohde (NeuroImage, 2018)

Learning a Domain-Invariant Embedding for Unsupervised Domain Adaptation Using Class-Conditioned Distribution Alignment. - Alexander J. Gabourie; Mohammad Rostami; Phillip E. Pope; Soheil Kolouri; Kyungnam Kim (Allerton, 2019)

Explainability Methods for Graph Convolutional Neural Networks. - Phillip E. Pope; Soheil Kolouri; Mohammad Rostami; Charles E. Martin; Heiko Hoffmann (CVPR, 2019)

SAR Image Classification Using Few-Shot Cross-Domain Transfer Learning. - Mohammad Rostami; Soheil Kolouri; Eric Eaton; Kyungnam Kim (CVPR Workshops, 2019)

Sliced Wasserstein Auto-Encoders. - Soheil Kolouri; Phillip E. Pope; Charles E. Martin; Gustavo K. Rohde (ICLR (Poster), 2019)

Complementary Learning for Overcoming Catastrophic Forgetting Using Experience Replay. - Mohammad Rostami; Soheil Kolouri; Praveen K. Pilly (IJCAI, 2019)

Collaborative Learning Through Shared Collective Knowledge and Local Expertise. - Javad Mohammadi; Soheil Kolouri (MLSP, 2019)

Generalized Sliced Wasserstein Distances. - Soheil Kolouri; Kimia Nadjahi; Umut Simsekli; Roland Badeau; Gustavo K. Rohde (NeurIPS, 2019)

Neuromodulated Goal-Driven Perception in Uncertain Domains. - Xinyun Zou; Soheil Kolouri; Praveen K. Pilly; Jeffrey L. Krichmar (CoRR, 2019)

Using World Models for Pseudo-Rehearsal in Continual Learning. - Nicholas Ketz; Soheil Kolouri; Praveen K. Pilly (CoRR, 2019)

Attention-Based Structural-Plasticity. - Soheil Kolouri; Nicholas Ketz; Xinyun Zou; Jeffrey L. Krichmar; Praveen K. Pilly (CoRR, 2019)

On Sampling Random Features From Empirical Leverage Scores: Implementation and Theoretical Guarantees. - Shahin Shahrampour; Soheil Kolouri (CoRR, 2019)

Divide-and-Conquer Adversarial Detection. - Xuwang Yin; Soheil Kolouri; Gustavo K. Rohde (CoRR, 2019)

Zero-Shot Image Classification Using Coupled Dictionary Embedding. - Mohammad Rostami; Soheil Kolouri; Zak Murez; Yuri Owekcho; Eric Eaton; Kyungnam Kim (CoRR, 2019)

Neural Networks, Hypersurfaces, and Radon Transforms. - Soheil Kolouri; Xuwang Yin; Gustavo K. Rohde (CoRR, 2019)

Deep Reinforcement Learning with Modulated Hebbian plus Q Network Architecture. - Pawel Ladosz; Eseoghene Ben-Iwhiwhu; Yang Hu 004; Nicholas Ketz; Soheil Kolouri; Jeffrey L. Krichmar; Praveen K. Pilly; Andrea Soltoggio (CoRR, 2019)

Deep Transfer Learning for Few-Shot SAR Image Classification. - Mohammad Rostami; Soheil Kolouri; Eric Eaton; Kyungnam Kim (Remote. Sens., 2019)

Generative Continual Concept Learning. - Mohammad Rostami; Soheil Kolouri; Praveen K. Pilly; James L. McClelland (AAAI, 2020)

Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs. - Soheil Kolouri; Aniruddha Saha; Hamed Pirsiavash; Heiko Hoffmann (CVPR, 2020)

Sliced Cramer Synaptic Consolidation for Preserving Deeply Learned Representations. - Soheil Kolouri; Nicholas A. Ketz; Andrea Soltoggio; Praveen K. Pilly (ICLR, 2020)

GAT: Generative Adversarial Training for Adversarial Example Detection and Robust Classification. - Xuwang Yin; Soheil Kolouri; Gustavo K. Rohde (ICLR, 2020)

