Randy C. Paffenroth

91 papers A* 1A 1B 6C 22Misc 6Journal 42Unranked 13

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Balancing Sparse RNNs with Hyperparameterization Benefiting Meta-Learning. CoRR Quincy Hershey, Randy C. Paffenroth
2025	J	`jnl`	Case Studies of Generative Machine Learning Models for Dynamical Systems. CoRR Nachiket Bapat, Randy C. Paffenroth, Raghvendra V. Cowlagi
2025	B	`conf`	IResNets: Iterative Residual Neural Networks. IEEE Big Data Shiquan He, Randy C. Paffenroth
2025	C	`conf`	Iterative Denoising Autoencoders with Adaptive Iterations Trained Using Sum Iteration Losses. ICMLA Shiquan He, Randy C. Paffenroth
2025	—	`conf`	Physically Constrained Adversarial Examples for Fine-Tuning Trajectory Classifiers. IEEECONF Simeon Krastev, Randy C. Paffenroth, Olivia Cava
2025	J	`jnl`	Principled Curriculum Learning using Parameter Continuation Methods. CoRR Harsh Nilesh Pathak, Randy C. Paffenroth
2025	J	`jnl`	Solo Connection: A Parameter Efficient Fine-Tuning Technique for Transformers. CoRR Harsh Nilesh Pathak, Randy C. Paffenroth
2025	C	`conf`	Sparse RNNs in Reinforcement Learning Applications. ICMLA Quincy Hershey, Randy C. Paffenroth
2025	—	`conf`	Synthetic Data Generation for Minimum-Exposure Navigation in a Time-Varying Environment using Generative AI Models. ECC Nachiket Bapat, Randy C. Paffenroth, Raghvendra V. Cowlagi
2025	J	`jnl`	Synthetic Data Generation for Minimum-Exposure Navigation in a Time-Varying Environment using Generative AI Models. CoRR Nachiket Bapat, Randy C. Paffenroth, Raghvendra V. Cowlagi
2025	C	`conf`	Unitary Vision: Deep Learning with Information Decorrelation for Signal Reconstruction. ICMLA Steven Tate, Randy C. Paffenroth
2024	C	`conf`	An Example of Synthetic Data Generation for Control Systems Using Generative Adversarial Networks: Zermelo Minimum-Time Navigation. ACC Nachiket Bapat, Randy C. Paffenroth, Raghvendra V. Cowlagi
2024	C	`conf`	Dynamical System Autoencoders. ICMLA Shiquan He, Randy C. Paffenroth, Olivia Cava, Cate Dunham
2024	C	`conf`	Oracle Embeddings for Chemical Detection. ICMLA Cate Dunham, Maria Barger, Randy C. Paffenroth, Joshua R. Uzarski, Chia-Wei Tsai
2024	J	`jnl`	Rethinking the Relationship between Recurrent and Non-Recurrent Neural Networks: A Study in Sparsity. CoRR Quincy Hershey, Randy C. Paffenroth, Harsh Nilesh Pathak, Simon Tavener
2024	C	`conf`	Virtual-Coordinate Based Sampling and Embedding for Machine Learning with Graph Data. ICMLA Zheyi Qin, Anura P. Jayasumana, Randy C. Paffenroth
2023	J	`jnl`	Autoencoder Feature Residuals for Network Intrusion Detection: One-Class Pretraining for Improved Performance. Mach. Learn. Knowl. Extr. Brian Lewandowski, Randy C. Paffenroth
2023	J	`jnl`	ChemTime: Rapid and Early Classification for Multivariate Time Series Classification of Chemical Sensors. CoRR Alexander M. Moore, Randy C. Paffenroth, Kenneth T. Ngo, Joshua R. Uzarski
2023	C	`conf`	ChemVise: Maximizing Out-of-Distribution Chemical Detection with a Novel Application of Transfer Learning. ICMLA Alexander M. Moore, Randy C. Paffenroth, Ken T. Ngo, Joshua R. Uzarski
