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- Brian Patton
aka: Brian J. Patton
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Publication search results
found 32 matches
- 2024
- Tuan Anh Le, Pavel Sountsov, Matthew Douglas Hoffman, Ben Lee, Brian Patton, Rif A. Saurous:
Robust Inverse Graphics via Probabilistic Inference. ICML 2024 - Tuan Anh Le, Pavel Sountsov, Matthew D. Hoffman, Ben Lee, Brian Patton, Rif A. Saurous:
Robust Inverse Graphics via Probabilistic Inference. CoRR abs/2402.01915 (2024) - Feras Saad, Jacob Burnim, Colin Carroll, Brian Patton, Urs Köster, Rif A. Saurous, Matthew Hoffman:
Scalable Spatiotemporal Prediction with Bayesian Neural Fields. CoRR abs/2403.07657 (2024) - Thomas Colthurst, Srinivas Vasudevan, James Lottes, Brian Patton:
Fast Approximate Determinants Using Rational Functions. CoRR abs/2405.03474 (2024) - 2023
- Stan Ahalt, Paul Avillach, Rebecca R. Boyles, Kira Bradford, Steven Cox, Brandi Davis-Dusenbery, Robert L. Grossman, Ashok K. Krishnamurthy, Alisa Manning, Benedict Paten, Anthony Philippakis, Ingrid Borecki, Shu Hui Chen, Jon Kaltman, Sweta Ladwa, Chip Schwartz, Alastair Thomson, Sarah Davis, Alison Leaf, Jessica Lyons, Elizabeth Sheets, Joshua C. Bis, Matthew P. Conomos, Alessandro Culotti, Thomas N. Desain, Jack DiGiovanna, Milan Domazet, Stephanie M. Gogarten, Alba Gutiérrez-Sacristán, Tim Harris, Benjamin D. Heavner, Deepti Jain, Brian O'Connor, Kevin Osborn, Danielle Pillion, Jacob Pleiness, Ken Rice, Garrett Rupp, Arnaud Serret-Larmande, Albert Smith, Jason P. Stedman, Adrienne Stilp, Teresa Barsanti, John B. Cheadle, Christopher Erdmann, Brandy Farlow, Allie Gartland-Gray, Julie Hayes, Hannah Hiles, Paul Kerr, Chris Lenhardt, Tom Madden, Joanna O. Mieczkowska, Amanda Miller, Patrick Patton, Marcie Rathbun, Stephanie Suber, Joe Asare:
Building a collaborative cloud platform to accelerate heart, lung, blood, and sleep research. J. Am. Medical Informatics Assoc. 30(7): 1293-1300 (2023) - Feras Saad, Brian Patton, Matthew Douglas Hoffman, Rif A. Saurous, Vikash Mansinghka:
Sequential Monte Carlo Learning for Time Series Structure Discovery. ICML 2023: 29473-29489 - Feras A. Saad, Brian J. Patton, Matthew D. Hoffman, Rif A. Saurous, Vikash K. Mansinghka:
Sequential Monte Carlo Learning for Time Series Structure Discovery. CoRR abs/2307.09607 (2023) - Nishad Gothoskar, Matin Ghavami, Eric Li, Aidan Curtis, Michael Noseworthy, Karen Chung, Brian Patton, William T. Freeman, Joshua B. Tenenbaum, Mirko Klukas, Vikash K. Mansinghka:
Bayes3D: fast learning and inference in structured generative models of 3D objects and scenes. CoRR abs/2312.08715 (2023) - 2020
- Alexey Radul, Brian Patton, Dougal Maclaurin, Matthew D. Hoffman, Rif A. Saurous:
Automatically batching control-intensive programs for modern accelerators. MLSys 2020 - 2019
- Tera L. Reynolds, Brian J. Clay, Scott Rudkin, Sara Beckham, Danielle Perret, Joshua Glandorf, Pat Patton, Chris Longhurst, Kai Zheng:
Migrating from One Comprehensive Commercial EHR to Another: Perceptions of Front-line Clinicians and Staff. AMIA 2019 - Scott Wisdom, John R. Hershey, Kevin W. Wilson, Jeremy Thorpe, Michael Chinen, Brian Patton, Rif A. Saurous:
Differentiable Consistency Constraints for Improved Deep Speech Enhancement. ICASSP 2019: 900-904 - Ilya Kavalerov, Scott Wisdom, Hakan Erdogan, Brian Patton, Kevin W. Wilson, Jonathan Le Roux, John R. Hershey:
Universal Sound Separation. WASPAA 2019: 175-179 - Alex Withers, Brian Bockelman, Derek Weitzel, Duncan A. Brown, Jason Patton, Jeff Gaynor, Jim Basney, Todd Tannenbaum, You Alex Gao, Zach Miller:
SciTokens: Demonstrating Capability-Based Access to Remote Scientific Data using HTCondor. PEARC 2019: 118:1-118:4 - Ilya Kavalerov, Scott Wisdom, Hakan Erdogan, Brian Patton, Kevin W. Wilson, Jonathan Le Roux, John R. Hershey:
