Alexander Cloninger

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 45

Top Topics

Discriminative Models

Intrinsic Dimensionality

Top Venues

Frontiers Appl. Math. Stat.

IEEE Trans. Inf. Theory

Publications

Varun Khurana, Xiuyuan Cheng, Alexander Cloninger
Training Guarantees of Neural Network Classification Two-Sample Tests by Kernel Analysis. CoRR (2024)
Alireza Pirhadi, Mohammad Hossein Moslemi, Alexander Cloninger, Mostafa Milani, Babak Salimi
OTClean: Data Cleaning for Conditional Independence Violations using Optimal Transport. Proc. ACM Manag. Data 2 (3) (2024)
Andrew Dennehy, Xiaoyu Zou, Shabnam J. Semnani, Yuri Fialko, Alexander Cloninger
LINSCAN - A Linearity Based Clustering Algorithm. CoRR (2024)
Sawyer Jack Robertson, Zhengchao Wan, Alexander Cloninger
All You Need is Resistance: On the Equivalence of Effective Resistance and Certain Optimal Transport Problems on Graphs. CoRR (2024)
Alireza Pirhadi, Mohammad Hossein Moslemi, Alexander Cloninger, Mostafa Milani, Babak Salimi
OTClean: Data Cleaning for Conditional Independence Violations using Optimal Transport. CoRR (2024)
Scott Mahan, Caroline Moosmüller, Alexander Cloninger
Point Cloud Classification via Deep Set Linearized Optimal Transport. CoRR (2024)
Alexander Cloninger, Gal Mishne, Andreas Oslandsbotn, Sawyer Jack Robertson, Zhengchao Wan, Yusu Wang
Random Walks, Conductance, and Resistance for the Connection Graph Laplacian. CoRR (2023)
Sawyer Jack Robertson, Dhruv Kohli, Gal Mishne, Alexander Cloninger
On a Generalization of Wasserstein Distance and the Beckmann Problem to Connection Graphs. CoRR (2023)
Alexander Cloninger, Keaton Hamm, Varun Khurana, Caroline Moosmüller
Linearized Wasserstein dimensionality reduction with approximation guarantees. CoRR (2023)
Dhruv Kohli, Gal Mishne, Alexander Cloninger
Local Rigidity of Patch Framework Realization. CoRR (2023)
Chester Holtz, Pengwen Chen, Alexander Cloninger, Chung-Kuan Cheng, Gal Mishne
Semi-Supervised Laplacian Learning on Stiefel Manifolds. CoRR (2023)
Yimeng Zhang, Alexander Cloninger, Bo Li, Xiaochuan Tian
A neural network kernel decomposition for learning multiple steady states in parameterized dynamical systems. CoRR (2023)
Robi Bhattacharjee, Alexander Cloninger, Yoav Freund, Andreas Oslandsbotn
Effective resistance in metric spaces. CoRR (2023)
Alexander Cloninger, Timothy Doster, Tegan Emerson, Manohar Kaul, Ira Ktena, Henry Kvinge, Nina Miolane, Bastian Rice, Sarah Tymochko, Guy Wolf
Preface. TAG-ML (2022)
Xiuyuan Cheng, Alexander Cloninger
Classification Logit Two-Sample Testing by Neural Networks for Differentiating Near Manifold Densities. IEEE Trans. Inf. Theory 68 (10) (2022)
Chester Holtz, Gal Mishne, Alexander Cloninger
Evaluating Disentanglement in Generative Models Without Knowledge of Latent Factors. CoRR (2022)
Andreas Oslandsbotn, Zeljko Kereta, Valeriya Naumova, Yoav Freund, Alexander Cloninger
StreaMRAK a streaming multi-resolution adaptive kernel algorithm. Appl. Math. Comput. 426 (2022)
Chester Holtz, Gal Mishne, Alexander Cloninger
Evaluating Disentanglement in Generative Models Without Knowledge of Latent Factors. TAG-ML (2022)
Stefan C. Schonsheck, Scott Mahan, Timo Klock, Alexander Cloninger, Rongjie Lai
Semi-Supervised Manifold Learning with Complexity Decoupled Chart Autoencoders. CoRR (2022)
Jinjie Zhang, Alexander Cloninger, Rayan Saab
Sigma-Delta and Distributed Noise-Shaping Quantization Methods for Random Fourier Features. CoRR (2021)
Dhruv Kohli, Alexander Cloninger, Gal Mishne
LDLE: Low Distortion Local Eigenmaps. J. Mach. Learn. Res. 22 (2021)
Srinjoy Das, Hrushikesh N. Mhaskar, Alexander Cloninger
Kernel distance measures for time series, random fields and other structured data. CoRR (2021)
Dhruv Kohli, Alexander Cloninger, Gal Mishne
LDLE: Low Distortion Local Eigenmaps. CoRR (2021)
Alexander Cloninger, Timo Klock
A deep network construction that adapts to intrinsic dimensionality beyond the domain. Neural Networks 141 (2021)