2023	J	`jnl`	ChemVise: Maximizing Out-of-Distribution Chemical Detection with the Novel Application of Zero-Shot Learning. CoRR Alexander M. Moore, Randy C. Paffenroth, Ken T. Ngo, Joshua R. Uzarski
2023	C	`conf`	Conditioned Cycles in Sparse Data Domains: Applications to Electromagnetics. ICMLA Maria Barger, Randy C. Paffenroth, Harsh Nilesh Pathak
2023	J	`jnl`	Dimensionally reduced machine learning model for predicting single component octanol-water partition coefficients. J. Cheminformatics David H. Kenney, Randy C. Paffenroth, Michael T. Timko, Andrew R. Teixeira
2023	Misc	`conf`	Enhancing Neural Network Performance for Problems in the Physical Sciences: Applications to Electromagnetic Signal Source Localization. ACSSC Maria Barger, Evan C. Witz, Randy C. Paffenroth
2023	C	`conf`	Exploring Neural Network Structure through Sparse Recurrent Neural Networks: A Recasting and Distillation of Neural Network Hyperparameters. ICMLA Quincy Hershey, Randy C. Paffenroth, Harsh Nilesh Pathak
2023	B	`conf`	Graph Coordinates and Conventional Neural Networks - An Alternative for Graph Neural Networks. IEEE Big Data Zheyi Qin, Randy C. Paffenroth, Anura P. Jayasumana
2023	J	`jnl`	Graph Coordinates and Conventional Neural Networks - An Alternative for Graph Neural Networks. CoRR Zheyi Qin, Randy C. Paffenroth, Anura P. Jayasumana
2023	B	`conf`	One-class Classification Using Autoencoder Feature Residuals for Improved IoT Network Intrusion Detection. ICCCN Brian Lewandowski, Randy C. Paffenroth
2023	C	`conf`	Overwater Emitter Localization with a Single Receiver using Neural Network Modeling. ICMLA Maria Barger, Patrick Bidigare, D. Richard Brown, Ilana Heintz, Randy C. Paffenroth, Evan C. Witz
2023	C	`conf`	Sequentia12D: Organizing Center of Skip Connections for Transformers. ICMLA Harsh Nilesh Pathak, Randy C. Paffenroth, Quincy Hershey
2022	C	`conf`	ACGANs Improve Chemical Sensors for Challenging Distributions. ICMLA Alexander M. Moore, Randy C. Paffenroth, Ken T. Ngo, Joshua R. Uzarski
2022	C	`conf`	Autoencoder Feature Residuals for Network Intrusion Detection: Unsupervised Pre-training for Improved Performance. ICMLA Brian Lewandowski, Randy C. Paffenroth
2022	—	`conf`	Improving Network Intrusion Detection Using Autoencoder Feature Residuals. ICDIS Brian Lewandowski, Randy C. Paffenroth, Kayleigh Campbell
2022	J	`jnl`	Reconstruction of fragmented trajectories of collective motion using Hadamard deep autoencoders. Pattern Recognit. Kelum Gajamannage, Yonggi Park, Randy C. Paffenroth, Anura P. Jayasumana
2021	—	`conf`	A Pre-training Oracle for Predicting Distances in Social Networks. IEEE BigData Gunjan Mahindre, Rasika Karkare, Randy C. Paffenroth, Anura P. Jayasumana
2021	J	`jnl`	A Pre-training Oracle for Predicting Distances in Social Networks. CoRR Gunjan Mahindre, Randy C. Paffenroth, Anura P. Jayasumana, Rasika Karkare
2021	J	`jnl`	Blind Image Denoising and Inpainting Using Robust Hadamard Autoencoders. CoRR Rasika Karkare, Randy C. Paffenroth, Gunjan Mahindre
