Brian Nord

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 41

Top Topics

Gaussian Process

Robust Estimator

Top Venues

Astron. Comput.

Mach. Learn. Sci. Technol.

J. Open Source Softw.

Publications

Franco Terranova, Maggie Voetberg, Brian Nord, Amanda Pagul
Self-Driving Telescopes: Autonomous Scheduling of Astronomical Observation Campaigns with Offline Reinforcement Learning. CoRR (2023)
Davide Piras, Hiranya V. Peiris, Andrew Pontzen, Luisa Lucie-Smith, Ningyuan Guo, Brian Nord
A robust estimator of mutual information for deep learning interpretability. Mach. Learn. Sci. Technol. 4 (2) (2023)
Daniela Huppenkothen, Michelle Ntampaka, M. Ho, M. Fouesneau, Brian Nord, Joshua E. G. Peek, M. Walmsley, J. F. Wu, Camille Avestruz, T. Buck, M. Brescia, D. P. Finkbeiner, Andy D. Goulding, Tomasz Kacprzak, Peter Melchior, M. Pasquato, Nesar Ramachandra, Y.-S. Ting, G. van de Ven, S. Villar, V. A. Villar, E. Zinger
Constructing Impactful Machine Learning Research for Astronomy: Best Practices for Researchers and Reviewers. CoRR (2023)
Andrea Roncoli, Aleksandra Ciprijanovic, Maggie Voetberg, Francisco Villaescusa-Navarro, Brian Nord
Domain Adaptive Graph Neural Networks for Constraining Cosmological Parameters Across Multiple Data Sets. CoRR (2023)
Aleksandra Ciprijanovic, A. Lewis, K. Pedro, Sandeep Madireddy, Brian Nord, Gabriel N. Perdue, Stefan M. Wild
DeepAstroUDA: Semi-Supervised Universal Domain Adaptation for Cross-Survey Galaxy Morphology Classification and Anomaly Detection. CoRR (2023)
Samuel D. McDermott, M. Voetberg, Brian Nord
WavPool: A New Block for Deep Neural Networks. CoRR (2023)
Aleksandra Ciprijanovic, Ashia Lewis, Kevin Pedro, Sandeep Madireddy, Brian Nord, Gabriel N. Perdue, Stefan M. Wild
DeepAstroUDA: semi-supervised universal domain adaptation for cross-survey galaxy morphology classification and anomaly detection. Mach. Learn. Sci. Technol. 4 (2) (2023)
Gourav Khullar, Brian Nord, Aleksandra Ciprijanovic, Jason Poh, Fei Xu
DIGS: deep inference of galaxy spectra with neural posterior estimation. Mach. Learn. Sci. Technol. 3 (4) (2022)
Davide Piras, Hiranya V. Peiris, Andrew Pontzen, Luisa Lucie-Smith, Ningyuan Guo, Brian Nord
A robust estimator of mutual information for deep learning interpretability. CoRR (2022)
Luisa Lucie-Smith, Hiranya V. Peiris, Andrew Pontzen, Brian Nord, Jeyan Thiyagalingam, Davide Piras
Discovering the building blocks of dark matter halo density profiles with neural networks. CoRR (2022)
Cora Dvorkin, Siddharth Mishra-Sharma, Brian Nord, V. Ashley Villar, Camille Avestruz, Keith Bechtol, Aleksandra Ciprijanovic, Andrew J. Connolly, Lehman H. Garrison, Gautham Narayan, Francisco Villaescusa-Navarro
Machine Learning and Cosmology. CoRR (2022)
Thomas Y. Chen, Biprateep Dey, Aishik Ghosh, Michael Kagan, Brian Nord, Nesar Ramachandra
Interpretable Uncertainty Quantification in AI for HEP. CoRR (2022)
Fengxue Zhang, Brian Nord, Yuxin Chen
Learning Representation for Bayesian Optimization with Collision-free Regularization. CoRR (2022)
Aleksandra Ciprijanovic, Diana Kafkes, Gregory F. Snyder, F. Javier Sánchez, Gabriel Nathan Perdue, Kevin Pedro, Brian Nord, Sandeep Madireddy, Stefan M. Wild
DeepAdversaries: examining the robustness of deep learning models for galaxy morphology classification. Mach. Learn. Sci. Technol. 3 (3) (2022)
Egor Danilov, Aleksandra Ciprijanovic, Brian Nord
Neural Inference of Gaussian Processes for Time Series Data of Quasars. CoRR (2022)
Dimitrios Tanoglidis, Aleksandra Ciprijanovic, Alex Drlica-Wagner, Brian Nord, Michael H. L. S. Wang, A. Jacob Amsellem, K. Downey, S. Jenkins, Diana Kafkes, Z. Zhang
