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ORCIDKristofer E. Bouchard
Person information
- affiliation: Lawrence Berkeley National Laboratory, USA
- affiliation: University of California at San Francisco, USA
- affiliation: Brandeis University, Boston, USA
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2020 – today
- 2022
[j12]Alexander Ladd, Kyung Geun Kim, Jan Balewski, Kristofer E. Bouchard, Roy Ben-Shalom:
Scaling and Benchmarking an Evolutionary Algorithm for Constructing Biophysical Neuronal Models. Frontiers Neuroinformatics 16 (2022)- [c15]Jesse A. Livezey
, Ahyeon Hwang, Jacob Yeung, Kristofer E. Bouchard:
Hangul Fonts Dataset: A Hierarchical and Compositional Dataset for Investigating Learned Representations. ICIAP (3) 2022: 3-14 - [c14]Jan Balewski, Zhenying Liu, Alexander Tsyplikhin, Manuel Lopez Roland, Kristofer E. Bouchard:
Time-series ML-regression on Graphcore IPU-M2000 and Nvidia A100. PMBS@SC 2022: 141-146 - [i13]Rui Meng, Tianyi Luo, Kristofer E. Bouchard:
Compressed Predictive Information Coding. CoRR abs/2203.02051 (2022) - [i12]E. 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:
FAIR for AI: An interdisciplinary, international, inclusive, and diverse community building perspective. CoRR abs/2210.08973 (2022) - 2021
- [j11]Charles G. Frye, James Simon, Neha S. Wadia, Andrew Ligeralde, Michael Robert DeWeese, Kristofer E. Bouchard:
Critical Point-Finding Methods Reveal Gradient-Flat Regions of Deep Network Losses. Neural Comput. 33(6): 1469-1497 (2021) - [c13]John Hermiz, Elias Joseph, Kyu Hyun Lee, Isabella A. Baldacci, Jason E. Chung, Loren M. Frank, Kristofer E. Bouchard, Peter Denes:
The impact of reducing signal acquisition specifications on neuronal spike sorting. EMBC 2021: 5914-5918 - [i11]Rui Meng, Herbie Lee, Kristofer E. Bouchard:
Collaborative Nonstationary Multivariate Gaussian Process Model. CoRR abs/2106.00719 (2021) - [i10]Rui Meng, Kristofer E. Bouchard:
Bayesian Inference in High-Dimensional Time-Serieswith the Orthogonal Stochastic Linear Mixing Model. CoRR abs/2106.13379 (2021) - [i9]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:
Learning from learning machines: a new generation of AI technology to meet the needs of science. CoRR abs/2111.13786 (2021) - 2020
- [j10]Sugeerth Murugesan, Kristofer E. Bouchard, Jesse A. Brown, Mariam Kiran, Dan Lurie, Bernd Hamann, Gunther H. Weber:
State-based network similarity visualization. Inf. Vis. 19(2) (2020) - [c12]Mahesh Balasubramanian, Trevor D. Ruiz, Brandon Cook, Prabhat, Sharmodeep Bhattacharyya, Aviral Shrivastava, Kristofer E. Bouchard:
Scaling of Union of Intersections for Inference of Granger Causal Networks from Observational Data. IPDPS 2020: 264-273 - [c11]Trevor D. Ruiz, Sharmodeep Bhattacharyya, Mahesh Balasubramanian, Kristofer E. Bouchard:
Sparse and Low-bias Estimation of High Dimensional Vector Autoregressive Models. L4DC 2020: 55-64 - [i8]Charles G. Frye, James Simon, Neha S. Wadia, Andrew Ligeralde, Michael Robert DeWeese, Kristofer E. Bouchard:
Critical Point-Finding Methods Reveal Gradient-Flat Regions of Deep Network Losses. CoRR abs/2003.10397 (2020)
2010 – 2019
- 2019
- [j9]Pratik S. Sachdeva, Jesse Livezey, Andrew J. Tritt, Kristofer E. Bouchard:
PyUoI: The Union of Intersections Framework in Python. J. Open Source Softw. 4(44): 1799 (2019) - [j8]Jesse A. Livezey, Kristofer E. Bouchard, Edward F. Chang:
Deep learning as a tool for neural data analysis: Speech classification and cross-frequency coupling in human sensorimotor cortex. PLoS Comput. Biol. 15(9) (2019) - [c10]Andrew J. Tritt, Oliver Rübel, Benjamin K. Dichter, Ryan Ly, Donghe Kang, Edward F. Chang, Loren M. Frank, Kristofer E. Bouchard:
HDMF: Hierarchical Data Modeling Framework for Modern Science Data Standards. IEEE BigData 2019: 165-179 - [c9]Pratik S. Sachdeva, Sharmodeep Bhattacharyya, Kristofer E. Bouchard:
Sparse, Predictive, and Interpretable Functional Connectomics with UoILasso. EMBC 2019: 1965-1968 - [c8]Maximilian E. Dougherty, Anh P. Q. Nguyen, Vyassa L. Baratham, Kristofer E. Bouchard:
Laminar origin of evoked ECoG high-gamma activity. EMBC 2019: 4391-4394 - [c7]David G. Clark, Jesse Livezey, Kristofer E. Bouchard:
Unsupervised Discovery of Temporal Structure in Noisy Data with Dynamical Components Analysis. NeurIPS 2019: 14267-14278 - [i7]Charles G. Frye, Neha S. Wadia, Michael Robert DeWeese, Kristofer E. Bouchard:
Numerically Recovering the Critical Points of a Deep Linear Autoencoder. CoRR abs/1901.10603 (2019) - [i6]David G. Clark, Jesse A. Livezey, Kristofer E. Bouchard:
Unsupervised Discovery of Temporal Structure in Noisy Data with Dynamical Components Analysis. CoRR abs/1905.09944 (2019) - [i5]Jesse A. Livezey, Ahyeon Hwang, Kristofer E. Bouchard:
Hangul Fonts Dataset: a Hierarchical and Compositional Dataset for Interrogating Learned Representations. CoRR abs/1905.13308 (2019) - 2018
- [j7]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:
International Neuroscience Initiatives through the Lens of High-Performance Computing. Computer 51(4): 50-59 (2018) - [i4]Jesse A. Livezey, Kristofer E. Bouchard, Edward F. Chang:
Deep learning as a tool for neural data analysis: speech classification and cross-frequency coupling in human sensorimotor cortex. CoRR abs/1803.09807 (2018) - [i3]David G. Clark, Jesse A. Livezey, Edward F. Chang, Kristofer E. Bouchard:
Spiking Linear Dynamical Systems on Neuromorphic Hardware for Low-Power Brain-Machine Interfaces. CoRR abs/1805.08889 (2018) - [i2]Anastasios Kyrillidis, Shashanka Ubaru, Georgios Kollias, Kristofer E. Bouchard:
Run Procrustes, Run! On the convergence of accelerated Procrustes Flow. CoRR abs/1806.00534 (2018) - [i1]Mahesh Balasubramanian, Trevor D. Ruiz, Brandon Cook, Sharmodeep Bhattacharyya, Prabhat, Aviral Shrivastava, Kristofer E. Bouchard:
Optimizing the Union of Intersections LASSO (UoILASSO) and Vector Autoregressive (UoIVAR) Algorithms for Improved Statistical Estimation at Scale. CoRR abs/1808.06992 (2018) - 2017
- [j6]Sugeerth Murugesan, Kristofer E. Bouchard, Edward F. Chang, Max Dougherty, Bernd Hamann, Gunther H. Weber:
Multi-scale visual analysis of time-varying electrocorticography data via clustering of brain regions. BMC Bioinform. 18(6): 236:1-236:15 (2017) - [j5]Sugeerth Murugesan, Kristofer E. Bouchard, Jesse A. Brown, Bernd Hamann, William W. Seeley, Andrew Trujillo, Gunther H. Weber:
Brain Modulyzer: Interactive Visual Analysis of Functional Brain Connectivity. IEEE ACM Trans. Comput. Biol. Bioinform. 14(4): 805-818 (2017) - [c6]Kristofer E. Bouchard, Alejandro F. Bujan, Edward F. Chang, Friedrich T. Sommer:
Sparse coding of ECoG signals identifies interpretable components for speech control in human sensorimotor cortex. EMBC 2017: 3636-3639 - [c5]Shashanka Ubaru, Kesheng Wu, Kristofer E. Bouchard:
UoI-NMF Cluster: A Robust Nonnegative Matrix Factorization Algorithm for Improved Parts-Based Decomposition and Reconstruction of Noisy Data. ICMLA 2017: 241-248 - [c4]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:
Union of Intersections (UoI) for Interpretable Data Driven Discovery and Prediction. NIPS 2017: 1078-1086 - 2016
- [j4]Oliver Rübel, Max Dougherty, Prabhat, Peter Denes, David Conant, Edward F. Chang, Kristofer E. Bouchard:
Methods for Specifying Scientific Data Standards and Modeling Relationships with Applications to Neuroscience. Frontiers Neuroinformatics 10: 48 (2016) - [c3]Sugeerth Murugesan, Kristofer E. Bouchard, Edward F. Chang, Max Dougherty, Bernd Hamann, Gunther H. Weber:
Hierarchical Spatio-temporal Visual Analysis of Cluster Evolution in Electrocorticography Data. BCB 2016: 630-639 - [c2]Houjun Tang, Surendra Byna, Steve Harenberg, Xiaocheng Zou, Wenzhao Zhang, Kesheng Wu, Bin Dong, Oliver Rübel, Kristofer E. Bouchard, Scott Klasky, Nagiza F. Samatova:
Usage Pattern-Driven Dynamic Data Layout Reorganization. CCGrid 2016: 356-365 - 2015
- [j3]Kristofer E. Bouchard, Surya Ganguli, Michael S. Brainard:
Role of the site of synaptic competition and the balance of learning forces for Hebbian encoding of probabilistic Markov sequences. Frontiers Comput. Neurosci. 9: 92 (2015) - [j2]Jason D. Wittenbach, Kristofer E. Bouchard, Michael S. Brainard, Dezhe Z. Jin:
An Adapting Auditory-motor Feedback Loop Can Contribute to Generating Vocal Repetition. PLoS Comput. Biol. 11(10) (2015) - 2014
- [c1]Kristofer E. Bouchard, Edward F. Chang:
Neural decoding of spoken vowels from human sensory-motor cortex with high-density electrocorticography. EMBC 2014: 6782-6785
2000 – 2009
- 2004
- [j1]Christian D. Swinehart, Kris Bouchard, Peretz Partensky, L. F. Abbott:
Control of network activity through neuronal response modulation. Neurocomputing 58-60: 327-335 (2004)
Coauthor Index
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