2021	J	`jnl`	Bounded manifold completion. Pattern Recognit. Kelum Gajamannage, Randy C. Paffenroth
2021	—	`conf`	Classification frameworks comparison on 3D point clouds. HPEC F. Patricia Medina, Randy C. Paffenroth
2021	C	`conf`	Deep Learning for Range Localization via Over-Water Electromagnetic Signals. ICMLA Evan C. Witz, Maria Barger, Randy C. Paffenroth
2021	—	`conf`	Dimension Estimation using Second Order data in Finance. IEEE BigData Nitish Bahadur, Randy C. Paffenroth
2021	J	`jnl`	Machine Learning in LiDAR 3D point clouds. CoRR F. Patricia Medina, Randy C. Paffenroth
2021	J	`jnl`	Neural Network Ensembles: Theory, Training, and the Importance of Explicit Diversity. CoRR Wenjing Li, Randy C. Paffenroth, David Berthiaume
2021	J	`jnl`	Reconstruction of Fragmented Trajectories of Collective Motion using Hadamard Deep Autoencoders. CoRR Kelum Gajamannage, Yonggi Park, Randy C. Paffenroth, Anura P. Jayasumana
2021	J	`jnl`	The Pseudo Projection Operator: Applications of Deep Learning to Projection Based Filtering in Non-Trivial Frequency Regimes. CoRR Matthew L. Weiss, Nathan C. Frey, Siddharth Samsi, Randy C. Paffenroth, Vijay Gadepally
2021	C	`conf`	Theory for Deep Learning Regression Ensembles with Application to Raman Spectroscopy Analysis. ICMLA Wenjing Li, Randy C. Paffenroth, Michael T. Timko, Matthew P. Rando, Avery B. Brown, N. Aaron Deskins
2020	J	`jnl`	A Patch-based Image Denoising Method Using Eigenvectors of the Geodesics' Gramian Matrix. CoRR Kelum Gajamannage, Randy C. Paffenroth, Anura P. Jayasumana
2020	—	`conf`	Air Quality and Cause-specific Mortality in the United States: Association Analysis by Regression and CCA for 1980-2014. HEALTHINF Erin Teeple, Caitlin Kuhlman, Brandon Werner, Randy C. Paffenroth, Elke A. Rundensteiner
2020	—	`conf`	Anomaly Detection in Exchange Traded Funds. IEEE BigData Nitish Bahadur, Randy C. Paffenroth
2020	J	`jnl`	Boosting gene expression clustering with system-wide biological information: a robust autoencoder approach. Int. J. Comput. Biol. Drug Des. Hongzhu Cui, Chong Zhou, Xinyu Dai, Yuting Liang, Randy C. Paffenroth, Dmitry Korkin
2020	C	`conf`	Dimension Estimation Using Autoencoders with Applications to Financial Market Analysis. ICMLA Nitish Bahadur, Randy C. Paffenroth
2020	B	`conf`	Inference in Social Networks from Ultra-Sparse Distance Measurements via Pretrained Hadamard Autoencoders. LCN Gunjan Mahindre, Rasika Karkare, Randy C. Paffenroth, Anura P. Jayasumana
2020	Misc	`conf`	Joint Coding and Modulation in the Ultra-Short Blocklength Regime for Bernoulli-Gaussian Impulsive Noise Channels Using Autoencoders. ICASSP Kirty Vedula, Randy C. Paffenroth, D. Richard Brown
2020	Misc	`conf`	Maneuvering Target Tracking using the Autoencoder-Interacting Multiple Model Filter. ACSSC Kirty Vedula, Matthew L. Weiss, Randy C. Paffenroth, Joshua R. Uzarski, D. Richard Brown
2020	—	`conf`	Reducing Reporting Burden of Healthcare Data Using Robust Principal Component Analysis. IEEE BigData Les Servi, Randy C. Paffenroth, Melanie Jutras, Deon Burchett