Statistical and Topological Properties of Sliced Probability Divergences. - Kimia Nadjahi; Alain Durmus; Lénaïc Chizat; Soheil Kolouri; Shahin Shahrampour; Umut Simsekli (NeurIPS, 2020)

Generalized Sliced Distances for Probability Distributions. - Soheil Kolouri; Kimia Nadjahi; Umut Simsekli; Shahin Shahrampour (CoRR, 2020)

Detecting Changes and Avoiding Catastrophic Forgetting in Dynamic Partially Observable Environments. - Jeffery Dick; Pawel Ladosz; Eseoghene Ben-Iwhiwhu; Hideyasu Shimadzu; Peter Kinnell; Praveen K. Pilly; Soheil Kolouri; Andrea Soltoggio (Frontiers Neurorobotics, 2020)

Neuromodulated attention and goal-driven perception in uncertain domains. - Xinyun Zou; Soheil Kolouri; Praveen K. Pilly; Jeffrey L. Krichmar (Neural Networks, 2020)

Neural Networks, Hypersurfaces, and the Generalized Radon Transform [Lecture Notes]. - Soheil Kolouri; Xuwang Yin; Gustavo K. Rohde (IEEE Signal Process. Mag., 2020)

Lifelong Learning with Sketched Structural Regularization. - Haoran Li 006; Aditya Krishnan 001; Jingfeng Wu; Soheil Kolouri; Praveen K. Pilly; Vladimir Braverman (ACML, 2021)

Wasserstein Embedding for Graph Learning. - Soheil Kolouri; Navid Naderializadeh; Gustavo K. Rohde; Heiko Hoffmann (ICLR, 2021)

Pooling by Sliced-Wasserstein Embedding. - Navid Naderializadeh; Joseph F. Comer; Reed W. Andrews; Heiko Hoffmann; Soheil Kolouri (NeurIPS, 2021)

Set Representation Learning with Generalized Sliced-Wasserstein Embeddings. - Navid Naderializadeh; Soheil Kolouri; Joseph F. Comer; Reed W. Andrews; Heiko Hoffmann (CoRR, 2021)

Radon Cumulative Distribution Transform Subspace Modeling for Image Classification. - Mohammad Shifat-E.-Rabbi; Xuwang Yin; Abu Hasnat Mohammad Rubaiyat; Shiying Li 002; Soheil Kolouri; Akram Aldroubi; Jonathan M. Nichols; Gustavo K. Rohde (J. Math. Imaging Vis., 2021)

Sparsity and Heterogeneous Dropout for Continual Learning in the Null Space of Neural Activations. - Ali Abbasi 008; Parsa Nooralinejad; Vladimir Braverman; Hamed Pirsiavash; Soheil Kolouri (CoLLAs, 2022)

Generalized Sliced Probability Metrics. - Soheil Kolouri; Kimia Nadjahi; Shahin Shahrampour; Umut Simsekli (ICASSP, 2022)

PRANC: Pseudo RAndom Networks for Compacting deep models. - Parsa Nooralinejad; Ali Abbasi 008; Soheil Kolouri; Hamed Pirsiavash (CoRR, 2022)

Biological underpinnings for lifelong learning machines. - Dhireesha Kudithipudi; Mario Aguilar-Simon; Jonathan Babb; Maxim Bazhenov; Douglas Blackiston; Josh C. Bongard; Andrew P. Brna; Suraj Chakravarthi Raja; Nick Cheney; Jeff Clune; Anurag Reddy Daram; Stefano Fusi; et al. (Nat. Mach. Intell., 2022)

Deep Reinforcement Learning With Modulated Hebbian Plus Q-Network Architecture. - Pawel Ladosz; Eseoghene Ben-Iwhiwhu; Jeffery Dick; Nicholas Ketz; Soheil Kolouri; Jeffrey L. Krichmar; Praveen K. Pilly; Andrea Soltoggio (IEEE Trans. Neural Networks Learn. Syst., 2022)

