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Dylan M. Paiton
Person information
- affiliation: University of Tübingen, Institute for Theoretical Physics, Germany
- affiliation: University of California, Berkeley, Redwood Center for Theoretical Neuroscience, CA, USA
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2020 – today
- 2021
- [c8]David A. Klindt, Lukas Schott, Yash Sharma, Ivan Ustyuzhaninov, Wieland Brendel, Matthias Bethge, Dylan M. Paiton:
Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding. ICLR 2021 - 2020
- [c7]Dylan M. Paiton, Steven Shepard, Kwan Ho Ryan Chan, Bruno A. Olshausen:
Subspace Locally Competitive Algorithms. NICE 2020: 9:1-9:8 - [i3]David A. Klindt, Lukas Schott, Yash Sharma, Ivan Ustyuzhaninov, Wieland Brendel, Matthias Bethge, Dylan M. Paiton:
Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding. CoRR abs/2007.10930 (2020)
2010 – 2019
- 2018
- [c6]Ryan Zarcone, Dylan M. Paiton, Alex Anderson, Jesse H. Engel, H.-S. Philip Wong, Bruno A. Olshausen:
Joint Source-Channel Coding with Neural Networks for Analog Data Compression and Storage. DCC 2018: 147-156 - [c5]Yubei Chen, Dylan M. Paiton, Bruno A. Olshausen:
The Sparse Manifold Transform. NeurIPS 2018: 10534-10545 - [i2]Yubei Chen, Dylan M. Paiton, Bruno A. Olshausen:
The Sparse Manifold Transform. CoRR abs/1806.08887 (2018) - 2016
- [c4]Sheng Y. Lundquist, Dylan M. Paiton, Peter F. Schultz, Garrett T. Kenyon
:
Sparse encoding of binocular images for depth inference. SSIAI 2016: 121-124 - 2015
- [c3]Dylan M. Paiton, Sheng Y. Lundquist, William Shainin, Xinhua Zhang, Peter F. Schultz, Garrett T. Kenyon:
A Deconvolutional Competitive Algorithm for Building Sparse Hierarchical Representations. BICT 2015: 535-542 - 2014
- [i1]Peter F. Schultz, Dylan M. Paiton, Wei Lu, Garrett T. Kenyon:
Replicating Kernels with a Short Stride Allows Sparse Reconstructions with Fewer Independent Kernels. CoRR abs/1406.4205 (2014) - 2013
- [c2]Sheng Y. Lundquist, Dylan M. Paiton, Brennan M. Nowers, Peter F. Schultz, Steven P. Brumby, Anders M. Jorgensen
Biologically inspired distributed sensor networks: Collective signal amplification via ultra-low bandwidth spike-based communication. IJCNN 2013: 1-9 - 2012
- [c1]Dylan M. Paiton, Steven P. Brumby, Garrett T. Kenyon
Combining multiple visual processing streams for locating and classifying objects in video. SSIAI 2012: 49-52
Coauthor Index
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