DeepGhostBusters: Using Mask R-CNN to detect and mask ghosting and scattered-light artifacts from optical survey images. Astron. Comput. 39 (2022)
Aleksandra Ciprijanovic, Ashia Lewis, Kevin Pedro, Sandeep Madireddy, Brian Nord, Gabriel N. Perdue, Stefan M. Wild
Semi-Supervised Domain Adaptation for Cross-Survey Galaxy Morphology Classification and Anomaly Detection. CoRR (2022)
Zhen Lin, Nicholas Huang, Camille Avestruz, W. L. Kimmy Wu, Shubhendu Trivedi, João Caldeira, Brian Nord
DeepSZ: Identification of Sunyaev-Zel'dovich Galaxy Clusters using Deep Learning. CoRR (2021)
Robert Morgan, Brian Nord, Simon Birrer, Joshua Yao-Yu Lin, Jason Poh
deeplenstronomy: A dataset simulation package for strong gravitational lensing. J. Open Source Softw. 6 (58) (2021)
João Caldeira, Brian Nord
Deeply uncertain: comparing methods of uncertainty quantification in deep learning algorithms. Mach. Learn. Sci. Technol. 2 (1) (2021)
Aleksandra Ciprijanovic, Diana Kafkes, K. Downey, S. Jenkins, Gabriel N. Perdue, Sandeep Madireddy, T. Johnston, Gregory F. Snyder, Brian Nord
DeepMerge II: Building Robust Deep Learning Algorithms for Merging Galaxy Identification Across Domains. CoRR (2021)
Aleksandra Ciprijanovic, Diana Kafkes, Gregory F. Snyder, F. Javier Sánchez, Gabriel Nathan Perdue, Kevin Pedro, Brian Nord, Sandeep Madireddy, Stefan M. Wild
DeepAdversaries: Examining the Robustness of Deep Learning Models for Galaxy Morphology Classification. CoRR (2021)
Aleksandra Ciprijanovic, Diana Kafkes, Gabriel N. Perdue, Kevin Pedro, Gregory F. Snyder, F. Javier Sánchez, Sandeep Madireddy, Stefan M. Wild, Brian Nord
Robustness of deep learning algorithms in astronomy - galaxy morphology studies. CoRR (2021)
Miles D. Cranmer, Peter Melchior, Brian Nord
Unsupervised Resource Allocation with Graph Neural Networks. CoRR (2021)
C. Chang, Alex Drlica-Wagner, S. M. Kent, Brian Nord, D. M. Wang, M. H. L. S. Wang
A machine learning approach to the detection of ghosting and scattered light artifacts in dark energy survey images. Astron. Comput. 36 (2021)
Adam Amara, Lucia de la Bella, Simon Birrer, Sarah Bridle, Juan Cordero, Ginevra Favole, Ian Harrison, Ian Harry, William G. Hartley, Coleman Krawczyk, Andrew Lundgren, Brian Nord, Laura Nuttall, Richard Rollins, Philipp Sudek, Sut-Ieng Tam, Nicolas Tessore, Arthur Tolley, Keiichi Umetsu, Andrew Williamson, Laura Wolz
SkyPy: A package for modelling the Universe. J. Open Source Softw. 6 (68) (2021)
Faryad Sahneh, Meghan A. Balk, Marina Kisley, Chi-Kwan Chan, Mercury Fox, Brian Nord, Eric Lyons, Tyson Swetnam, Daniela Huppenkothen, Will Sutherland, Ramona L. Walls, Daven P. Quinn, Tonantzin Tarin, David S. LeBauer, David Ribes, Dunbar P. Birnie III, Carol Lushbough, Eric Carr, Grey Nearing, Jeremy Fischer, Kevin Tyle, Luis Carrasco, Meagan Lang, Peter W. Rose, Richard R. Rushforth, Samapriya Roy, Thomas Matheson, Tina Lee, C. Titus Brown, Tracy K. Teal, Monica Papes, Stephen G. Kobourov, Nirav C. Merchant
Ten simple rules to cultivate transdisciplinary collaboration in data science. PLoS Comput. Biol. 17 (5) (2021)
Aleksandra Ciprijanovic, Gregory F. Snyder, Brian Nord, Joshua E. G. Peek
DeepMerge: Classifying high-redshift merging galaxies with deep neural networks. Astron. Comput. 32 (2020)
Miles D. Cranmer, Peter Melchior, Brian Nord
Unsupervised Resource Allocation with Graph Neural Networks. Preregister@NeurIPS (2020)
Aleksandra Ciprijanovic, Gregory F. Snyder, Brian Nord, Joshua E. G. Peek
DeepMerge: Classifying High-redshift Merging Galaxies with Deep Neural Networks. CoRR (2020)
Aleksandra Ciprijanovic, Diana Kafkes, S. Jenkins, K. Downey, Gabriel N. Perdue, Sandeep Madireddy, T. Johnston, Brian Nord
Domain adaptation techniques for improved cross-domain study of galaxy mergers. CoRR (2020)