Sharing Lifelong Reinforcement Learning Knowledge via Modulating Masks. - Saptarshi Nath; Christos Peridis; Eseoghene Ben-Iwhiwhu; Xinran Liu; Shirin Dora; Cong Liu; Soheil Kolouri; Andrea Soltoggio (CoLLAs, 2023)

Sliced Optimal Partial Transport. - Yikun Bai; Bernhard Schmitzer; Matthew Thorpe; Soheil Kolouri (CVPR, 2023)

Is Multi-Task Learning an Upper Bound for Continual Learning? - Zihao Wu 003; Huy Tran; Hamed Pirsiavash; Soheil Kolouri (ICASSP, 2023)

PRANC: Pseudo RAndom Networks for Compacting deep models. - Parsa Nooralinejad; Ali Abbasi 008; Soroush Abbasi Koohpayegani; Kossar Pourahmadi Meibodi; Rana Muhammad Shahroz Khan; Soheil Kolouri; Hamed Pirsiavash (ICCV, 2023)

Linear optimal partial transport embedding. - Yikun Bai; Ivan Vladimir Medri; Rocio Diaz Martin; Rana Muhammad Shahroz Khan; Soheil Kolouri (ICML, 2023)

Characterizing Out-of-Distribution Error via Optimal Transport. - Yuzhe Lu; Yilong Qin; Runtian Zhai; Andrew Shen; Ketong Chen; Zhenlin Wang; Soheil Kolouri; Simon Stepputtis; Joseph Campbell; Katia P. Sycara (NeurIPS, 2023)

Learning to Solve Optimization Problems With Hard Linear Constraints. - Meiyi Li; Soheil Kolouri; Javad Mohammadi (IEEE Access, 2023)

Predicting Out-of-Distribution Error with Confidence Optimal Transport. - Yuzhe Lu; Zhenlin Wang; Runtian Zhai; Soheil Kolouri; Joseph Campbell; Katia P. Sycara (CoRR, 2023)

The configurable tree graph (CT-graph): measurable problems in partially observable and distal reward environments for lifelong reinforcement learning. - Andrea Soltoggio; Eseoghene Ben-Iwhiwhu; Christos Peridis; Pawel Ladosz; Jeffery Dick; Praveen K. Pilly; Soheil Kolouri (CoRR, 2023)

Equivariant vs. Invariant Layers: A Comparison of Backbone and Pooling for Point Cloud Classification. - Ashkan Shahbazi; Abihith Kothapalli; Xinran Liu; Robert Sheng; Soheil Kolouri (CoRR, 2023)

PTLp: Partial Transport Lp Distances. - Xinran Liu; Yikun Bai; Huy Tran; Zhanqi Zhu; Matthew Thorpe; Soheil Kolouri (CoRR, 2023)

Partial Transport for Point-Cloud Registration. - Yikun Bai; Huy Tran; Steven B. Damelin; Soheil Kolouri (CoRR, 2023)

NOLA: Networks as Linear Combination of Low Rank Random Basis. - Soroush Abbasi Koohpayegani; K. L. Navaneet; Parsa Nooralinejad; Soheil Kolouri; Hamed Pirsiavash (CoRR, 2023)

CovarNav: Machine Unlearning via Model Inversion and Covariance Navigation. - Ali Abbasi 008; Chayne Thrash; Elaheh Akbari; Daniel Zhang; Soheil Kolouri (CoRR, 2023)

Multi-Agent Lifelong Implicit Neural Learning. - Soheil Kolouri; Ali Abbasi 008; Soroush Abbasi Koohpayegani; Parsa Nooralinejad; Hamed Pirsiavash (IEEE Signal Process. Lett., 2023)

Lifelong Reinforcement Learning with Modulating Masks. - Eseoghene Ben-Iwhiwhu; Saptarshi Nath; Praveen K. Pilly; Soheil Kolouri; Andrea Soltoggio (Trans. Mach. Learn. Res., 2023)

