Publications

2024

Stereographic Spherical Sliced Wasserstein Distances_ Tran, H., Bai, Y., Kothapalli, A., Shahbazi, A., Liu, X., Martin, R.D. and Kolouri, S. ICML, 2024. (Article)

Statistical Context Detection for Deep Lifelong Reinforcement Learning Dick, J., Nath, S., Peridis, C., Ben-Iwhiwhu, E., Kolouri, S., Soltoggio, A. CoLLAs, 2024. (Article)

A collective AI via lifelong learning and sharing at the edge Soltoggio, A., Ben-Iwhiwhu, E., Braverman, V., Eaton, E., Epstein, B., Ge, Y., ... & Kolouri, S. Nature Machine Intelligence, 6(3), 251-264. (Article)

BrainWash: A Poisoning Attack to Forget in Continual Learning Abbasi, A., Nooralinejad, P., Pirsiavash, H. and Kolouri, S. CVPR, 2024.(Article)

LCOT: Linear circular optimal transport Martin, R.D., Medri, I., Bai, Y., Liu, X., Yan, K., Rohde, G.K. and Kolouri, S. ICLR, 2024. (Article)

NOLA: Compressing LoRA using Linear Combination of Random Basis Koohpayegani, S.A., Navaneet, K.L., Nooralinejad, P., Kolouri, S. and Pirsiavash, H. ICLR, 2024. (Article)

SLOSH: Set LOcality Sensitive Hashing via Sliced-Wasserstein Embeddings Lu, Y., Liu, X., Soltoggio, A., Kolouri, S. WACV, 2024. (Article)

2023

Sliced optimal partial transport Bai, Y., Schmitzer, B., Thorpe, M. and Kolouri, S. CVPR, 2023. (Article)

Linear optimal partial transport embedding Bai, Y., Medri, I.V., Martin, R.D., Shahroz, R. and Kolouri, S. ICML, 2023. (Article)

PRANC: Pseudo random networks for compacting deep models Nooralinejad, P., Abbasi, A., Koohpayegani, S.A., Meibodi, K.P., Khan, R.M.S., Kolouri, S. and Pirsiavash, H. ICCV, 2023. (Article)

Characterizing out-of-distribution error via optimal transport Lu, Y., Qin, Y., Zhai, R., Shen, A., Chen, K., Wang, Z., Kolouri, S., Stepputtis, S., Campbell, J. and Sycara, K. NeurIPS, 2023. (Article)

Multi-Agent Lifelong Implicit Neural Learning Kolouri, S., Abbasi, A., Koohpayegani, S.A., Nooralinejad, P. and Pirsiavash, H. IEEE Signal Processing Letters, 2023. (Article)

Lifelong Reinforcement Learning with Modulating Masks Ben-Iwhiwhu, E., Nath, S., Pilly, P.K., Kolouri, S. and Soltoggio, A. TMLR, 2023. (Article)

Sharing lifelong reinforcement learning knowledge via modulating masks Nath, S., Peridis, C., Ben-Iwhiwhu, E., Liu, X., Dora, S., Liu, C., Kolouri, S. and Soltoggio, A. CoLLAs, 2023. (Article)

Is Multi-Task Learning an Upper Bound for Continual Learning? Wu, Z., Tran, H., Pirsiavash, H. and Kolouri, S. ICASSP, 2023. (Article)

2022

Biological underpinnings for lifelong learning machines Kudithipudi, D., Aguilar-Simon, M., Babb, J., Bazhenov, M., Blackiston, D., Bongard, J., ... & Siegelmann, H. Nature Machine Intelligence, 2022. (Article)

Sparsity and heterogeneous dropout for continual learning in the null space of neural activations Abbasi, A., Nooralinejad, P., Braverman, V., Pirsiavash, H. and Kolouri, S. CoLLAs, 2022. (Article)

Generalized sliced probability metrics Kolouri, S., Nadjahi, K., Shahrampour, S. and Şimşekli, U. ICASSP, 2022 (Best Paper Award). (Article)

2021

• Naderializadeh, Navid, Comer, Joseph F., Reed W. Andrews, Hoffmann, Heiko, and Soheil Kolouri. "Pooling by Sliced Wasserstein Embedding" NeurIPS, 2021.

