Alexander Cloninger

67 papers A* 1A 1C 1Misc 1Journal 57Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Non-degenerate Rigid Alignment in a Patch Framework. SIAM J. Optim. Dhruv Kohli, Gal Mishne, Alexander Cloninger
2026	J	`jnl`	The Inductive Bias of Convolutional Neural Networks: Locality and Weight Sharing Reshape Implicit Regularization. CoRR Tongtong Liang, Esha Singh, Rahul Parhi, Alexander Cloninger, Yu-Xiang Wang
2025	J	`jnl`	Generalization Below the Edge of Stability: The Role of Data Geometry. CoRR Tongtong Liang, Alexander Cloninger, Rahul Parhi, Yu-Xiang Wang
2025	J	`jnl`	Linearized Optimal Transport for Analysis of High-Dimensional Point-Cloud and Single-Cell Data. CoRR Tianxiang Wang, Yingtong Ke, Dhananjay Bhaskar, Smita Krishnaswamy, Alexander Cloninger
2025	J	`jnl`	Linearized Optimal Transport pyLOT Library: A Toolkit for Machine Learning on Point Clouds. CoRR Jun Linwu, Varun Khurana, Nicholas Karris, Alexander Cloninger
2025	J	`jnl`	Newton-Krylov Methods for Computing Steady States of Particle Timesteppers via Optimal Transport. CoRR Hannes Vandecasteele, Nicholas Karris, Alexander Cloninger, Ioannis G. Kevrekidis
2025	J	`jnl`	On a Generalization of Wasserstein Distance and the Beckmann Problem to Connection Graphs. SIAM J. Sci. Comput. Sawyer Jack Robertson, Dhruv Kohli, Gal Mishne, Alexander Cloninger
2025	J	`jnl`	Robust Graph-Based Semi-Supervised Learning via CoRR Sawyer Jack Robertson, Chester Holtz, Zhengchao Wan, Gal Mishne, Alexander Cloninger
2025	J	`jnl`	Robust Tangent Space Estimation via Laplacian Eigenvector Gradient Orthogonalization. CoRR Dhruv Kohli, Sawyer Jack Robertson, Gal Mishne, Alexander Cloninger
2025	J	`jnl`	Transformers for Learning on Noisy and Task-Level Manifolds: Approximation and Generalization Insights. CoRR Zhaiming Shen, Alex Havrilla, Rongjie Lai, Alexander Cloninger, Wenjing Liao
2025	J	`jnl`	Using Causal Inference to Explore Government Policy Impact on Computer Usage. CoRR Mingjia Zhu, Lechuan Wang, Julien Sebot, Bijan Arbab, Babak Salimi, Alexander Cloninger
2024	J	`jnl`	All You Need is Resistance: On the Equivalence of Effective Resistance and Certain Optimal Transport Problems on Graphs. CoRR Sawyer Jack Robertson, Zhengchao Wan, Alexander Cloninger
2024	J	`jnl`	LINSCAN - A Linearity Based Clustering Algorithm. CoRR Andrew Dennehy, Xiaoyu Zou, Shabnam J. Semnani, Yuri Fialko, Alexander Cloninger
2024	J	`jnl`	OTClean: Data Cleaning for Conditional Independence Violations using Optimal Transport. CoRR Alireza Pirhadi, Mohammad Hossein Moslemi, Alexander Cloninger, Mostafa Milani, Babak Salimi
2024	J	`jnl`	OTClean: Data Cleaning for Conditional Independence Violations using Optimal Transport. Proc. ACM Manag. Data Alireza Pirhadi, Mohammad Hossein Moslemi, Alexander Cloninger, Mostafa Milani, Babak Salimi
2024	J	`jnl`	Point Cloud Classification via Deep Set Linearized Optimal Transport. CoRR Scott Mahan, Caroline Moosmüller, Alexander Cloninger
2024	J	`jnl`	Random Walks, Conductance, and Resistance for the Connection Graph Laplacian. SIAM J. Matrix Anal. Appl. Alexander Cloninger, Gal Mishne, Andreas Oslandsbotn, Sawyer Jack Robertson, Zhengchao Wan, Yusu Wang
2024	J	`jnl`	Training Guarantees of Neural Network Classification Two-Sample Tests by Kernel Analysis. CoRR Varun Khurana, Xiuyuan Cheng, Alexander Cloninger
2024	J	`jnl`	Using Linearized Optimal Transport to Predict the Evolution of Stochastic Particle Systems. CoRR Nicholas Karris, Evangelos A. Nikitopoulos, Ioannis G. Kevrekidis, Seungjoon Lee, Alexander Cloninger
