Soheil Kolouri

CoRR, 2023

Predicting Out-of-Distribution Error with Confidence Optimal Transport.

[BibT_eX]

[DOI]

CoRR, 2023

Learning to Solve Optimization Problems With Hard Linear Constraints.

[BibT_eX]

[DOI]

Meiyi Li

Rana Muhammad Shahroz Khan

Javad Mohammadi

IEEE Access, 2023

Characterizing Out-of-Distribution Error via Optimal Transport.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Linear optimal partial transport embedding.

[BibT_eX]

[DOI]

Yikun Bai

Ivan Vladimir Medri

Rocio Diaz Martin

Soroush Abbasi Koohpayegani

Proceedings of the International Conference on Machine Learning, 2023

PRANC: Pseudo RAndom Networks for Compacting deep models.

[BibT_eX]

[DOI]

Parsa Nooralinejad

Ali Abbasi

Kossar Pourahmadi Meibodi

Rana Muhammad Shahroz Khan

Hamed Pirsiavash

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Is Multi-Task Learning an Upper Bound for Continual Learning?

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

Sliced Optimal Partial Transport.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Sharing Lifelong Reinforcement Learning Knowledge via Modulating Masks.

[BibT_eX]

[DOI]

Saptarshi Nath

Christos Peridis

Proceedings of the Conference on Lifelong Learning Agents, 2023

2022

Deep Reinforcement Learning With Modulated Hebbian Plus Q-Network Architecture.

[BibT_eX]

[DOI]

Pawel Ladosz

IEEE Trans. Neural Networks Learn. Syst., 2022

Biological underpinnings for lifelong learning machines.

[BibT_eX]

[DOI]

Nat. Mach. Intell., 2022

Wasserstein Task Embedding for Measuring Task Similarities.

[BibT_eX]

[DOI]

CoRR, 2022

PRANC: Pseudo RAndom Networks for Compacting deep models.

[BibT_eX]

[DOI]

CoRR, 2022

Generalized Sliced Probability Metrics.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

Sparsity and Heterogeneous Dropout for Continual Learning in the Null Space of Neural Activations.

[BibT_eX]

[DOI]

Proceedings of the Conference on Lifelong Learning Agents, 2022

2021

Radon Cumulative Distribution Transform Subspace Modeling for Image Classification.

[BibT_eX]

[DOI]

Mohammad Shifat-E.-Rabbi

Abu Hasnat Mohammad Rubaiyat

J. Math. Imaging Vis., 2021

Set Representation Learning with Generalized Sliced-Wasserstein Embeddings.

[BibT_eX]

[DOI]

CoRR, 2021

Pooling by Sliced-Wasserstein Embedding.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Wasserstein Embedding for Graph Learning.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Lifelong Learning with Sketched Structural Regularization.

[BibT_eX]

[DOI]

Proceedings of the Asian Conference on Machine Learning, 2021

2020

Neural Networks, Hypersurfaces, and the Generalized Radon Transform [Lecture Notes].

[BibT_eX]

[DOI]

IEEE Signal Process. Mag., 2020

Neuromodulated attention and goal-driven perception in uncertain domains.

[BibT_eX]

[DOI]

Neural Networks, 2020

Detecting Changes and Avoiding Catastrophic Forgetting in Dynamic Partially Observable Environments.

[BibT_eX]

[DOI]

Jeffery Dick

Pawel Ladosz

Frontiers Neurorobotics, 2020

Generalized Sliced Distances for Probability Distributions.

[BibT_eX]

[DOI]

CoRR, 2020

Statistical and Topological Properties of Sliced Probability Divergences.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

GAT: Generative Adversarial Training for Adversarial Example Detection and Robust Classification.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Sliced Cramer Synaptic Consolidation for Preserving Deeply Learned Representations.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Generative Continual Concept Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Deep Transfer Learning for Few-Shot SAR Image Classification.

[BibT_eX]

[DOI]

Remote. Sens., 2019

Deep Reinforcement Learning with Modulated Hebbian plus Q Network Architecture.

[BibT_eX]

[DOI]

Pawel Ladosz

CoRR, 2019

Neural Networks, Hypersurfaces, and Radon Transforms.

[BibT_eX]

[DOI]

CoRR, 2019

Zero-Shot Image Classification Using Coupled Dictionary Embedding.

[BibT_eX]

[DOI]

CoRR, 2019

Divide-and-Conquer Adversarial Detection.

[BibT_eX]

[DOI]

CoRR, 2019

On Sampling Random Features From Empirical Leverage Scores: Implementation and Theoretical Guarantees.

