Kristofer E. Bouchard

48 papers A* 1A 1B 1C 1Journal 33Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Open-source models for development of data and metadata standards. Patterns Ariel Rokem, Vani Mandava, Nicoleta Cristea, Anshul Tambay, Kristofer E. Bouchard, Carolina Berys-Gonzalez, Andy Connolly
2024	J	`jnl`	AutoCT: Automated CT registration, segmentation, and quantification. SoftwareX Zhe Bai, Abdelilah Essiari, Talita Perciano, Kristofer E. Bouchard
2024	J	`jnl`	Bayesian inference of structured latent spaces from neural population activity with the orthogonal stochastic linear mixing model. PLoS Comput. Biol. Rui Meng, Kristofer E. Bouchard
2024	J	`jnl`	Identifying Feedforward and Feedback Controllable Subspaces of Neural Population Dynamics. CoRR Ankit Kumar, Loren M. Frank, Kristofer E. Bouchard
2024	J	`jnl`	Methods for Linking Data to Online Resources and Ontologies with Applications to Neurophysiology. CoRR Matthew Avaylon, Ryan Ly, Andrew J. Tritt, Benjamin K. Dichter, Kristofer E. Bouchard, Christopher J. Mungall, Oliver Rübel
2024	J	`jnl`	Numerical characterization of support recovery in sparse regression with correlated design. Commun. Stat. Simul. Comput. Ankit Kumar, Sharmodeep Bhattacharyya, Kristofer E. Bouchard
2024	J	`jnl`	The Artificial Intelligence Ontology: LLM-Assisted Construction of AI Concept Hierarchies. Appl. Ontology Marcin P. Joachimiak, Mark A. Miller, J. Harry Caufield, Ryan Ly, Nomi L. Harris, Andrew J. Tritt, Christopher J. Mungall, Kristofer E. Bouchard
2024	J	`jnl`	The Artificial Intelligence Ontology: LLM-assisted construction of AI concept hierarchies. CoRR Marcin P. Joachimiak, Mark A. Miller, J. Harry Caufield, Ryan Ly, Nomi L. Harris, Andrew J. Tritt, Christopher J. Mungall, Kristofer E. Bouchard
2023	J	`jnl`	AutoCT: Automated CT registration, segmentation, and quantification. CoRR Zhe Bai, Abdelilah Essiari, Talita Perciano, Kristofer E. Bouchard
2022	J	`jnl`	Compressed Predictive Information Coding. CoRR Rui Meng, Tianyi Luo, Kristofer E. Bouchard
2022	J	`jnl`	FAIR for AI: An interdisciplinary, international, inclusive, and diverse community building perspective. CoRR Eliu A. Huerta, Ben Blaiszik, L. Catherine Brinson, Kristofer E. Bouchard, Daniel Diaz, Caterina Doglioni, Javier M. Duarte, Murali Emani, Ian T. Foster, Geoffrey C. Fox, Philip C. Harris, Lukas Heinrich, Shantenu Jha, Daniel S. Katz, Volodymyr V. Kindratenko, Christine R. Kirkpatrick, Kati Lassila-Perini, Ravi K. Madduri, Mark S. Neubauer, Fotis E. Psomopoulos, Avik Roy, Oliver Rübel, Zhizhen Zhao, Ruike Zhu
2022	—	`conf`	Hangul Fonts Dataset: A Hierarchical and Compositional Dataset for Investigating Learned Representations. ICIAP (3) Jesse A. Livezey, Ahyeon Hwang, Jacob Yeung, Kristofer E. Bouchard
2022	J	`jnl`	Scaling and Benchmarking an Evolutionary Algorithm for Constructing Biophysical Neuronal Models. Frontiers Neuroinformatics Alexander Ladd, Kyung Geun Kim, Jan Balewski, Kristofer E. Bouchard, Roy Ben-Shalom
2022	—	`conf`	Time-series ML-regression on Graphcore IPU-M2000 and Nvidia A100. PMBS@SC Jan Balewski, Zhenying Liu, Alexander Tsyplikhin, Manuel Lopez Roland, Kristofer E. Bouchard
2021	J	`jnl`	Bayesian Inference in High-Dimensional Time-Serieswith the Orthogonal Stochastic Linear Mixing Model. CoRR Rui Meng, Kristofer E. Bouchard
2021	J	`jnl`	Collaborative Nonstationary Multivariate Gaussian Process Model. CoRR Rui Meng, Herbie Lee, Kristofer E. Bouchard
2021	J	`jnl`	Critical Point-Finding Methods Reveal Gradient-Flat Regions of Deep Network Losses. Neural Comput. Charles G. Frye, James Simon, Neha S. Wadia, Andrew Ligeralde, Michael Robert DeWeese, Kristofer E. Bouchard