• Li, Haoran, Aditya Krishnan, Jingfeng Wu, Soheil Kolouri, Praveen K. Pilly, and Vladimir Braverman. "Lifelong Learning with Sketched Structural Regularization." ACML, 2021. [paper]

• Yin, Xuwang, Abu Hasnat Mohammad Rubaiyat, Shiying Li, Soheil Kolouri, Akram Aldroubi, Jonathan M. Nichols, and Gustavo K. Rohde. "Radon cumulative distribution transform subspace modeling for image classification." Journal of Mathematical Imaging and Vision 63, no. 9 (2021): 1185-1203. [paper]

• Ladosz, Pawel, Eseoghene Ben-Iwhiwhu, Jeffery Dick, Nicholas Ketz, Soheil Kolouri, Jeffrey L. Krichmar, Praveen K. Pilly, and Andrea Soltoggio. "Deep Reinforcement Learning With Modulated Hebbian Plus Q-Network Architecture." IEEE Transactions on Neural Networks and Learning Systems (2021). [paper]

2020

• Kolouri, Soheil, Xuwang Yin, and Gustavo K. Rohde. "Neural Networks, Hypersurfaces, and Radon Transforms." IEEE Signal Processing Magazine (2020). [paper], [preprint]
• Kolouri, Soheil, Aniruddha Saha, Hamed Pirsiavash, and Heiko Hoffmann. "Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs." CVPR(2020). [paper], [website]
• Kolouri, Soheil, Nicholas A. Ketz, Andrea Soltoggio, and Praveen K. Pilly. "Sliced Cramer synaptic consolidation for preserving deeply learned representations." ICLR(2020).[paper]
• Yin, Xuwang, Soheil Kolouri, and Gustavo K. Rohde. "GAT: Generative Adversarial Training for Adversarial Example Detection and Robust Classification." ICLR(2020).[paper]
• Rostami, Mohammad, Soheil Kolouri, James McClelland, and Praveen Pilly. "Generative Continual Concept Learning." AAAI (2020). [paper]
• Nadjahi, Kimia, Alain Durmus, Lénaïc Chizat, Soheil Kolouri, Shahin Shahrampour, and Umut Şimşekli. "Statistical and topological properties of sliced probability divergences." NeurIPS(2020).[paper]
• Zou, Xinyun, Soheil Kolouri, Praveen K. Pilly, and Jeffrey L. Krichmar. "Neuromodulated Goal-Driven Perception in Uncertain Domains." Neural Networks (2020). [paper], [preprint]
• Comer, Joseph F., Reed W. Andrews, Navid Naderializadeh, Soheil Kolouri, and Heiko Hoffman. "SAR automatic target recognition with less labels." SPIE(2020). [paper]
• Murez, Zak, Soheil Kolouri, David Kriegman, Ravi Ramamoorthi, and Kyungnam Kim. "Domain Adaptation via Image to Image Translation." In Domain Adaptation in Computer Vision with Deep Learning, pp. 117-136. Springer, Cham, 2020. [book]
• Kolouri, Soheil, Navid Naderializadeh, Gustavo K. Rohde, and Heiko Hoffmann. "Wasserstein Embedding for Graph Learning." arXiv preprint arXiv:2006.09430 (2020).[paper], [website]
• Yin, Xuwang, Abu Hasnat Mohammad Rubaiyat, Shiying Li, Soheil Kolouri, Akram Aldroubi, Jonathan M. Nichols, and Gustavo K. Rohde. "Radon cumulative distribution transform subspace modeling for image classification." arXiv preprint arXiv:2004.03669 (2020).[paper]