2020	C	`conf`	Topological Data Analysis to Engineer Features from Audio Signals for Depression Detection. ICMLA M. L. Tlachac, Adam Sargent, Ermal Toto, Randy C. Paffenroth, Elke A. Rundensteiner
2020	J	`jnl`	Understanding Deep Learning: Expected Spanning Dimension and Controlling the Flexibility of Neural Networks. Frontiers Appl. Math. Stat. David Berthiaume, Randy C. Paffenroth, Lei Guo
2019	J	`jnl`	A nonlinear dimensionality reduction framework using smooth geodesics. Pattern Recognit. Kelum Gajamannage, Randy C. Paffenroth, Erik M. Bollt
2019	J	`jnl`	Bounded Manifold Completion. CoRR Kelum Gajamannage, Randy C. Paffenroth
2019	Misc	`conf`	Deep Kernel Coherence Encoder. ACSSC Haitao Liu, Randy C. Paffenroth, Louis Scharf, Fangzheng Sun
2019	C	`conf`	Deep Learning with Domain Randomization for Optimal Filtering. ICMLA Matthew L. Weiss, Randy C. Paffenroth, Jacob Whitehill, Joshua R. Uzarski
2019	J	`jnl`	Detecting task demand via an eye tracking machine learning system. Decis. Support Syst. Mina Shojaeizadeh, Soussan Djamasbi, Randy C. Paffenroth, Andrew C. Trapp
2019	J	`jnl`	Dimension Estimation Using Autoencoders. CoRR Nitish Bahadur, Randy C. Paffenroth
2019	—	`conf`	Dimenslon Estlmatlon of Equlty Markets. IEEE BigData Nitish Bahadur, Randy C. Paffenroth, Kelum Gajamannage
2019	J	`jnl`	Network Topology Mapping From Partial Virtual Coordinates and Graph Geodesics. IEEE/ACM Trans. Netw. Anura P. Jayasumana, Randy C. Paffenroth, Gunjan Mahindre, Sridhar Ramasamy, Kelum Gajamannage
2019	B	`conf`	On Sampling and Recovery of Topology of Directed Social Networks - A Low-Rank Matrix Completion Based Approach. LCN Gunjan Mahindre, Anura P. Jayasumana, Kelum Gajamannage, Randy C. Paffenroth
2019	C	`conf`	Optimal Ensembles for Deep Learning Classification: Theory and Practice. ICMLA Wenjing Li, Randy C. Paffenroth
2019	C	`conf`	Parameter Continuation Methods for the Optimization of Deep Neural Networks. ICMLA Harsh Nilesh Pathak, Randy C. Paffenroth
2019	—	`conf`	Reconstruction of Agents' Corrupted Trajectories of Collective Motion Using Low-rank Matrix Completion. IEEE BigData Kelum Gajamannage, Randy C. Paffenroth
2019	J	`jnl`	Reinforcement Learning for Satellite Communications: From LEO to Deep Space Operations. IEEE Commun. Mag. Paulo Victor Rodrigues Ferreira, Randy C. Paffenroth, Alexander M. Wyglinski, Timothy M. Hackett, Sven G. Bilén, Richard C. Reinhart, Dale J. Mortensen
2019	Misc	`conf`	The Autoencoder-Kalman Filter: Theory and Practice. ACSSC Matthew L. Weiss, Randy C. Paffenroth, Joshua R. Uzarski
2018	J	`jnl`	Anomaly Detection via Graphical Lasso. CoRR Haitao Liu, Randy C. Paffenroth, Jian Zou, Chong Zhou
2018	J	`jnl`	Multiobjective Reinforcement Learning for Cognitive Satellite Communications Using Deep Neural Network Ensembles. IEEE J. Sel. Areas Commun. Paulo Victor Rodrigues Ferreira, Randy C. Paffenroth, Alexander M. Wyglinski, Timothy M. Hackett, Sven G. Bilén, Richard C. Reinhart, Dale J. Mortensen
2018	J	`jnl`	Network Topology Mapping from Partial Virtual Coordinates and Graph Geodesics. CoRR Anura P. Jayasumana, Randy C. Paffenroth, Gunjan Mahindre, Sridhar Ramasamy, Kelum Gajamannage
