Zero Sum SVD: Balancing Loss Sensitivity for Low Rank LLM Compression
Abbasi, A., Thrash, C., Qin, H., Sharma, S., Seifi, S. and Kolouri, S.
ICML, 2026
Diffusion-Augmented Coreset Expansion for Scalable Dataset Distillation
Abbasi, A., Imani, S., An, C., Mahalingam, G., Shrivastava, H., Diesendruck, M., Pirsiavash, H., Sharma, P. and Kolouri, S.
CVPR Workshop SynData4CV, 2026
One category one prompt: Dataset distillation using diffusion models
Abbasi, A., Shahbazi, A., Pirsiavash, H. and Kolouri, S.
CVPR Workshop SynData4CV, 2026
Neural-Augmented Kelvinlet: Real-Time Soft Tissue Deformation with Multiple Graspers
Shahbazi, A., Pereira, K., Heiselman, J.S., Akbari, E., Benson, A.C., Seifi, S., Liu, X., Johnston, G.L., Terpstra, E., Draaisma, A., Severes, J.J., Wu, J. Y., Simaan, N., Miga, M. L., and Kolouri, S.
AAAI, 2026
Policy search, retrieval, and composition via task similarity in collaborative agentic systems.
Nath, S., Peridis, C., Benjamin, E., Liu, X., Kolouri, S., Kinnell, P., Li, Z., Liu, C., Dora, S. and Soltoggio, A.
AAAI 2026
Knowledge distillation and dataset distillation of large language models: Emerging trends, challenges, and future directions.
Fang, Luyang, Xiaowei Yu, Jiazhang Cai, Yongkai Chen, Shushan Wu, Zhengliang Liu, Zhenyuan Yang et al.
Artificial Intelligence Review, 2025
ESPformer: Doubly-Stochastic Attention with Expected Sliced Transport Plans
Shahbazi, A., Akbari, E., Salehi, D., Liu, X., NaderiAlizadeh, N., Kolouri, S.
ICML, 2025
MCNC: Manifold-Constrained Reparameterization for Neural Compression
Thrash, C., Andreas, R., Abbasi, A., Nooralinejad, P., Koohpayegani, S.A., Pirsiavash, H., Kolouri, S.
ICLR, 2025
Wasserstein task embedding for measuring task similarities
Liu, X., Bai, Y., Lu, Y., Soltoggio, A., Kolouri, S.
Neural Networks, 2025
Linear Spherical Sliced Optimal Transport: A Fast Metric for Comparing Spherical Data
Liu, X., Bai, Y., Diaz Martin, R., Shi, K., Shahbazi, A., Landman, B.A., Chang, C., Kolouri, S.
ICLR, 2025
Linear Partial Gromov-Wasserstein Embedding
Bai, Y., Kothapalli, A., Du, H., Diaz Martin, R., Kolouri, S.
ICLR, 2025
Expected Sliced Transport Plans
Liu, X., Diaz Martin, R., Bai, Y., Shahbazi, A., Thorpe, M., Aldroubi, A., Kolouri, S.
ICLR, 2025
Stereographic Spherical Sliced Wasserstein Distances
Tran, H., Bai, Y., Kothapalli, A., Shahbazi, A., Liu, X., Martin, R.D. and Kolouri, S.
ICML, 2024
Statistical Context Detection for Deep Lifelong Reinforcement Learning
Dick, J., Nath, S., Peridis, C., Ben-Iwhiwhu, E., Kolouri, S., Soltoggio, A.
CoLLAs, 2024
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
BrainWash: A Poisoning Attack to Forget in Continual Learning
Abbasi, A., Nooralinejad, P., Pirsiavash, H. and Kolouri, S.
CVPR, 2024
LCOT: Linear circular optimal transport
Martin, R.D., Medri, I., Bai, Y., Liu, X., Yan, K., Rohde, G.K. and Kolouri, S.
ICLR, 2024
NOLA: Compressing LoRA using Linear Combination of Random Basis
Koohpayegani, S.A., Navaneet, K.L., Nooralinejad, P., Kolouri, S. and Pirsiavash, H.
ICLR, 2024
SLOSH: Set LOcality Sensitive Hashing via Sliced-Wasserstein Embeddings
Lu, Y., Liu, X., Soltoggio, A., Kolouri, S.
WACV, 2024
Sliced optimal partial transport
Bai, Y., Schmitzer, B., Thorpe, M. and Kolouri, S.
CVPR, 2023
Linear optimal partial transport embedding
Bai, Y., Medri, I.V., Martin, R.D., Shahroz, R. and Kolouri, S.
ICML, 2023
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
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
Multi-Agent Lifelong Implicit Neural Learning
Kolouri, S., Abbasi, A., Koohpayegani, S.A., Nooralinejad, P. and Pirsiavash, H.
IEEE Signal Processing Letters, 2023
Lifelong Reinforcement Learning with Modulating Masks
Ben-Iwhiwhu, E., Nath, S., Pilly, P.K., Kolouri, S. and Soltoggio, A.
TMLR, 2023
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
Is Multi-Task Learning an Upper Bound for Continual Learning?