2023	J	`jnl`	A neural network kernel decomposition for learning multiple steady states in parameterized dynamical systems. CoRR Yimeng Zhang, Alexander Cloninger, Bo Li, Xiaochuan Tian
2023	J	`jnl`	Effective resistance in metric spaces. CoRR Robi Bhattacharjee, Alexander Cloninger, Yoav Freund, Andreas Oslandsbotn
2023	J	`jnl`	Linearized Wasserstein dimensionality reduction with approximation guarantees. CoRR Alexander Cloninger, Keaton Hamm, Varun Khurana, Caroline Moosmüller
2023	J	`jnl`	Non-degenerate Rigid Alignment in a Patch Framework. CoRR Dhruv Kohli, Gal Mishne, Alexander Cloninger
2023	J	`jnl`	On a Generalization of Wasserstein Distance and the Beckmann Problem to Connection Graphs. CoRR Sawyer Jack Robertson, Dhruv Kohli, Gal Mishne, Alexander Cloninger
2023	J	`jnl`	Random Walks, Conductance, and Resistance for the Connection Graph Laplacian. CoRR Alexander Cloninger, Gal Mishne, Andreas Oslandsbotn, Sawyer Jack Robertson, Zhengchao Wan, Yusu Wang
2023	J	`jnl`	Semi-Supervised Laplacian Learning on Stiefel Manifolds. CoRR Chester Holtz, Pengwen Chen, Alexander Cloninger, Chung-Kuan Cheng, Gal Mishne
2022	J	`jnl`	Classification Logit Two-Sample Testing by Neural Networks for Differentiating Near Manifold Densities. IEEE Trans. Inf. Theory Xiuyuan Cheng, Alexander Cloninger
2022	—	`conf`	Evaluating Disentanglement in Generative Models Without Knowledge of Latent Factors. TAG-ML Chester Holtz, Gal Mishne, Alexander Cloninger
2022	J	`jnl`	Evaluating Disentanglement in Generative Models Without Knowledge of Latent Factors. CoRR Chester Holtz, Gal Mishne, Alexander Cloninger
2022	—	`conf`	Preface. TAG-ML Alexander Cloninger, Timothy Doster, Tegan Emerson, Manohar Kaul, Ira Ktena, Henry Kvinge, Nina Miolane, Bastian Rice, Sarah Tymochko, Guy Wolf
2022	J	`jnl`	Semi-Supervised Manifold Learning with Complexity Decoupled Chart Autoencoders. CoRR Stefan C. Schonsheck, Scott Mahan, Timo Klock, Alexander Cloninger, Rongjie Lai
2022	J	`jnl`	StreaMRAK a streaming multi-resolution adaptive kernel algorithm. Appl. Math. Comput. Andreas Oslandsbotn, Zeljko Kereta, Valeriya Naumova, Yoav Freund, Alexander Cloninger
2022	—	`ed.`	Topological, Algebraic and Geometric Learning Workshops 2022, 25-22 July 2022, Virtual TAG-ML Alexander Cloninger, Timothy Doster, Tegan Emerson, Manohar Kaul, Ira Ktena, Henry Kvinge, Nina Miolane, Bastian Rice, Sarah Tymochko, Guy Wolf
2021	J	`jnl`	A deep network construction that adapts to intrinsic dimensionality beyond the domain. Neural Networks Alexander Cloninger, Timo Klock
2021	J	`jnl`	Kernel Distance Measures for Time Series, Random Fields and Other Structured Data. Frontiers Appl. Math. Stat. Srinjoy Das, Hrushikesh N. Mhaskar, Alexander Cloninger
2021	J	`jnl`	Kernel distance measures for time series, random fields and other structured data. CoRR Srinjoy Das, Hrushikesh N. Mhaskar, Alexander Cloninger
2021	J	`jnl`	LDLE: Low Distortion Local Eigenmaps. CoRR Dhruv Kohli, Alexander Cloninger, Gal Mishne
2021	J	`jnl`	LDLE: Low Distortion Local Eigenmaps. J. Mach. Learn. Res. Dhruv Kohli, Alexander Cloninger, Gal Mishne
2021	J	`jnl`	On the Dual Geometry of Laplacian Eigenfunctions. Exp. Math. Alexander Cloninger, Stefan Steinerberger
2021	J	`jnl`	Sigma-Delta and Distributed Noise-Shaping Quantization Methods for Random Fourier Features. CoRR Jinjie Zhang, Alexander Cloninger, Rayan Saab
2021	J	`jnl`	SreaMRAK a Streaming Multi-Resolution Adaptive Kernel Algorithm. CoRR Andreas Oslandsbotn, Zeljko Kereta, Valeriya Naumova, Yoav Freund, Alexander Cloninger
2020	J	`jnl`	A Witness Function Based Construction of Discriminative Models Using Hermite Polynomials. Frontiers Appl. Math. Stat. Hrushikesh N. Mhaskar, Xiuyuan Cheng, Alexander Cloninger
