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Auto-Calibration of Remote Sensing Solar Telescopes with Deep Learning

Nov 10, 2019
Brad Neuberg, Souvik Bose, Valentina Salvatelli, Luiz F. G. dos Santos, Mark Cheung, Miho Janvier, Atilim Gunes Baydin, Yarin Gal, Meng Jin

* 6 pages, 3 figures, Accepted at NeurIPS 2019 Workshop ML4PS 

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Using U-Nets to Create High-Fidelity Virtual Observations of the Solar Corona

Nov 10, 2019
Valentina Salvatelli, Souvik Bose, Brad Neuberg, Luiz F. G. dos Santos, Mark Cheung, Miho Janvier, Atilim Gunes Baydin, Yarin Gal, Meng Jin

* 5 pages, 6 figures, Accepted at the NeurIPS 2019 Workshop ML4PS 

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Bayesian Deep Learning for Exoplanet Atmospheric Retrieval

Dec 02, 2018
Frank Soboczenski, Michael D. Himes, Molly D. O'Beirne, Simone Zorzan, Atilim Gunes Baydin, Adam D. Cobb, Yarin Gal, Daniel Angerhausen, Massimo Mascaro, Giada N. Arney, Shawn D. Domagal-Goldman

* Third workshop on Bayesian Deep Learning (NeurIPS 2018), Montreal, Canada 

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Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model

Sep 01, 2018
Atilim Gunes Baydin, Lukas Heinrich, Wahid Bhimji, Bradley Gram-Hansen, Gilles Louppe, Lei Shao, Prabhat, Kyle Cranmer, Frank Wood

* 18 pages, 5 figures 

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Online Learning Rate Adaptation with Hypergradient Descent

Feb 26, 2018
Atilim Gunes Baydin, Robert Cornish, David Martinez Rubio, Mark Schmidt, Frank Wood

* In Sixth International Conference on Learning Representations (ICLR), Vancouver, Canada, April 30 -- May 3, 2018. https://openreview.net/forum?id=BkrsAzWAb 
* 11 pages, 4 figures 

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Automatic differentiation in machine learning: a survey

Feb 05, 2018
Atilim Gunes Baydin, Barak A. Pearlmutter, Alexey Andreyevich Radul, Jeffrey Mark Siskind

* Atilim Gunes Baydin, Barak A. Pearlmutter, Alexey Andreyevich Radul, Jeffrey Mark Siskind. Automatic differentiation in machine learning: a survey. The Journal of Machine Learning Research, 18(153):1--43, 2018 
* 43 pages, 5 figures 

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Improvements to Inference Compilation for Probabilistic Programming in Large-Scale Scientific Simulators

Dec 21, 2017
Mario Lezcano Casado, Atilim Gunes Baydin, David Martinez Rubio, Tuan Anh Le, Frank Wood, Lukas Heinrich, Gilles Louppe, Kyle Cranmer, Karen Ng, Wahid Bhimji, Prabhat

* 7 pages, 2 figures 

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Using Synthetic Data to Train Neural Networks is Model-Based Reasoning

Mar 02, 2017
Tuan Anh Le, Atilim Gunes Baydin, Robert Zinkov, Frank Wood

* 8 pages, 4 figures 

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Inference Compilation and Universal Probabilistic Programming

Mar 02, 2017
Tuan Anh Le, Atilim Gunes Baydin, Frank Wood

* In Proceedings of the 20th International Conference on Artificial Intelligence and Statistics (AISTATS 2017), 54:1338--1348. Proceedings of Machine Learning Research. Fort Lauderdale, FL, USA: PMLR 
* 11 pages, 6 figures 

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A semantic network-based evolutionary algorithm for computational creativity

Jul 14, 2014
Atilim Gunes Baydin, Ramon Lopez de Mantaras, Santiago Ontanon

* Evolutionary Intelligence, 8(1):3-21 (2015) 
* 20 pages, 14 figures, revision after reviews, changed title 

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Automatic Differentiation of Algorithms for Machine Learning

Apr 28, 2014
Atilim Gunes Baydin, Barak A. Pearlmutter

* 7 pages, 1 figure 

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Automated Generation of Cross-Domain Analogies via Evolutionary Computation

Apr 11, 2012
Atilim Gunes Baydin, Ramon Lopez de Mantaras, Santiago Ontanon

* In Proceedings of the Third International Conference on Computational Creativity, Dublin, Ireland, May 30-June 1, 2012. Dublin: University College Dublin, 2012, pp. 25-32 
* Conference submission, International Conference on Computational Creativity 2012 (8 pages, 6 figures) 

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Evolution of central pattern generators for the control of a five-link bipedal walking mechanism

Mar 29, 2012
Atilim Gunes Baydin

* Paladyn. Journal of Behavioral Robotics 3(1), 45-53 (2012) 
* 11 pages, 9 figures; substantial revision of content, organization, and quantitative results 

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Evolution of Ideas: A Novel Memetic Algorithm Based on Semantic Networks

Jan 17, 2012
Atilim Gunes Baydin, Ramon Lopez de Mantaras

* In Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2012, IEEE World Congress On Computational Intelligence, WCCI 2012, Brisbane, Australia, June 10-15 2012. IEEE Press, 2012, pp. 2653-2660 
* Conference submission, 2012 IEEE Congress on Evolutionary Computation (8 pages, 7 figures) 

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CBR with Commonsense Reasoning and Structure Mapping: An Application to Mediation

Oct 12, 2011
Atilim Gunes Baydin, Ramon Lopez de Mantaras, Simeon Simoff, Carles Sierra

* Case-Based Reasoning Research and Development, LNCS (LNAI), Volume 6880 (2011), 378-392, Springer Berlin / Heidelberg, ISBN: 978-3-642-23290-9 
* 15 pages, 3 figures; updated copyright notice 

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