Wu, Z., Tran, H., Pirsiavash, H. and Kolouri, S.
ICASSP, 2023
SLOSH: Set LOcality Sensitive Hashing via Sliced-Wasserstein Embeddings
Lu, Y., Liu, X., Soltoggio, A., Kolouri, S.
Preprint
Pooling by Sliced-Wasserstein Embeddings
Naderializadeh, N., Comer, J.F., Andrews, R.W., Hoffmann, H., and Kolouri, S.
NeurIPS, 2021
Lifelong Learning with Sketched Structural Regularization
Li, H., Krishnan, A., Wu, J., Kolouri, S., Pilly, P.K. and Braverman, V.
ACML 2021
Set Representation Learning with Generalized Sliced-Wasserstein Embeddings
Naderializadeh, N., Kolouri, S., Comer, J.F., Andrews, R.W. and Hoffmann, H.
Preprint
Radon cumulative distribution transform subspace modeling for image classification
Shifat-E-Rabbi, M., Yin, X., Rubaiyat, A.H.M., Li, S., Kolouri, S., Aldroubi, A., Nichols, J.M. and Rohde, G.K.
Journal of Mathematical Imaging and Vision 63, no. 9 (2021): 1185-1203
Deep Reinforcement Learning With Modulated Hebbian Plus Q-Network Architecture
Ladosz, Pawel, Eseoghene Ben-Iwhiwhu, Jeffery Dick, Nicholas Ketz, Soheil Kolouri, Jeffrey L. Krichmar, Praveen K. Pilly, and Andrea Soltoggio.
IEEE Transactions on Neural Networks and Learning Systems (2021)
Wasserstein Embedding for Graph Learning
Kolouri, S., Naderializadeh, N., Rohde, G.K. and Hoffmann, H.
ICLR 2021
System and method for direct learning from raw tomographic data
Kolouri, S.
US Patent 11,037,030
Machine-vision method to classify input data based on object components
Kolouri, S., Martin, C.E. and Hoffmann, H.
U.S. Patent 11,023,789
Attribute aware zero shot machine vision system via joint sparse representations
Kolouri, S., Rostami, M., Kim, K. and Owechko, Y.
U.S. Patent 10,908,616
### 2020
_Universal Litmus Patterns: Revealing backdoor attacks in CNNs_
Kolouri, S., Saha, A., Pirsiavash, H. and Hoffmann, H. CVPR, 2020
Sliced cramer synaptic consolidation for preserving deeply learned representations
Kolouri, S., Ketz, N.A., Soltoggio, A. and Pilly, P.K.
ICLR, 2020
GAT: Generative Adversarial Training for Adversarial Example Detection and Classification
Yin, X., Kolouri, S. and Rohde, G.K.
ICLR, 2020
Statistical and topological properties of sliced probability divergences
Nadjahi, K., Durmus, A., Chizat, L., Kolouri, S., Shahrampour, S. and Şimşekli, U.
NeurIPS, 2020
Generative continual concept learning
Rostami, M., Kolouri, S., Pilly, P. and McClelland, J.
AAAI, 2020
Neural Networks, Hypersurfaces, and the Generalized Radon Transform
Kolouri, S., Yin, X. and Rohde, G.K.
IEEE Signal Processing Magazine, 2020
Neuromodulated attention and goal-driven perception in uncertain domains
Zou, X., Kolouri, S., Pilly, P.K. and Krichmar, J.L.
Neural Networks, 125, pp.56-69
Detecting changes and avoiding catastrophic forgetting in dynamic partially observable environments
Dick, J., Ladosz, P., Ben-Iwhiwhu, E., Shimadzu, H., Kinnell, P., Pilly, P.K., Kolouri, S. and Soltoggio, A.
Frontiers in neurorobotics, 14, 2020
SAR automatic target recognition with less labels
Comer, J.F., Andrews, R.W., Naderializadeh, N., Kolouri, S. and Hoffman, H.
International Society for Optics and Photonics, 2020
Method and system for detecting change of context in video streams
Martin, C.E., Stepp, N.D., Kolouri, S. and Hoffmann, H.
U.S. Patent 10,878,276
Method for understanding machine-learning decisions based on camera data
Martin, C.E., Kolouri, S. and Hoffmann, H.
U.S. Patent 10,803,356
Prediction of multi-agent adversarial movements through signature-formations using radon-cumulative distribution transform and canonical correlation analysis
Kolouri, S., Rahimi, A.M. and Bhattacharyya, R.
U.S. Patent 10,755,424
Zero shot machine vision system via joint sparse representations
Kolouri, S., Rao, S.R. and Kim, K.
U.S. Patent 10,755,149
Machine-vision system for discriminant localization of objects
Kolouri, S., Martin, C.E. and Hoffmann, H.
U.S. Patent 10,691,972
Machine vision system for recognizing novel objects
Kolouri, S., Martin, C.E., Kim, K. and Hoffmann, H.
U.S. Patent 10,607,111
Explicit prediction of adversary movements with canonical correlation analysis
Rahimi, A.M., Kolouri, S. and Bhattacharyya, R.
U.S. Patent 10,583,324
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