2021	J	`jnl`	Learning from learning machines: a new generation of AI technology to meet the needs of science. CoRR Luca Pion-Tonachini, Kristofer E. Bouchard, Héctor García Martín, Sean Peisert, W. Bradley Holtz, Anil Aswani, Dipankar Dwivedi, Haruko M. Wainwright, Ghanshyam Pilania, Benjamin Nachman, Babetta L. Marrone, Nicola Falco, Prabhat, Daniel B. Arnold, Alejandro Wolf-Yadlin, Sarah Powers, Sharlee Climer, Quinn Jackson, Ty Carlson, Michael Sohn, Petrus H. Zwart, Neeraj Kumar, Amy Justice, Claire J. Tomlin, Daniel A. Jacobson, Gos Micklem, Georgios V. Gkoutos, Peter J. Bickel, Jean-Baptiste Cazier, Juliane Müller, Bobbie-Jo Webb-Robertson, Rick Stevens, Mark Anderson, Kenneth Kreutz-Delgado, Michael W. Mahoney, James B. Brown
2021	—	`conf`	The impact of reducing signal acquisition specifications on neuronal spike sorting. EMBC John Hermiz, Elias Joseph, Kyu Hyun Lee, Isabella A. Baldacci, Jason E. Chung, Loren M. Frank, Kristofer E. Bouchard, Peter Denes
2020	J	`jnl`	Critical Point-Finding Methods Reveal Gradient-Flat Regions of Deep Network Losses. CoRR Charles G. Frye, James Simon, Neha S. Wadia, Andrew Ligeralde, Michael Robert DeWeese, Kristofer E. Bouchard
2020	A	`conf`	Scaling of Union of Intersections for Inference of Granger Causal Networks from Observational Data. IPDPS Mahesh Balasubramanian, Trevor D. Ruiz, Brandon Cook, Prabhat, Sharmodeep Bhattacharyya, Aviral Shrivastava, Kristofer E. Bouchard
2020	—	`conf`	Sparse and Low-bias Estimation of High Dimensional Vector Autoregressive Models. L4DC Trevor D. Ruiz, Sharmodeep Bhattacharyya, Mahesh Balasubramanian, Kristofer E. Bouchard
2020	J	`jnl`	State-based network similarity visualization. Inf. Vis. Sugeerth Murugesan, Kristofer E. Bouchard, Jesse A. Brown, Mariam Kiran, Dan Lurie, Bernd Hamann, Gunther H. Weber
2019	J	`jnl`	Deep learning as a tool for neural data analysis: Speech classification and cross-frequency coupling in human sensorimotor cortex. PLoS Comput. Biol. Jesse A. Livezey, Kristofer E. Bouchard, Edward F. Chang
2019	—	`conf`	HDMF: Hierarchical Data Modeling Framework for Modern Science Data Standards. IEEE BigData Andrew J. Tritt, Oliver Rübel, Benjamin K. Dichter, Ryan Ly, Donghe Kang, Edward F. Chang, Loren M. Frank, Kristofer E. Bouchard
2019	J	`jnl`	Hangul Fonts Dataset: a Hierarchical and Compositional Dataset for Interrogating Learned Representations. CoRR Jesse A. Livezey, Ahyeon Hwang, Kristofer E. Bouchard
2019	—	`conf`	Laminar origin of evoked ECoG high-gamma activity. EMBC Maximilian E. Dougherty, Anh P. Q. Nguyen, Vyassa L. Baratham, Kristofer E. Bouchard
2019	J	`jnl`	Numerically Recovering the Critical Points of a Deep Linear Autoencoder. CoRR Charles G. Frye, Neha S. Wadia, Michael Robert DeWeese, Kristofer E. Bouchard
2019	J	`jnl`	PyUoI: The Union of Intersections Framework in Python. J. Open Source Softw. Pratik S. Sachdeva, Jesse Livezey, Andrew J. Tritt, Kristofer E. Bouchard
2019	—	`conf`	Sparse, Predictive, and Interpretable Functional Connectomics with UoILasso. EMBC Pratik S. Sachdeva, Sharmodeep Bhattacharyya, Kristofer E. Bouchard
2019	A*	`conf`	Unsupervised Discovery of Temporal Structure in Noisy Data with Dynamical Components Analysis. NeurIPS David G. Clark, Jesse Livezey, Kristofer E. Bouchard
2019	J	`jnl`	Unsupervised Discovery of Temporal Structure in Noisy Data with Dynamical Components Analysis. CoRR David G. Clark, Jesse A. Livezey, Kristofer E. Bouchard