2019

• Kolouri, Soheil, Kimia Nadjahi, Umut Simsekly, Roland Badeau, and Gustavo K. Rohde. "Generalized Sliced-Wasserstein Distances." NeurIPS (2019). [paper]
• Phillip E. Pope, Soheil Kolouri, Mohammad Rostami, Charles E. Martin, and Heiko Hoffmann. "Explainability Methods for Graph Convolutional Neural Networks." CVPR (2019). [paper]
• Rostami, Mohammad, Soheil Kolouri, Eric Eaton, and Kyungnam Kim. "SAR Image Classification Using Few-Shot Cross-Domain Transfer Learning." CVPR-W, (2019). [paper]
• Kolouri, Soheil, Phillip E. Pope, Charles E. Martin, and Gustavo K. Rohde. "Sliced-Wasserstein Autoencoders." ICLR (2019). [paper] [code]
• Rostami, Mohammad, Soheil Kolouri, Eric Eaton, and Kyungnam Kim. "Deep Transfer Learning for Few-Shot SAR Image Classification." Remote Sensing 11, no. 11 (2019): 1374. [paper]
• Rostami, Mohammad, Soheil Kolouri, and Praveen K. Pilly. "Complementary Learning for Overcoming Catastrophic Forgetting Using Experience Replay." IJCAI (2019) [paper]
• Gabourie, Alex, Mohammad Rostami, Philip Pope, Soheil Kolouri, and Kyungnam Kim. "Learning a Domain-Invariant Embedding for Unsupervised Domain Adaptation Using Class-Conditioned Distribution Alignment." Allerton Conference (2019). [paper]
• Mohammadi, Javad, and Soheil Kolouri. "Collaborative Learning through Shared Knowledge and Local Expertise." MLSP Conference (2019).
• Ladosz, Pawel, Eseoghene Ben-Iwhiwhu, Yang Hu, Nicholas Ketz, Soheil Kolouri, Jeffrey L. Krichmar, Praveen Pilly, and Andrea Soltoggio. "Deep Reinforcement Learning with Modulated Hebbian plus Q Network Architecture." arXiv preprint arXiv:1909.09902 (2019). [paper]
• Ketz, Nicholas, Soheil Kolouri, and Praveen Pilly. "Using World Models for Pseudo-Rehearsal in Continual Learning." arXiv preprint arXiv:1903.02647 (2019). [paper]
• Kolouri, Soheil, Nicholas Ketz, Xinyun Zou, Jeffrey Krichmar, and Praveen Pilly. "Attention-Based Structural-Plasticity." arXiv preprint arXiv:1903.06070 (2019). [paper]
• Shahrampour, Shahin, and Soheil Kolouri. "On Sampling Random Features From Empirical Leverage Scores: Implementation and Theoretical Guarantees." arXiv preprint arXiv:1903.08329 (2019). [paper]

2018

• Pope, Phillip, Soheil Kolouri, Mohammad Rostrami, Charles Martin, and Heiko Hoffman. "Discovering Molecular Functional Groups Using Graph Convolutional Neural Networks." arXiv preprint arXiv:1812.00265 (2018). [paper]
• Park, Se Rim, Soheil Kolouri, Shinjini Kundu, and Gustavo K. Rohde. "The cumulative distribution transform and linear pattern classification." Applied and Computational Harmonic Analysis 45, no. 3 (2018): 616-641. [paper] [code]
• Rostami, Mohammad, Soheil Kolouri, Kyungnam Kim, and Eric Eaton. "Multi-Agent Distributed Lifelong Learning for Collective Knowledge Acquisition." In Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, pp. 712-720. International Foundation for Autonomous Agents and Multiagent Systems, 2018. [paper]
• Kolouri, Soheil, Gustavo K. Rohde, and Heiko Hoffmann. "Sliced Wasserstein Distance for Learning Gaussian Mixture Models." In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR).(2018). [paper] [code]
• Murez, Z., Kolouri, S., Kriegman, D., Ramamoorthi, R. and Kim, K., "Image to Image Translation for Domain Adaptation." In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR).(2018). [paper]
• Kundu, Shinjini, Soheil Kolouri, Kirk I. Erickson, Arthur F. Kramer, Edward McAuley, and Gustavo K. Rohde. "Discovery and visualization of structural biomarkers from MRI using transport-based morphometry." NeuroImage 167 (2018): 256-275. [paper]
• Soheil Kolouri, Mohammad Rostami, Yuri Owechko, and Kyungnam Kim. "Joint Dictionaries for Zero-Shot Learning." In The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18).(2018). [paper]

2017

• Kolouri, Soheil, Se Rim Park, Matthew Thorpe, Dejan Slepcev, and Gustavo K. Rohde. "Optimal mass transport: Signal processing and machine-learning applications." IEEE Signal Processing Magazine 34, no. 4 (2017): 43-59. [paper] [arXiv paper] [related codes]

• Deutsch, Shay, Soheil Kolouri, Kyungnam Kim, Yuri Owechko, and Stefano Soatto. "Zero shot learning via multi-scale manifold regularization." In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR).(July 2017). 2017. [paper]

• Kolouri, Soheil, Charles E. Martin, and Heiko Hoffmann. "Explaining distributed neural activations via unsupervised learning." In CVPR Workshop on Explainable Computer Vision and Job Candidate Screening Competition, vol. 2. 2017. [paper]

• Rahimi, Amir M., Soheil Kolouri, and Rajan Bhattacharyya. "Automatic Tactical Adjustment in Real-Time: Modeling Adversary Formations with Radon-Cumulative Distribution Transform and Canonical Correlation Analysis." In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 83-90. 2017. [paper]

• Thorpe, Matthew, Serim Park, Soheil Kolouri, Gustavo K. Rohde, and Dejan Slepčev. "A Transportation $L_p$ Distance for Signal Analysis." Journal of Mathematical Imaging and Vision 59, no. 2 (2017): 187-210. [paper]