A domain-agnostic approach for characterization of lifelong learning systems. - Megan M. Baker; Alexander New; Mario Aguilar-Simon; Ziad Al-Halah; Sébastien M. R. Arnold; Eseoghene Ben-Iwhiwhu; Andrew P. Brna; Ethan Brooks; Ryan C. Brown; Zachary Daniels; Anurag Reddy Daram; Fabien Delattre; et al. (Neural Networks, 2023)

Statistical Context Detection for Deep Lifelong Reinforcement Learning. - Jeffery Dick; Saptarshi Nath; Christos Peridis; Eseoghene Ben-Iwhiwhu; Soheil Kolouri; Andrea Soltoggio (CoLLAs, 2024)

BrainWash: A Poisoning Attack to Forget in Continual Learning. - Ali Abbasi 008; Parsa Nooralinejad; Hamed Pirsiavash; Soheil Kolouri (CVPR, 2024)

NOLA: Compressing LoRA using Linear Combination of Random Basis. - Soroush Abbasi Koohpayegani; Navaneet K. L.; Parsa Nooralinejad; Soheil Kolouri; Hamed Pirsiavash (ICLR, 2024)

LCOT: Linear Circular Optimal Transport. - Rocio Diaz Martin; Ivan Vladimir Medri; Yikun Bai; Xinran Liu; Kangbai Yan; Gustavo K. Rohde; Soheil Kolouri (ICLR, 2024)

Stereographic Spherical Sliced Wasserstein Distances. - Huy Tran; Yikun Bai; Abihith Kothapalli; Ashkan Shahbazi; Xinran Liu; Rocio Diaz Martin; Soheil Kolouri (ICML, 2024)

NeuroBOLT: Resting-state EEG-to-fMRI Synthesis with Multi-dimensional Feature Mapping. - Yamin Li; Ange Lou; Ziyuan Xu; Shengchao Zhang; Shiyu Wang; Dario J. Englot; Soheil Kolouri; Daniel Moyer; Roza G. Bayrak; Catie Chang (NeurIPS, 2024)

SLoSH: Set Locality Sensitive Hashing via Sliced-Wasserstein Embeddings. - Yuzhe Lu; Xinran Liu; Andrea Soltoggio; Soheil Kolouri (WACV, 2024)

Teaching Networks to Solve Optimization Problems. - Xinran Liu; Yuzhe Lu; Ali Abbasi 008; Meiyi Li; Javad Mohammadi; Soheil Kolouri (IEEE Access, 2024)

Efficient Solvers for Partial Gromov-Wasserstein. - Yikun Bai; Rocio Diaz Martin; Hengrong Du; Ashkan Shahbazi; Soheil Kolouri (CoRR, 2024)

One Category One Prompt: Dataset Distillation using Diffusion Models. - Ali Abbasi 008; Ashkan Shahbazi; Hamed Pirsiavash; Soheil Kolouri (CoRR, 2024)

Physics informed cell representations for variational formulation of multiscale problems. - Yuxiang Gao; Soheil Kolouri; Ravindra Duddu (CoRR, 2024)

MCNC: Manifold Constrained Network Compression. - Chayne Thrash; Ali Abbasi 008; Parsa Nooralinejad; Soroush Abbasi Koohpayegani; Reed Andreas; Hamed Pirsiavash; Soheil Kolouri (CoRR, 2024)

Understanding Learning with Sliced-Wasserstein Requires Rethinking Informative Slices. - Huy Tran; Yikun Bai; Ashkan Shahbazi; John R. Hershey; Soheil Kolouri (CoRR, 2024)

Diffusion-Augmented Coreset Expansion for Scalable Dataset Distillation. - Ali Abbasi 008; Shima Imani; Chenyang An; Gayathri Mahalingam; Harsh Shrivastava 001; Maurice Diesendruck; Hamed Pirsiavash; Pramod Sharma; Soheil Kolouri (CoRR, 2024)

