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ORCIDAlexander Cloninger
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2020 – today
- 2024
[j12]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): 160 (2024)- [j11]Alexander Cloninger, Gal Mishne, Andreas Oslandsbotn, Sawyer Jack Robertson, Zhengchao Wan, Yusu Wang:
Random Walks, Conductance, and Resistance for the Connection Graph Laplacian. SIAM J. Matrix Anal. Appl. 45(3): 1541-1572 (2024) - [i41]Scott Mahan, Caroline Moosmüller, Alexander Cloninger:
Point Cloud Classification via Deep Set Linearized Optimal Transport. CoRR abs/2401.01460 (2024) - [i40]Alireza Pirhadi, Mohammad Hossein Moslemi, Alexander Cloninger, Mostafa Milani, Babak Salimi:
OTClean: Data Cleaning for Conditional Independence Violations using Optimal Transport. CoRR abs/2403.02372 (2024) - [i39]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 abs/2404.15261 (2024) - [i38]Andrew Dennehy, Xiaoyu Zou, Shabnam J. Semnani, Yuri Fialko, Alexander Cloninger:
LINSCAN - A Linearity Based Clustering Algorithm. CoRR abs/2406.17952 (2024) - [i37]Varun Khurana, Xiuyuan Cheng, Alexander Cloninger:
Training Guarantees of Neural Network Classification Two-Sample Tests by Kernel Analysis. CoRR abs/2407.04806 (2024) - [i36]Nicholas Karris, Evangelos A. Nikitopoulos, Ioannis G. Kevrekidis, Seungjoon Lee, Alexander Cloninger:
Using Linearized Optimal Transport to Predict the Evolution of Stochastic Particle Systems. CoRR abs/2408.01857 (2024) - 2023
- [i35]Alexander Cloninger, Keaton Hamm, Varun Khurana, Caroline Moosmüller:
Linearized Wasserstein dimensionality reduction with approximation guarantees. CoRR abs/2302.07373 (2023) - [i34]Dhruv Kohli, Gal Mishne, Alexander Cloninger:
Non-degenerate Rigid Alignment in a Patch Framework. CoRR abs/2303.11620 (2023) - [i33]Robi Bhattacharjee, Alexander Cloninger, Yoav Freund, Andreas Oslandsbotn:
Effective resistance in metric spaces. CoRR abs/2306.15649 (2023) - [i32]Chester Holtz, Pengwen Chen, Alexander Cloninger, Chung-Kuan Cheng, Gal Mishne:
Semi-Supervised Laplacian Learning on Stiefel Manifolds. CoRR abs/2308.00142 (2023) - [i31]Alexander Cloninger, Gal Mishne, Andreas Oslandsbotn, Sawyer Jack Robertson, Zhengchao Wan, Yusu Wang:
Random Walks, Conductance, and Resistance for the Connection Graph Laplacian. CoRR abs/2308.09690 (2023) - [i30]Sawyer Jack Robertson, Dhruv Kohli, Gal Mishne, Alexander Cloninger:
On a Generalization of Wasserstein Distance and the Beckmann Problem to Connection Graphs. CoRR abs/2312.10295 (2023) - [i29]Yimeng Zhang, Alexander Cloninger, Bo Li, Xiaochuan Tian:
A neural network kernel decomposition for learning multiple steady states in parameterized dynamical systems. CoRR abs/2312.10315 (2023) - 2022
- [j10]Andreas Oslandsbotn, Zeljko Kereta, Valeriya Naumova, Yoav Freund, Alexander Cloninger:
StreaMRAK a streaming multi-resolution adaptive kernel algorithm. Appl. Math. Comput. 426: 127112 (2022) - [j9]Xiuyuan Cheng, Alexander Cloninger:
Classification Logit Two-Sample Testing by Neural Networks for Differentiating Near Manifold Densities. IEEE Trans. Inf. Theory 68(10): 6631-6662 (2022) - [c9]Alexander Cloninger, Timothy Doster, Tegan Emerson, Manohar Kaul, Ira Ktena, Henry Kvinge, Nina Miolane, Bastian Rice, Sarah Tymochko, Guy Wolf:
Preface. TAG-ML 2022: 1-5 - [c8]Chester Holtz, Gal Mishne, Alexander Cloninger:
Evaluating Disentanglement in Generative Models Without Knowledge of Latent Factors. TAG-ML 2022: 161-171 - [e1]Alexander Cloninger, Timothy Doster, Tegan Emerson, Manohar Kaul, Ira Ktena, Henry Kvinge, Nina Miolane, Bastian Rice, Sarah Tymochko, Guy Wolf:
Topological, Algebraic and Geometric Learning Workshops 2022, 25-22 July 2022, Virtual. Proceedings of Machine Learning Research 196, PMLR 2022 [contents] - [i28]Robi Bhattacharjee, Alex Cloninger, Yoav Freund:
Structure from Voltage. CoRR abs/2203.00063 (2022) - [i27]Stefan C. Schonsheck, Scott Mahan, Timo Klock, Alexander Cloninger, Rongjie Lai:
Semi-Supervised Manifold Learning with Complexity Decoupled Chart Autoencoders. CoRR abs/2208.10570 (2022) - [i26]Chester Holtz, Gal Mishne, Alexander Cloninger:
Evaluating Disentanglement in Generative Models Without Knowledge of Latent Factors. CoRR abs/2210.01760 (2022) - 2021
- [j8]Alexander Cloninger, Stefan Steinerberger:
On the Dual Geometry of Laplacian Eigenfunctions. Exp. Math. 30(2): 283-293 (2021) - [j7]Srinjoy Das, Hrushikesh N. Mhaskar, Alexander Cloninger:
Kernel Distance Measures for Time Series, Random Fields and Other Structured Data. Frontiers Appl. Math. Stat. 7: 787455 (2021) - [j6]Dhruv Kohli, Alexander Cloninger, Gal Mishne:
LDLE: Low Distortion Local Eigenmaps. J. Mach. Learn. Res. 22: 282:1-282:64 (2021) - [j5]Scott Mahan, Emily J. King, Alex Cloninger:
Nonclosedness of sets of neural networks in Sobolev spaces. Neural Networks 137: 85-96 (2021) - [j4]Alexander Cloninger, Timo Klock:
A deep network construction that adapts to intrinsic dimensionality beyond the domain. Neural Networks 141: 404-419 (2021) - [c7]Yuliang Cai, Sumit Mohan, Adithya Niranjan, Nilesh Jain, Alex Cloninger, Srinjoy Das:
A Manifold Learning based Video Prediction approach for Deep Motion Transfer. ICCVW 2021: 4214-4221 - [i25]Dhruv Kohli, Alexander Cloninger, Gal Mishne:
LDLE: Low Distortion Local Eigenmaps. CoRR abs/2101.11055 (2021) - [i24]Jinjie Zhang, Alexander Cloninger, Rayan Saab:
Sigma-Delta and Distributed Noise-Shaping Quantization Methods for Random Fourier Features. CoRR abs/2106.02614 (2021) - [i23]Andreas Oslandsbotn, Zeljko Kereta, Valeriya Naumova, Yoav Freund, Alexander Cloninger:
SreaMRAK a Streaming Multi-Resolution Adaptive Kernel Algorithm. CoRR abs/2108.10411 (2021) - [i22]Srinjoy Das, Hrushikesh N. Mhaskar, Alexander Cloninger:
Kernel distance measures for time series, random fields and other structured data. CoRR abs/2109.14752 (2021) - 2020
- [j3]Hrushikesh N. Mhaskar, Xiuyuan Cheng, Alexander Cloninger:
A Witness Function Based Construction of Discriminative Models Using Hermite Polynomials. Frontiers Appl. Math. Stat. 6: 31 (2020) - [c6]Henry Li, Ofir Lindenbaum, Xiuyuan Cheng, Alexander Cloninger:
Variational Diffusion Autoencoders with Random Walk Sampling. ECCV (23) 2020: 362-378 - [c5]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: 2880-2891 - [c4]Saeed Vahidian, Baharan Mirzasoleiman, Alexander Cloninger:
Coresets for Estimating Means and Mean Square Error with Limited Greedy Samples. UAI 2020: 350-359 - [i21]Scott Mahan, Emily J. King, Alex Cloninger:
Nonclosedness of the Set of Neural Networks in Sobolev Space. CoRR abs/2007.11730 (2020) - [i20]Alexander Cloninger, Hrushikesh N. Mhaskar:
Cautious Active Clustering. CoRR abs/2008.01245 (2020) - [i19]Alexander Cloninger, Timo Klock:
ReLU nets adapt to intrinsic dimensionality beyond the target domain. CoRR abs/2008.02545 (2020) - [i18]Caroline Moosmüller, Alexander Cloninger:
Linear Optimal Transport Embedding: Provable fast Wasserstein distance computation and classification for nonlinear problems. CoRR abs/2008.09165 (2020) - [i17]Alexander Cloninger, Haotian Li, Naoki Saito:
Natural Graph Wavelet Packet Dictionaries. CoRR abs/2009.09020 (2020) - [i16]Alex Cloninger, Hrushikesh N. Mhaskar:
A low discrepancy sequence on graphs. CoRR abs/2010.04227 (2020)
2010 – 2019
- 2019
- [c3]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: 2219-2223 - [i15]Hrushikesh N. Mhaskar, Alex Cloninger, Xiuyuan Cheng:
A witness function based construction of discriminative models using Hermite polynomials. CoRR abs/1901.02975 (2019) - [i14]Henry Li, Ofir Lindenbaum, Xiuyuan Cheng, Alexander Cloninger:
Diffusion Variational Autoencoders. CoRR abs/1905.12724 (2019) - [i13]Saeed Vahidian, Alexander Cloninger, Baharan Mirzasoleiman:
Data Sampling for Graph Based Unsupervised Learning: Convex and Greedy Optimization. CoRR abs/1906.01021 (2019) - [i12]Xiuyuan Cheng, Alexander Cloninger:
Classification Logit Two-sample Testing by Neural Networks. CoRR abs/1909.11298 (2019) - [i11]Alexander Potapov, Ian Colbert, Kenneth Kreutz-Delgado, Alexander Cloninger, Srinjoy Das:
PT-MMD: A Novel Statistical Framework for the Evaluation of Generative Systems. CoRR abs/1910.12454 (2019) - 2018
- [i10]Uri Shaham, James Garritano, Yutaro Yamada, Ethan Weinberger, Alex Cloninger, Xiuyuan Cheng, Kelly P. Stanton, Yuval Kluger:
Defending against Adversarial Images using Basis Functions Transformations. CoRR abs/1803.10840 (2018) - [i9]Alexander Cloninger, Stefan Steinerberger:
On the Dual Geometry of Laplacian Eigenfunctions. CoRR abs/1804.09816 (2018) - [i8]Alexander Cloninger:
Bounding the Error From Reference Set Kernel Maximum Mean Discrepancy. CoRR abs/1812.04594 (2018) - 2017
- [i7]Xiuyuan Cheng, Alexander Cloninger, Ronald R. Coifman:
Two-sample Statistics Based on Anisotropic Kernels. CoRR abs/1709.05006 (2017) - 2016
- [i6]Jared Katzman, Uri Shaham, Alexander Cloninger, Jonathan Bates, Tingting Jiang, Yuval Kluger:
Deep Survival: A Deep Cox Proportional Hazards Network. CoRR abs/1606.00931 (2016) - [i5]Alexander Cloninger:
A Note on Markov Normalized Magnetic Eigenmaps. CoRR abs/1608.04418 (2016) - 2015
- [j2]Noreen Jamil, Xuemei Chen, Alexander Cloninger:
Hildreth's algorithm with applications to soft constraints for user interface layout. J. Comput. Appl. Math. 288: 193-202 (2015) - [i4]Gal Mishne, Uri Shaham, Alexander Cloninger, Israel Cohen:
Diffusion Nets. CoRR abs/1506.07840 (2015) - [i3]Alexander Cloninger, Ronald R. Coifman, Nicholas Downing, Harlan M. Krumholz:
Bigeometric Organization of Deep Nets. CoRR abs/1507.00220 (2015) - [i2]Uri Shaham, Alexander Cloninger, Ronald R. Coifman:
Provable approximation properties for deep neural networks. CoRR abs/1509.07385 (2015) - 2014
- [j1]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): 1775-1798 (2014) - [c2]Alexander Cloninger, Wojciech Czaja, Timothy Doster:
Operator analysis and diffusion based embeddings for heterogeneous data fusion. IGARSS 2014: 1249-1252 - [i1]Noreen Jamil, Xuemei Chen, Alex Cloninger:
The Hildreth's Algorithm with Applications to Soft Constraints for User Interface Layout. CoRR abs/1409.2902 (2014) - 2013
- [c1]Alexander Cloninger, Wojciech Czaja, Timothy Doster:
A case study on data fusion with overlapping segments. AIPR 2013: 1-11
Coauthor Index
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