2016

• Kolouri, Soheil, Akif B. Tosun, John A. Ozolek, and Gustavo K. Rohde. "A continuous linear optimal transport approach for pattern analysis in image datasets." Pattern recognition 51 (2016): 453-462. [paper]
• Kolouri, Soheil, Se Rim Park, and Gustavo K. Rohde. "The radon cumulative distribution transform and its application to image classification." IEEE transactions on image processing25, no. 2 (2016): 920-934. [paper][code]
• Kolouri, Soheil, Yang Zou, and Gustavo K. Rohde. "Sliced wasserstein kernels for probability distributions." In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 5258-5267. 2016. [paper]
• Shembel, A., Kolouri, S., Xu, H. and Abbott, K.V., 2016. Quantification of Respiratory Laryngeal Morphometry: Comparison of Laryngeal Lumen Angle Estimate Methods. Journal of Voice, 30(6), pp.764-e23. [paper]

2015

• Kolouri, Soheil, and Gustavo K. Rohde. "Transport-based single frame super resolution of very low resolution face images." In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 4876-4884. 2015. [paper]

• Kolouri, Soheil, Dejan Slepcev, and Gustavo K. Rohde. "A symmetric deformation-based similarity measure for shape analysis." In Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on, pp. 314-318. IEEE, 2015. [paper]

• Kolouri, Soheil, and Gustavo K. Rohde. "PCA-Based Super-Resolution in Transport Space." In Computational Optical Sensing and Imaging, pp. CTh3E-2. Optical Society of America, 2015. [paper]

• Tosun, Akif Burak, Oleksandr Yergiyev, Soheil Kolouri, Jan F. Silverman, and Gustavo K. Rohde. "Detection of malignant mesothelioma using nuclear structure of mesothelial cells in effusion cytology specimens." Cytometry Part A 87, no. 4 (2015): 326-333. [paper]

2014

• Basu, Saurav, Soheil Kolouri, and Gustavo K. Rohde. "Detecting and visualizing cell phenotype differences from microscopy images using transport-based morphometry." Proceedings of the National Academy of Sciences (2014): 201319779. [paper] [code]
• Kolouri, Soheil, Mahmood R. Azimi-Sadjadi, and Astrid Ziemann. "Acoustic tomography of the atmosphere using unscented Kalman filter." IEEE Transactions on Geoscience and Remote Sensing 52, no. 4 (2014): 2159-2171. [paper]
• Kolouri, Soheil, Saurav Basu, and Gustavo K. Rohde. "Learning and visualizing statistical relationships between protein distributions from microscopy images." In Biomedical Imaging (ISBI), 2014 IEEE 11th International Symposium on, pp. 381-384. IEEE, 2014. [paper]
• Ozolek, John A., Akif Burak Tosun, Wei Wang, Cheng Chen, Soheil Kolouri, Saurav Basu, Hu Huang, and Gustavo K. Rohde. "Accurate diagnosis of thyroid follicular lesions from nuclear morphology using supervised learning." Medical image analysis 18, no. 5 (2014): 772-780. [paper]
• Kolouri, Soheil, and Gustavo K. Rohde. "Temporal information inference from static high-content fluorescent microscopy." In Bioengineering Conference (NEBEC), 2014 40th Annual Northeast, pp. 1-2. IEEE, 2014. [paper]
• Kolouri, Soheil, and Gustavo K. Rohde. "Quantifying and visualizing variations in sets of images using continuous linear optimal transport." In Medical Imaging 2014: Image Processing, vol. 9034, p. 903438. International Society for Optics and Photonics, 2014. [paper]
• Tosun, Akif Burak, Oleksandr Yergiyev, Soheil Kolouri, Jan F. Silverman, and Gustavo K. Rohde. "Novel computer-aided diagnosis of mesothelioma using nuclear structure of mesothelial cells in effusion cytology specimens." In Medical Imaging 2014: Digital Pathology, vol. 9041, p. 90410Z. International Society for Optics and Photonics, 2014. [paper]
• Kolouri, Soheil, Mahmood R. Azimi-Sadjadi, and Astrid Ziemann. "A statistical-based approach for acoustic tomography of the atmosphere." The Journal of the Acoustical Society of America 135, no. 1 (2014): 104-114. [paper]

2012

• Kolouri, Soheil. "Acoustic tomography of the atmosphere using iterated unscented Kalman filter." MSc diss., Colorado State University. Libraries, 2012.