A collective AI via lifelong learning and sharing at the edge. - Andrea Soltoggio; Eseoghene Ben-Iwhiwhu; Vladimir Braverman; Eric Eaton; Benjamin Epstein; Yunhao Ge; Lucy Halperin; Jonathan P. How; Laurent Itti; Michael A. Jacobs; Pavan Kantharaju; Long Le; et al. (Nat. Mac. Intell., 2024)

Linear Partial Gromov-Wasserstein Embedding. - Yikun Bai; Abihith Kothapalli; Hengrong Du; Rocio Diaz Martin; Soheil Kolouri (ICLR, 2025)

Partial Gromov-Wasserstein Metric. - Yikun Bai; Rocio Diaz Martin; Abihith Kothapalli; Hengrong Du; Xinran Liu; Soheil Kolouri (ICLR, 2025)

Linear Spherical Sliced Optimal Transport: A Fast Metric for Comparing Spherical Data. - Xinran Liu; Yikun Bai; Rocio Diaz Martin; Kaiwen Shi; Ashkan Shahbazi; Bennett Allan Landman; Catie Chang; Soheil Kolouri (ICLR, 2025)

Expected Sliced Transport Plans. - Xinran Liu; Rocio Diaz Martin; Yikun Bai; Ashkan Shahbazi; Matthew Thorpe; Akram Aldroubi; Soheil Kolouri (ICLR, 2025)

MCNC: Manifold-Constrained Reparameterization for Neural Compression. - Chayne Thrash; Reed Andreas; Ali Abbasi 008; Parsa Nooralinejad; Soroush Abbasi Koohpayegani; Hamed Pirsiavash; Soheil Kolouri (ICLR, 2025)

Wasserstein task embedding for measuring task similarities. - Xinran Liu; Yikun Bai; Yuzhe Lu; Andrea Soltoggio; Soheil Kolouri (Neural Networks, 2025)

Zero-shot prompt-based video encoder for surgical gesture recognition. - Mingxing Rao; Yinhong Qin; Soheil Kolouri; Jie Ying Wu; Daniel Moyer (Int. J. Comput. Assist. Radiol. Surg., 2025)

ESPFormer: Doubly-Stochastic Attention with Expected Sliced Transport Plans. - Ashkan Shahbazi; Elaheh Akbari; Darian Salehi; Xinran Liu; Navid Naderializadeh; Soheil Kolouri (CoRR, 2025)

Fused Partial Gromov-Wasserstein for Structured Objects. - Yikun Bai; Huy Tran; Hengrong Du; Xinran Liu; Soheil Kolouri (CoRR, 2025)

Knowledge Distillation and Dataset Distillation of Large Language Models: Emerging Trends, Challenges, and Future Directions. - Luyang Fang; Xiaowei Yu; Jiazhang Cai; Yongkai Chen; Shushan Wu; Zhengliang Liu; Zhenyuan Yang; Haoran Lu; Xilin Gong; Yufang Liu; Terry Ma; Wei Ruan; et al. (CoRR, 2025)

Constrained Sliced Wasserstein Embedding. - Navid Naderializadeh; Darian Salehi; Xinran Liu; Soheil Kolouri (CoRR, 2025)

Collaborative Learning in Agentic Systems: A Collective AI is Greater Than the Sum of Its Parts. - Saptarshi Nath; Christos Peridis; Eseoghene Ben-Iwhiwhu; Xinran Liu; Soheil Kolouri; Peter Kinnell; Zexin Li; Cong Liu; Shirin Dora; Andrea Soltoggio (CoRR, 2025)

Neural-Augmented Kelvinlet: Real-Time Soft Tissue Deformation with Multiple Graspers. - Ashkan Shahbazi; Kyvia Pereira; Jon S. Heiselman; Elaheh Akbari; Annie C. Benson; Sepehr Seifi; Xinyuan Liu; Garrison L. H. Johnston; Erwin Terpstra; Anne Draaisma; Jan-Jaap Severes; Jie Ying Wu; et al. (CoRR, 2025)