Kristofer E. Bouchard
Orcid: 0000-0002-1974-4603Affiliations:
- Lawrence Berkeley National Laboratory, USA
- University of California at San Francisco, USA
- Brandeis University, Boston, USA
According to our database1,
Kristofer E. Bouchard
authored at least 39 papers
between 2004 and 2024.
Collaborative distances:
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Bibliography
2024
Numerical characterization of support recovery in sparse regression with correlated design.
Commun. Stat. Simul. Comput., March, 2024
2023
2022
Scaling and Benchmarking an Evolutionary Algorithm for Constructing Biophysical Neuronal Models.
Frontiers Neuroinformatics, 2022
FAIR for AI: An interdisciplinary, international, inclusive, and diverse community building perspective.
CoRR, 2022
Proceedings of the IEEE/ACM International Workshop on Performance Modeling, 2022
Hangul Fonts Dataset: A Hierarchical and Compositional Dataset for Investigating Learned Representations.
Proceedings of the Image Analysis and Processing - ICIAP 2022, 2022
2021
Neural Comput., 2021
Learning from learning machines: a new generation of AI technology to meet the needs of science.
CoRR, 2021
Bayesian Inference in High-Dimensional Time-Serieswith the Orthogonal Stochastic Linear Mixing Model.
CoRR, 2021
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
2020
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020
Scaling of Union of Intersections for Inference of Granger Causal Networks from Observational Data.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020
2019
Deep learning as a tool for neural data analysis: Speech classification and cross-frequency coupling in human sensorimotor cortex.
PLoS Comput. Biol., 2019
Hangul Fonts Dataset: a Hierarchical and Compositional Dataset for Interrogating Learned Representations.
CoRR, 2019
Unsupervised Discovery of Temporal Structure in Noisy Data with Dynamical Components Analysis.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
2018
Optimizing the Union of Intersections LASSO (UoI<sub>LASSO</sub>) and Vector Autoregressive (UoI<sub>VAR</sub>) Algorithms for Improved Statistical Estimation at Scale.
CoRR, 2018
Spiking Linear Dynamical Systems on Neuromorphic Hardware for Low-Power Brain-Machine Interfaces.
CoRR, 2018
International Neuroscience Initiatives through the Lens of High-Performance Computing.
Computer, 2018
2017
IEEE ACM Trans. Comput. Biol. Bioinform., 2017
Multi-scale visual analysis of time-varying electrocorticography data via clustering of brain regions.
BMC Bioinform., 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
UoI-NMF Cluster: A Robust Nonnegative Matrix Factorization Algorithm for Improved Parts-Based Decomposition and Reconstruction of Noisy Data.
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017
Sparse coding of ECoG signals identifies interpretable components for speech control in human sensorimotor cortex.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
2016
Methods for Specifying Scientific Data Standards and Modeling Relationships with Applications to Neuroscience.
Frontiers Neuroinformatics, 2016
Proceedings of the IEEE/ACM 16th International Symposium on Cluster, 2016
Hierarchical Spatio-temporal Visual Analysis of Cluster Evolution in Electrocorticography Data.
Proceedings of the 7th ACM International Conference on Bioinformatics, 2016
2015
An Adapting Auditory-motor Feedback Loop Can Contribute to Generating Vocal Repetition.
PLoS Comput. Biol., 2015
Role of the site of synaptic competition and the balance of learning forces for Hebbian encoding of probabilistic Markov sequences.
Frontiers Comput. Neurosci., 2015
2014
Neural decoding of spoken vowels from human sensory-motor cortex with high-density electrocorticography.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
2004
Neurocomputing, 2004