Alexander Cloninger

Andreas Oslandsbotn

Sawyer Jack Robertson

Zhengchao Wan

Yusu Wang

SIAM J. Matrix Anal. Appl., 2024

OTClean: Data Cleaning for Conditional Independence Violations using Optimal Transport.

[BibT_eX]

[DOI]

Alireza Pirhadi

Mohammad Hossein Moslemi

Evangelos A. Nikitopoulos

Mostafa Milani

Babak Salimi

Proc. ACM Manag. Data, 2024

Using Linearized Optimal Transport to Predict the Evolution of Stochastic Particle Systems.

[BibT_eX]

[DOI]

Nicholas Karris

Ioannis G. Kevrekidis

Seungjoon Lee

CoRR, 2024

Training Guarantees of Neural Network Classification Two-Sample Tests by Kernel Analysis.

[BibT_eX]

[DOI]

Varun Khurana

CoRR, 2024

LINSCAN - A Linearity Based Clustering Algorithm.

[BibT_eX]

[DOI]

CoRR, 2024

All You Need is Resistance: On the Equivalence of Effective Resistance and Certain Optimal Transport Problems on Graphs.

[BibT_eX]

[DOI]

Sawyer Jack Robertson

Zhengchao Wan

CoRR, 2024

Point Cloud Classification via Deep Set Linearized Optimal Transport.

[BibT_eX]

[DOI]

Scott Mahan

Caroline Moosmüller

CoRR, 2024

2023

A neural network kernel decomposition for learning multiple steady states in parameterized dynamical systems.

[BibT_eX]

[DOI]

CoRR, 2023

On a Generalization of Wasserstein Distance and the Beckmann Problem to Connection Graphs.

[BibT_eX]

[DOI]

Sawyer Jack Robertson

Dhruv Kohli

CoRR, 2023

Semi-Supervised Laplacian Learning on Stiefel Manifolds.

[BibT_eX]

[DOI]

CoRR, 2023

Effective resistance in metric spaces.

[BibT_eX]

[DOI]

CoRR, 2023

Non-degenerate Rigid Alignment in a Patch Framework.

[BibT_eX]

[DOI]

Dhruv Kohli

CoRR, 2023

Linearized Wasserstein dimensionality reduction with approximation guarantees.

[BibT_eX]

[DOI]

CoRR, 2023

2022

Classification Logit Two-Sample Testing by Neural Networks for Differentiating Near Manifold Densities.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2022

Semi-Supervised Manifold Learning with Complexity Decoupled Chart Autoencoders.

[BibT_eX]

[DOI]

CoRR, 2022

Structure from Voltage.

[BibT_eX]

[DOI]

Robi Bhattacharjee

Yoav Freund

CoRR, 2022

StreaMRAK a streaming multi-resolution adaptive kernel algorithm.

[BibT_eX]

[DOI]

Appl. Math. Comput., 2022

Evaluating Disentanglement in Generative Models Without Knowledge of Latent Factors.

[BibT_eX]

[DOI]

Chester Holtz

Proceedings of the Topological, 2022

Preface.

[BibT_eX]

[DOI]

Proceedings of the Topological, 2022

2021

Nonclosedness of sets of neural networks in Sobolev spaces.

[BibT_eX]

[DOI]

Scott Mahan

Emily J. King

Neural Networks, 2021

A deep network construction that adapts to intrinsic dimensionality beyond the domain.

[BibT_eX]

[DOI]

Timo Klock

Neural Networks, 2021

LDLE: Low Distortion Local Eigenmaps.

[BibT_eX]

[DOI]

Dhruv Kohli

J. Mach. Learn. Res., 2021

Kernel Distance Measures for Time Series, Random Fields and Other Structured Data.

[BibT_eX]

[DOI]

Srinjoy Das

Frontiers Appl. Math. Stat., 2021

On the Dual Geometry of Laplacian Eigenfunctions.

[BibT_eX]

[DOI]

Stefan Steinerberger

Exp. Math., 2021

SreaMRAK a Streaming Multi-Resolution Adaptive Kernel Algorithm.