2018	B	`conf`	Permutation-Invariant Consensus over Crowdsourced Labels. HCOMP Michael Giancola, Randy C. Paffenroth, Jacob Whitehill
2018	J	`jnl`	Random Forests for mapping and analysis of microkinetics models. Comput. Chem. Eng. Behnam Partopour, Randy C. Paffenroth, Anthony G. Dixon
2018	J	`jnl`	Robust PCA for Anomaly Detection in Cyber Networks. CoRR Randy C. Paffenroth, Kathleen Kay, Les Servi
2017	J	`jnl`	A Nonlinear Dimensionality Reduction Framework Using Smooth Geodesics. CoRR Kelum Gajamannage, Randy C. Paffenroth, Erik M. Bollt
2017	A*	`conf`	Anomaly Detection with Robust Deep Autoencoders. KDD Chong Zhou, Randy C. Paffenroth
2017	J	`jnl`	Interactive Multiple Model Filter for Land-Mobile Satellite Communications at Ka-Band. IEEE Access Paulo Victor Rodrigues Ferreira, Randy C. Paffenroth, Alexander M. Wyglinski
2016	J	`jnl`	Duality in Geometric Graphs: Vector Graphs, Kirchhoff Graphs and Maxwell Reciprocal Figures. Symmetry Tyler Reese, Randy C. Paffenroth, Joseph D. Fehribach
2016	J	`jnl`	Experimental recovery regions for robust PCA. Signal Process. Vidarshana W. Bandara, Louis L. Scharf, Randy C. Paffenroth, Anura P. Jayasumana, Philip du Toit
2016	Misc	`conf`	Maximum likelihood identification of an information matrix under constraints in a corresponding graphical model. ACSSC Randy C. Paffenroth, Nan Li, Louis L. Scharf
2016	—	`conf`	Topology maps and distance-free localization from partial virtual coordinates for IoT networks. ICC Anura P. Jayasumana, Randy C. Paffenroth, Sridhar Ramasamy
2015	—	`conf`	Python in Data Science Research and Education. SciPy Randy C. Paffenroth, Xiangnan Kong
2013	J	`jnl`	Space-Time Signal Processing for Distributed Pattern Detection in Sensor Networks. IEEE J. Sel. Top. Signal Process. Randy C. Paffenroth, Philip du Toit, Ryan Nong, Louis Scharf, Anura P. Jayasumana, Vidarshana W. Bandara
2010	C	`conf`	Analysis of CBRN sensor fusion methods. FUSION Scott M. Lundberg, Randy C. Paffenroth, Jason Yosinski
2009	J	`jnl`	Electromagnetic integral equations requiring small numbers of Krylov-subspace iterations. J. Comput. Phys. Oscar P. Bruno, Tim Elling, Randy C. Paffenroth, Catalin Turc
2007	J	`jnl`	Elemental Periodic orbits Associated with the libration Points in the Circular Restricted 3-Body Problem. Int. J. Bifurc. Chaos Eusebius J. Doedel, Volodymyr A. Romanov, Randy C. Paffenroth, Herbert B. Keller, D. J. Dichmann, Jorge Galán-Vioque, André Vanderbauwhede
2003	J	`jnl`	Computation of Periodic Solutions of Conservative Systems with Application to the 3-body Problem. Int. J. Bifurc. Chaos Eusebius J. Doedel, Randy C. Paffenroth, Herbert B. Keller, D. J. Dichmann, Jorge Galán-Vioque, André Vanderbauwhede
2002	J	`jnl`	Calculation of the Stability Index in Parameter-Dependent Calculus of Variations Problems: Buckling of a Twisted Elastic Strut. SIAM J. Appl. Dyn. Syst. Kathleen A. Hoffman, Robert S. Manning, Randy C. Paffenroth
1994	A	`conf`	A Case Study on Visualization for Boundary Value Problems. IEEE Visualization Gábor Domokos, Randy C. Paffenroth