Andreas Oslandsbotn, Zeljko Kereta, Valeriya Naumova, Yoav Freund, Alexander Cloninger
SreaMRAK a Streaming Multi-Resolution Adaptive Kernel Algorithm. CoRR (2021)
Srinjoy Das, Hrushikesh N. Mhaskar, Alexander Cloninger
Kernel Distance Measures for Time Series, Random Fields and Other Structured Data. Frontiers Appl. Math. Stat. 7 (2021)
Alexander Cloninger, Stefan Steinerberger
On the Dual Geometry of Laplacian Eigenfunctions. Exp. Math. 30 (2) (2021)
Ahmed Taha Elthakeb, Prannoy Pilligundla, Fatemeh Mireshghallah, Alexander Cloninger, Hadi Esmaeilzadeh
Divide and Conquer: Leveraging Intermediate Feature Representations for Quantized Training of Neural Networks. ICML (2020)
Hrushikesh N. Mhaskar, Xiuyuan Cheng, Alexander Cloninger
A Witness Function Based Construction of Discriminative Models Using Hermite Polynomials. Frontiers Appl. Math. Stat. 6 (2020)
Henry Li, Ofir Lindenbaum, Xiuyuan Cheng, Alexander Cloninger
Variational Diffusion Autoencoders with Random Walk Sampling. ECCV (23) (2020)
Alexander Cloninger, Hrushikesh N. Mhaskar
Cautious Active Clustering. CoRR (2020)
Saeed Vahidian, Baharan Mirzasoleiman, Alexander Cloninger
Coresets for Estimating Means and Mean Square Error with Limited Greedy Samples. UAI (2020)
Alexander Cloninger, Haotian Li, Naoki Saito
Natural Graph Wavelet Packet Dictionaries. CoRR (2020)
Caroline Moosmüller, Alexander Cloninger
Linear Optimal Transport Embedding: Provable fast Wasserstein distance computation and classification for nonlinear problems. CoRR (2020)
Alexander Cloninger, Timo Klock
ReLU nets adapt to intrinsic dimensionality beyond the target domain. CoRR (2020)
Xiuyuan Cheng, Alexander Cloninger
Classification Logit Two-sample Testing by Neural Networks. CoRR (2019)
Saeed Vahidian, Alexander Cloninger, Baharan Mirzasoleiman
Data Sampling for Graph Based Unsupervised Learning: Convex and Greedy Optimization. CoRR (2019)
Alexander Potapov, Ian Colbert, Kenneth Kreutz-Delgado, Alexander Cloninger, Srinjoy Das
PT-MMD: A Novel Statistical Framework for the Evaluation of Generative Systems. CoRR (2019)
Henry Li, Ofir Lindenbaum, Xiuyuan Cheng, Alexander Cloninger
Diffusion Variational Autoencoders. CoRR (2019)
Alexander Potapov, Ian Colbert, Kenneth Kreutz-Delgado, Alexander Cloninger, Srinjoy Das
PT-MMD: A Novel Statistical Framework for the Evaluation of Generative Systems. ACSSC (2019)
Alexander Cloninger
Bounding the Error From Reference Set Kernel Maximum Mean Discrepancy. CoRR (2018)
Alexander Cloninger, Stefan Steinerberger
On the Dual Geometry of Laplacian Eigenfunctions. CoRR (2018)
Xiuyuan Cheng, Alexander Cloninger, Ronald R. Coifman
Two-sample Statistics Based on Anisotropic Kernels. CoRR (2017)
Jared Katzman, Uri Shaham, Alexander Cloninger, Jonathan Bates, Tingting Jiang, Yuval Kluger
Deep Survival: A Deep Cox Proportional Hazards Network. CoRR (2016)
Alexander Cloninger
A Note on Markov Normalized Magnetic Eigenmaps. CoRR (2016)
Gal Mishne, Uri Shaham, Alexander Cloninger, Israel Cohen
Diffusion Nets. CoRR (2015)
Alexander Cloninger, Ronald R. Coifman, Nicholas Downing, Harlan M. Krumholz
Bigeometric Organization of Deep Nets. CoRR (2015)
Uri Shaham, Alexander Cloninger, Ronald R. Coifman
Provable approximation properties for deep neural networks. CoRR (2015)
Noreen Jamil, Xuemei Chen, Alexander Cloninger
Hildreth's algorithm with applications to soft constraints for user interface layout. J. Comput. Appl. Math. 288 (2015)
Alexander Cloninger, Wojciech Czaja, Timothy Doster
Operator analysis and diffusion based embeddings for heterogeneous data fusion. IGARSS (2014)
Alexander Cloninger, Wojciech Czaja, Ruiliang Bai, Peter J. Basser
Solving 2D Fredholm Integral from Incomplete Measurements Using Compressive Sensing. SIAM J. Imaging Sci. 7 (3) (2014)
Alexander Cloninger, Wojciech Czaja, Timothy Doster
A case study on data fusion with overlapping segments. AIPR (2013)