[BibT_eX]

[DOI]

CoRR, 2021

Sigma-Delta and Distributed Noise-Shaping Quantization Methods for Random Fourier Features.

[BibT_eX]

[DOI]

Jinjie Zhang

Rayan Saab

CoRR, 2021

A Manifold Learning based Video Prediction approach for Deep Motion Transfer.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020

A Witness Function Based Construction of Discriminative Models Using Hermite Polynomials.

[BibT_eX]

[DOI]

Frontiers Appl. Math. Stat., 2020

A low discrepancy sequence on graphs.

[BibT_eX]

[DOI]

CoRR, 2020

Natural Graph Wavelet Packet Dictionaries.

[BibT_eX]

[DOI]

Haotian Li

Naoki Saito

CoRR, 2020

Linear Optimal Transport Embedding: Provable fast Wasserstein distance computation and classification for nonlinear problems.

[BibT_eX]

[DOI]

Caroline Moosmüller

CoRR, 2020

ReLU nets adapt to intrinsic dimensionality beyond the target domain.

[BibT_eX]

[DOI]

Timo Klock

CoRR, 2020

Cautious Active Clustering.

[BibT_eX]

[DOI]

CoRR, 2020

Nonclosedness of the Set of Neural Networks in Sobolev Space.

[BibT_eX]

[DOI]

Scott Mahan

Emily J. King

CoRR, 2020

Coresets for Estimating Means and Mean Square Error with Limited Greedy Samples.

[BibT_eX]

[DOI]

Saeed Vahidian

Baharan Mirzasoleiman

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Divide and Conquer: Leveraging Intermediate Feature Representations for Quantized Training of Neural Networks.

[BibT_eX]

[DOI]

Ahmed Taha Elthakeb

Prannoy Pilligundla

Fatemeh Mireshghallah

Hadi Esmaeilzadeh

Proceedings of the 37th International Conference on Machine Learning, 2020

Variational Diffusion Autoencoders with Random Walk Sampling.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Classification Logit Two-sample Testing by Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2019

Data Sampling for Graph Based Unsupervised Learning: Convex and Greedy Optimization.

[BibT_eX]

[DOI]

Saeed Vahidian

Baharan Mirzasoleiman

CoRR, 2019

Diffusion Variational Autoencoders.

[BibT_eX]

[DOI]

CoRR, 2019

PT-MMD: A Novel Statistical Framework for the Evaluation of Generative Systems.

[BibT_eX]

[DOI]

Alexander Potapov

Ian Colbert

Kenneth Kreutz-Delgado

Srinjoy Das

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018

Bounding the Error From Reference Set Kernel Maximum Mean Discrepancy.

[BibT_eX]

[DOI]

CoRR, 2018

Defending against Adversarial Images using Basis Functions Transformations.

[BibT_eX]

[DOI]

CoRR, 2018

2017

Two-sample Statistics Based on Anisotropic Kernels.

[BibT_eX]

[DOI]

Ronald R. Coifman

CoRR, 2017

2016

Deep Survival: A Deep Cox Proportional Hazards Network.

[BibT_eX]

[DOI]

CoRR, 2016

A Note on Markov Normalized Magnetic Eigenmaps.

[BibT_eX]

[DOI]

CoRR, 2016

2015

Hildreth's algorithm with applications to soft constraints for user interface layout.

[BibT_eX]

[DOI]

Noreen Jamil

Xuemei Chen

J. Comput. Appl. Math., 2015

Provable approximation properties for deep neural networks.

[BibT_eX]

[DOI]

Uri Shaham

Ronald R. Coifman

CoRR, 2015

Diffusion Nets.

[BibT_eX]

[DOI]

CoRR, 2015

Bigeometric Organization of Deep Nets.

[BibT_eX]

[DOI]

CoRR, 2015

2014

Solving 2D Fredholm Integral from Incomplete Measurements Using Compressive Sensing.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2014

Operator analysis and diffusion based embeddings for heterogeneous data fusion.

[BibT_eX]

[DOI]

Wojciech Czaja

Timothy Doster

Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

2013

A case study on data fusion with overlapping segments.

[BibT_eX]

[DOI]