Universal Sound Separation. CoRR abs/1905.03330 (2019) - Alex Withers, Brian Bockelman, Derek Weitzel, Duncan A. Brown, Jason Patton, Jeff Gaynor, Jim Basney, Todd Tannenbaum, You Alex Gao, Zach Miller:
SciTokens: Demonstrating Capability-Based Access to Remote Scientific Data using HTCondor. CoRR abs/1905.09816 (2019) - Alexey Radul, Brian Patton, Dougal Maclaurin, Matthew D. Hoffman, Rif A. Saurous:
Automatically Batching Control-Intensive Programs for Modern Accelerators. CoRR abs/1910.11141 (2019) - 2018
- Kevin W. Wilson, Michael Chinen, Jeremy Thorpe, Brian Patton, John R. Hershey, Rif A. Saurous, Jan Skoglund, Richard F. Lyon:
Exploring Tradeoffs in Models for Low-Latency Speech Enhancement. IWAENC 2018: 366-370 - Kevin W. Wilson, Michael Chinen, Jeremy Thorpe, Brian Patton, John R. Hershey, Rif A. Saurous, Jan Skoglund, Richard F. Lyon:
Exploring Tradeoffs in Models for Low-latency Speech Enhancement. CoRR abs/1811.07030 (2018) - Scott Wisdom, John R. Hershey, Kevin W. Wilson, Jeremy Thorpe, Michael Chinen, Brian Patton, Rif A. Saurous:
Differentiable Consistency Constraints for Improved Deep Speech Enhancement. CoRR abs/1811.08521 (2018) - 2017
- Joshua V. Dillon, Ian Langmore, Dustin Tran, Eugene Brevdo, Srinivas Vasudevan, Dave Moore, Brian Patton, Alex Alemi, Matthew D. Hoffman, Rif A. Saurous:
TensorFlow Distributions. CoRR abs/1711.10604 (2017) - 2016
- S. V. Venkatakrishnan, K. Aditya Mohan, Keith Beattie, Joaquin Correa, Eli Dart, Jack Deslippe, Alexander Hexemer, Harinarayan Krishnan, Alastair A. MacDowell, Stefano Marchesini, Simon J. Patton, Talita Perciano, James A. Sethian, Rune Stromsness, Brian L. Tierney, Craig E. Tull, Daniela Ushizima, Dilworth Y. Parkinson:
Making Advanced Scientific Algorithms and Big Scientific Data Management More Accessible. Computational Imaging 2016: 1-7 - Brian Patton, Yannis Agiomyrgiannakis, Michael Terry, Kevin W. Wilson, Rif A. Saurous, D. Sculley:
AutoMOS: Learning a non-intrusive assessor of naturalness-of-speech. CoRR abs/1611.09207 (2016) - 2015
- Salman Habib, Robert Roser, Tom LeCompte, Zach Marshall, Anders Borgland, Brett Viren, Peter Nugent, Makoto Asai, Lothar Bauerdick, Hal Finkel, Steven Gottlieb, Stefan Hoeche, Paul Sheldon, Jean-Luc Vay, Peter Elmer, Michael Kirby, Simon J. Patton, Maxim Potekhin, Brian Yanny, Paolo Calafiura, Eli Dart, Oliver Gutsche, Taku Izubuchi, Adam Lyon, Don Petravick:
High Energy Physics Forum for Computational Excellence: Working Group Reports (I. Applications Software II. Software Libraries and Tools III. Systems). CoRR abs/1510.08545 (2015) - 2014
- Jason C. Patton, Brian K. Hornbuckle:
Comparison of SMOS-retrieved and NDVI climatology-derived vegetation optical thickness. IGARSS 2014: 2554-2557 - 2013
- Jason C. Patton, Brian K. Hornbuckle:
Initial Validation of SMOS Vegetation Optical Thickness in Iowa. IEEE Geosci. Remote. Sens. Lett. 10(4): 647-651 (2013) - 2012
- Lee K. Patton, Brian D. Rigling:
Autocorrelation Constraints in Radar Waveform Optimization for Detection. IEEE Trans. Aerosp. Electron. Syst. 48(2): 951-968 (2012) - Lee K. Patton, Brian D. Rigling:
Phase Retrieval for Radar Waveform Optimization. IEEE Trans. Aerosp. Electron. Syst. 48(4): 3287-3302 (2012) - Tracy L. Rowlandson, Brian K. Hornbuckle, Lisa M. Bramer, Jason C. Patton, Sally Logsdon:
Comparisons of Evening and Morning SMOS Passes Over the Midwest United States. IEEE Trans. Geosci. Remote. Sens. 50(5-1): 1544-1555 (2012) - Jason C. Patton, Brian K. Hornbuckle:
Initial validation of SMOS vegetation optical thickness in Iowa. IGARSS 2012: 3791-3794 - 2011
- Brian K. Hornbuckle, Tracy L. Rowlandson, Jason C. Patton, Lisa M. Bramer:
How is the angular signature of SMOS brightness temperature different in the morning and evening? IGARSS 2011: 3125-3128
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