João Caldeira, Brian Nord
Deeply Uncertain: Comparing Methods of Uncertainty Quantification in Deep Learning Algorithms. CoRR (2020)
Luisa Lucie-Smith, Hiranya V. Peiris, Andrew Pontzen, Brian Nord, Jeyan Thiyagalingam
Deep learning insights into cosmological structure formation. CoRR (2020)
James Amundson, James Annis, Camille Avestruz, D. Bowring, João Caldeira, Giuseppe Cerati, C. Chang, Scott Dodelson, D. Elvira, A. Farahi, K. Genser, Lindsey Gray, Oliver Gutsche, Philip C. Harris, Jamie Kinney, James B. Kowalkowski, Rob Kutschke, S. Mrenna, Brian Nord, A. Para, Kevin Pedro, Gabriel N. Perdue, A. Scheinker, Panagiotis Spentzouris, J. St. John, Nhan Tran, Shubhendu Trivedi, Laura Trouille, W. L. K. Wu, C. R. Bom
Response to NITRD, NCO, NSF Request for Information on "Update to the 2016 National Artificial Intelligence Research and Development Strategic Plan". CoRR (2019)
João Caldeira, W. L. K. Wu, Brian Nord, Camille Avestruz, Shubhendu Trivedi, K. T. Story
DeepCMB: Lensing reconstruction of the cosmic microwave background with deep neural networks. Astron. Comput. 28 (2019)
Brian Nord, Andrew J. Connolly, Jamie Kinney, Jeremy Kubica, Gautaum Narayan, Joshua E. G. Peek, Chad Schafer, Erik J. Tollerud, Camille Avestruz, Gutti Jogesh Babu, Simon Birrer, Douglas Burke, João Caldeira, Douglas A. Caldwell, Joleen K. Carlberg, Yen-Chi Chen, Chuanfei Dong, Eric D. Feigelson, V. Zach Golkhou, Vinay Kashyap, T. S. Li, Thomas Loredo, Luisa Lucie-Smith, Kaisey S. Mandel, J. R. Martínez-Galarza, Adam A. Miller, Priyamvada Natarajan, Michelle Ntampaka, Andy Ptak, David Rapetti, Lior Shamir, Aneta Siemiginowska, Brigitta M. Sipocz, Arfon M. Smith, Nhan Tran, Ricardo Vilalta, Lucianne M. Walkowicz, John ZuHone
Algorithms and Statistical Models for Scientific Discovery in the Petabyte Era. CoRR (2019)
João Caldeira, Joshua Job, Steven H. Adachi, Brian Nord, Gabriel N. Perdue
Restricted Boltzmann Machines for galaxy morphology classification with a quantum annealer. CoRR (2019)
M. J. Marquez, Brian Nord
Challenges and Approaches for Mining Astronomical Data and Complex Models. BCD (2019)
João Caldeira, W. L. K. Wu, Brian Nord, Camille Avestruz, Shubhendu Trivedi, K. T. Story
DeepCMB: Lensing Reconstruction of the Cosmic Microwave Background with Deep Neural Networks. CoRR (2018)
Brian Nord, Adam Amara, Alexandre Réfrégier, La. Gamper, Lukas Gamper, B. Hambrecht, Chihway L. Chang, Jaime E. Forero-Romero, Santiago Serrano, Carla Cunha, O. Coles, Andrina Nicola, Michael T. Busha, Anne H. Bauer, Will J. Saunders, Stéphanie Jouvel, Donnacha Kirk, Risa H. Wechsler
SPOKES: An end-to-end simulation facility for spectroscopic cosmological surveys. Astron. Comput. 15 (2016)
Peter Melchior, Erin Sheldon, Alex Drlica-Wagner, Eli S. Rykoff, Timothy M. C. Abbott, Filipe B. Abdalla, Sahar Allam, Aurélien Benoit-Lévy, David D. Brooks, Elizabeth Buckley-Geer, Aurelio Carnero Rosell, Matias Carrasco Kind, Jorge Carretero, Martín Crocce, Chris D'Andrea, Luiz Nicolaci da Costa, Shantanu Desai, Peter Doel, August E. Evrard, David A. Finley, Brenna L. Flaugher, Joshua A. Frieman, Enrique Gaztañaga, David W. Gerdes, Daniel Gruen, Richard A. Gruendl, Klaus Honscheid, David J. James, Michael J. Jarvis, Kyler W. Kuehn, Ting S. Li, Marcio A. G. Maia, Marisa C. March, Jennifer L. Marshall, Brian Nord, Ricardo Ogando, Andreas Alejandro Plazas, Anita K. Römer, Eusebio Sánchez, Victor E. Scarpine, Ignacio Sevilla-Noarbe, Robert C. Smith, Marcelle Soares-Santos, Eric Suchyta, Mollye E. C. Swanson, Gregory G. Tarlé, Vinu Vikram, Alistair R. Walker, William C. Wester, Yuanyuan Zhang
Crowdsourcing quality control for Dark Energy Survey images. Astron. Comput. 16 (2016)