2018	J	`jnl`	Deep learning as a tool for neural data analysis: speech classification and cross-frequency coupling in human sensorimotor cortex. CoRR Jesse A. Livezey, Kristofer E. Bouchard, Edward F. Chang
2018	J	`jnl`	International Neuroscience Initiatives through the Lens of High-Performance Computing. Computer Kristofer E. Bouchard, James B. Aimone, Miyoung Chun, Thomas Dean, Michael Denker, Markus Diesmann, David Donofrio, Loren M. Frank, Narayanan Kasthuri, Christof Koch, Oliver Rübel, Horst D. Simon, Friedrich T. Sommer, Prabhat
2018	J	`jnl`	Optimizing the Union of Intersections LASSO (UoI CoRR Mahesh Balasubramanian, Trevor D. Ruiz, Brandon Cook, Sharmodeep Bhattacharyya, Prabhat, Aviral Shrivastava, Kristofer E. Bouchard
2018	J	`jnl`	Run Procrustes, Run! On the convergence of accelerated Procrustes Flow. CoRR Anastasios Kyrillidis, Shashanka Ubaru, Georgios Kollias, Kristofer E. Bouchard
2018	J	`jnl`	Spiking Linear Dynamical Systems on Neuromorphic Hardware for Low-Power Brain-Machine Interfaces. CoRR David G. Clark, Jesse A. Livezey, Edward F. Chang, Kristofer E. Bouchard
2017	J	`jnl`	Brain Modulyzer: Interactive Visual Analysis of Functional Brain Connectivity. IEEE ACM Trans. Comput. Biol. Bioinform. Sugeerth Murugesan, Kristofer E. Bouchard, Jesse A. Brown, Bernd Hamann, William W. Seeley, Andrew Trujillo, Gunther H. Weber
2017	J	`jnl`	Multi-scale visual analysis of time-varying electrocorticography data via clustering of brain regions. BMC Bioinform. Sugeerth Murugesan, Kristofer E. Bouchard, Edward F. Chang, Max Dougherty, Bernd Hamann, Gunther H. Weber
2017	—	`conf`	Sparse coding of ECoG signals identifies interpretable components for speech control in human sensorimotor cortex. EMBC Kristofer E. Bouchard, Alejandro F. Bujan, Edward F. Chang, Friedrich T. Sommer
2017	—	`conf`	Union of Intersections (UoI) for Interpretable Data Driven Discovery and Prediction. NIPS Kristofer E. Bouchard, Alejandro F. Bujan, Farbod Roosta-Khorasani, Shashanka Ubaru, Prabhat, Antoine Snijders, Jian-Hua Mao, Edward F. Chang, Michael W. Mahoney, Sharmodeep Bhattacharyya
2017	C	`conf`	UoI-NMF Cluster: A Robust Nonnegative Matrix Factorization Algorithm for Improved Parts-Based Decomposition and Reconstruction of Noisy Data. ICMLA Shashanka Ubaru, Kesheng Wu, Kristofer E. Bouchard
2016	—	`conf`	Hierarchical Spatio-temporal Visual Analysis of Cluster Evolution in Electrocorticography Data. BCB Sugeerth Murugesan, Kristofer E. Bouchard, Edward F. Chang, Max Dougherty, Bernd Hamann, Gunther H. Weber
2016	J	`jnl`	Methods for Specifying Scientific Data Standards and Modeling Relationships with Applications to Neuroscience. Frontiers Neuroinformatics Oliver Rübel, Max Dougherty, Prabhat, Peter Denes, David Conant, Edward F. Chang, Kristofer E. Bouchard
2016	B	`conf`	Usage Pattern-Driven Dynamic Data Layout Reorganization. CCGrid Houjun Tang, Surendra Byna, Steve Harenberg, Xiaocheng Zou, Wenzhao Zhang, Kesheng Wu, Bin Dong, Oliver Rübel, Kristofer E. Bouchard, Scott Klasky, Nagiza F. Samatova
2015	J	`jnl`	An Adapting Auditory-motor Feedback Loop Can Contribute to Generating Vocal Repetition. PLoS Comput. Biol. Jason D. Wittenbach, Kristofer E. Bouchard, Michael S. Brainard, Dezhe Z. Jin
2015	J	`jnl`	Role of the site of synaptic competition and the balance of learning forces for Hebbian encoding of probabilistic Markov sequences. Frontiers Comput. Neurosci. Kristofer E. Bouchard, Surya Ganguli, Michael S. Brainard
2014	—	`conf`	Neural decoding of spoken vowels from human sensory-motor cortex with high-density electrocorticography. EMBC Kristofer E. Bouchard, Edward F. Chang