[BibT_eX]

[DOI]

Shahin Shahrampour

CoRR, 2019

Attention-Based Structural-Plasticity.

[BibT_eX]

[DOI]

CoRR, 2019

Using World Models for Pseudo-Rehearsal in Continual Learning.

[BibT_eX]

[DOI]

Nicholas Ketz

Praveen K. Pilly

CoRR, 2019

Neuromodulated Goal-Driven Perception in Uncertain Domains.

[BibT_eX]

[DOI]

CoRR, 2019

Generalized Sliced Wasserstein Distances.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Collaborative Learning Through Shared Collective Knowledge and Local Expertise.

[BibT_eX]

[DOI]

Javad Mohammadi

Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

Complementary Learning for Overcoming Catastrophic Forgetting Using Experience Replay.

[BibT_eX]

[DOI]

Mohammad Rostami

Praveen K. Pilly

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Sliced Wasserstein Auto-Encoders.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

SAR Image Classification Using Few-Shot Cross-Domain Transfer Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Explainability Methods for Graph Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Learning a Domain-Invariant Embedding for Unsupervised Domain Adaptation Using Class-Conditioned Distribution Alignment.

[BibT_eX]

[DOI]

Alexander J. Gabourie

Proceedings of the 57th Annual Allerton Conference on Communication, 2019

2018

Discovery and visualization of structural biomarkers from MRI using transport-based morphometry.

[BibT_eX]

[DOI]

NeuroImage, 2018

Discovering Molecular Functional Groups Using Graph Convolutional Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2018

Sliced-Wasserstein Autoencoder: An Embarrassingly Simple Generative Model.

[BibT_eX]

[DOI]

Charles E. Martin

CoRR, 2018

Image to Image Translation for Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Sliced Wasserstein Distance for Learning Gaussian Mixture Models.

[BibT_eX]

[DOI]

Heiko Hoffmann

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Multi-Agent Distributed Lifelong Learning for Collective Knowledge Acquisition.

[BibT_eX]

[DOI]

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Joint Dictionaries for Zero-Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Optimal Mass Transport: Signal processing and machine-learning applications.

[BibT_eX]

[DOI]

IEEE Signal Process. Mag., 2017

A Transportation Lp Distance for Signal Analysis.

[BibT_eX]

[DOI]

J. Math. Imaging Vis., 2017

Automatic Tactical Adjustment in Real-Time: Modeling Adversary Formations with Radon-Cumulative Distribution Transform and Canonical Correlation Analysis.

[BibT_eX]

[DOI]

Amir M. Rahimi

Rajan Bhattacharyya

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Explaining Distributed Neural Activations via Unsupervised Learning.

[BibT_eX]

[DOI]

Charles E. Martin

Heiko Hoffmann

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Zero Shot Learning via Multi-scale Manifold Regularization.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

The Radon Cumulative Distribution Transform and Its Application to Image Classification.

[BibT_eX]

[DOI]

Se Rim Park

IEEE Trans. Image Process., 2016

A continuous linear optimal transport approach for pattern analysis in image datasets.

[BibT_eX]

[DOI]

Pattern Recognit., 2016

Transport-based analysis, modeling, and learning from signal and data distributions.

[BibT_eX]

[DOI]

CoRR, 2016

Sliced Wasserstein Kernels for Probability Distributions.

[BibT_eX]

[DOI]

Yang Zou

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

The Cumulative Distribution Transform and Linear Pattern Classification.

[BibT_eX]

[DOI]

CoRR, 2015

A symmetric deformation-based similarity measure for shape analysis.

[BibT_eX]

[DOI]

Dejan Slepcev

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Transport-based single frame super resolution of very low resolution face images.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Acoustic Tomography of the Atmosphere Using Unscented Kalman Filter.

[BibT_eX]

[DOI]

Mahmood R. Azimi-Sadjadi

Astrid Ziemann

IEEE Trans. Geosci. Remote. Sens., 2014

Accurate diagnosis of thyroid follicular lesions from nuclear morphology using supervised learning.

[BibT_eX]

[DOI]

Medical Image Anal., 2014

Quantifying and visualizing variations in sets of images using continuous linear optimal transport.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2014: Image Processing, 2014

Novel computer-aided diagnosis of mesothelioma using nuclear structure of mesothelial cells in effusion cytology specimens.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2014: Digital Pathology, 2014

Learning and visualizing statistical relationships between protein distributions from microscopy images.

[BibT_eX]

[DOI]

Saurav Basu

Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2012

Acoustic tomography of the atmosphere using unscented Kalman filter.

[BibT_eX]

[DOI]