2020	J	`jnl`	Cautious Active Clustering. CoRR Alexander Cloninger, Hrushikesh N. Mhaskar
2020	A	`conf`	Coresets for Estimating Means and Mean Square Error with Limited Greedy Samples. UAI Saeed Vahidian, Baharan Mirzasoleiman, Alexander Cloninger
2020	A*	`conf`	Divide and Conquer: Leveraging Intermediate Feature Representations for Quantized Training of Neural Networks. ICML Ahmed Taha Elthakeb, Prannoy Pilligundla, Fatemeh Mireshghallah, Alexander Cloninger, Hadi Esmaeilzadeh
2020	J	`jnl`	Linear Optimal Transport Embedding: Provable fast Wasserstein distance computation and classification for nonlinear problems. CoRR Caroline Moosmüller, Alexander Cloninger
2020	J	`jnl`	Natural Graph Wavelet Packet Dictionaries. CoRR Alexander Cloninger, Haotian Li, Naoki Saito
2020	J	`jnl`	ReLU nets adapt to intrinsic dimensionality beyond the target domain. CoRR Alexander Cloninger, Timo Klock
2020	—	`conf`	Variational Diffusion Autoencoders with Random Walk Sampling. ECCV (23) Henry Li, Ofir Lindenbaum, Xiuyuan Cheng, Alexander Cloninger
2019	J	`jnl`	Classification Logit Two-sample Testing by Neural Networks. CoRR Xiuyuan Cheng, Alexander Cloninger
2019	J	`jnl`	Data Sampling for Graph Based Unsupervised Learning: Convex and Greedy Optimization. CoRR Saeed Vahidian, Alexander Cloninger, Baharan Mirzasoleiman
2019	J	`jnl`	Diffusion Variational Autoencoders. CoRR Henry Li, Ofir Lindenbaum, Xiuyuan Cheng, Alexander Cloninger
2019	Misc	`conf`	PT-MMD: A Novel Statistical Framework for the Evaluation of Generative Systems. ACSSC Alexander Potapov, Ian Colbert, Kenneth Kreutz-Delgado, Alexander Cloninger, Srinjoy Das
2019	J	`jnl`	PT-MMD: A Novel Statistical Framework for the Evaluation of Generative Systems. CoRR Alexander Potapov, Ian Colbert, Kenneth Kreutz-Delgado, Alexander Cloninger, Srinjoy Das
2018	J	`jnl`	Bounding the Error From Reference Set Kernel Maximum Mean Discrepancy. CoRR Alexander Cloninger
2018	J	`jnl`	On the Dual Geometry of Laplacian Eigenfunctions. CoRR Alexander Cloninger, Stefan Steinerberger
2017	J	`jnl`	Two-sample Statistics Based on Anisotropic Kernels. CoRR Xiuyuan Cheng, Alexander Cloninger, Ronald R. Coifman
2016	J	`jnl`	A Note on Markov Normalized Magnetic Eigenmaps. CoRR Alexander Cloninger
2016	J	`jnl`	Deep Survival: A Deep Cox Proportional Hazards Network. CoRR Jared Katzman, Uri Shaham, Alexander Cloninger, Jonathan Bates, Tingting Jiang, Yuval Kluger
2015	J	`jnl`	Bigeometric Organization of Deep Nets. CoRR Alexander Cloninger, Ronald R. Coifman, Nicholas Downing, Harlan M. Krumholz
2015	J	`jnl`	Diffusion Nets. CoRR Gal Mishne, Uri Shaham, Alexander Cloninger, Israel Cohen
2015	J	`jnl`	Hildreth's algorithm with applications to soft constraints for user interface layout. J. Comput. Appl. Math. Noreen Jamil, Xuemei Chen, Alexander Cloninger
2015	J	`jnl`	Provable approximation properties for deep neural networks. CoRR Uri Shaham, Alexander Cloninger, Ronald R. Coifman
2014	—	`—`	Exploiting Data-Dependent Structure for Improving Sensor Acquisition and Integration. Alexander Cloninger
2014	C	`conf`	Operator analysis and diffusion based embeddings for heterogeneous data fusion. IGARSS Alexander Cloninger, Wojciech Czaja, Timothy Doster
2014	J	`jnl`	Solving 2D Fredholm Integral from Incomplete Measurements Using Compressive Sensing. SIAM J. Imaging Sci. Alexander Cloninger, Wojciech Czaja, Ruiliang Bai, Peter J. Basser
2013	—	`conf`	A case study on data fusion with overlapping segments. AIPR Alexander Cloninger, Wojciech Czaja, Timothy Doster