Brian Nord - RankMe

50 papers A 1Journal 47Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Automating Sensor Characterization with Bayesian Optimization. CoRR J. Cuevas-Zepeda, C. Chavez, Juan Estrada, J. Noonan, Brian Nord, N. Saffold, Miguel Sofo Haro, R. Spinola e Castro, Shubhendu Trivedi
2025	J	`jnl`	DeepBench: A simulation package for physical benchmarking data. J. Open Source Softw. Maggie Voetberg, Ashia Livaudais, Becky Nevin, Omari Paul, Brian Nord
2025	J	`jnl`	On the Need to Align Intent and Implementation in Uncertainty Quantification for Machine Learning. CoRR Shubhendu Trivedi, Brian Nord
2025	J	`jnl`	SIDDA: SInkhorn Dynamic Domain Adaptation for Image Classification with Equivariant Neural Networks. CoRR Sneh Pandya, Purvik Patel, Brian Nord, Mike Walmsley, Aleksandra Ciprijanovic
2025	A	`conf`	Symmetry-Based Structured Matrices for Efficient Approximately Equivariant Networks. AISTATS Ashwin Samudre, Mircea Petrache, Brian Nord, Shubhendu Trivedi
2024	J	`jnl`	DeepUQ: Assessing the Aleatoric Uncertainties from two Deep Learning Methods. CoRR Rebecca Nevin, Aleksandra Ciprijanovic, Brian Nord
2024	J	`jnl`	Domain-Adaptive Neural Posterior Estimation for Strong Gravitational Lens Analysis. CoRR Paxson Swierc, Marcos Tamargo-Arizmendi, Aleksandra Ciprijanovic, Brian Nord
2024	J	`jnl`	Neural Network Prediction of Strong Lensing Systems with Domain Adaptation and Uncertainty Quantification. CoRR Shrihan Agarwal, Aleksandra Ciprijanovic, Brian Nord
2024	J	`jnl`	Symmetry-Based Structured Matrices for Efficient Approximately Equivariant Networks. CoRR Ashwin Samudre, Mircea Petrache, Brian Nord, Shubhendu Trivedi
2023	J	`jnl`	A robust estimator of mutual information for deep learning interpretability. Mach. Learn. Sci. Technol. Davide Piras, Hiranya V. Peiris, Andrew Pontzen, Luisa Lucie-Smith, Ningyuan Guo, Brian Nord
2023	J	`jnl`	Constructing Impactful Machine Learning Research for Astronomy: Best Practices for Researchers and Reviewers. CoRR Daniela Huppenkothen, Michelle Ntampaka, M. Ho, M. Fouesneau, Brian Nord, Joshua E. G. Peek, Mike Walmsley, John F. Wu, Camille Avestruz, Tobias Buck, M. Brescia, D. P. Finkbeiner, Andy D. Goulding, Tomasz Kacprzak, Peter Melchior, M. Pasquato, Nesar Ramachandra, Yuan-Sen Ting, G. van de Ven, S. Villar, V. A. Villar, Elad Zinger
2023	J	`jnl`	DeepAstroUDA: Semi-Supervised Universal Domain Adaptation for Cross-Survey Galaxy Morphology Classification and Anomaly Detection. CoRR Aleksandra Ciprijanovic, Ashia Lewis, Kevin Pedro, Sandeep Madireddy, Brian Nord, Gabriel N. Perdue, Stefan M. Wild
2023	J	`jnl`	DeepAstroUDA: semi-supervised universal domain adaptation for cross-survey galaxy morphology classification and anomaly detection. Mach. Learn. Sci. Technol. Aleksandra Ciprijanovic, Ashia Lewis, Kevin Pedro, Sandeep Madireddy, Brian Nord, Gabriel N. Perdue, Stefan M. Wild
2023	J	`jnl`	Domain Adaptive Graph Neural Networks for Constraining Cosmological Parameters Across Multiple Data Sets. CoRR Andrea Roncoli, Aleksandra Ciprijanovic, Maggie Voetberg, Francisco Villaescusa-Navarro, Brian Nord
2023	J	`jnl`	Self-Driving Telescopes: Autonomous Scheduling of Astronomical Observation Campaigns with Offline Reinforcement Learning. CoRR Franco Terranova, Maggie Voetberg, Brian Nord, Amanda Pagul
2023	J	`jnl`	WavPool: A New Block for Deep Neural Networks. CoRR Samuel D. McDermott, Maggie Voetberg, Brian Nord
2022	J	`jnl`	A robust estimator of mutual information for deep learning interpretability. CoRR Davide Piras, Hiranya V. Peiris, Andrew Pontzen, Luisa Lucie-Smith, Ningyuan Guo, Brian Nord
2022	J	`jnl`	DIGS: deep inference of galaxy spectra with neural posterior estimation. Mach. Learn. Sci. Technol. Gourav Khullar, Brian Nord, Aleksandra Ciprijanovic, Jason Poh, Fei Xu
2022	J	`jnl`	DeepAdversaries: examining the robustness of deep learning models for galaxy morphology classification. Mach. Learn. Sci. Technol. Aleksandra Ciprijanovic, Diana Kafkes, Gregory F. Snyder, F. Javier Sánchez, Gabriel Nathan Perdue, Kevin Pedro, Brian Nord, Sandeep Madireddy, Stefan M. Wild
2022	J	`jnl`	DeepGhostBusters: Using Mask R-CNN to detect and mask ghosting and scattered-light artifacts from optical survey images. Astron. Comput. 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
2022	J	`jnl`	Discovering the building blocks of dark matter halo density profiles with neural networks. CoRR Luisa Lucie-Smith, Hiranya V. Peiris, Andrew Pontzen, Brian Nord, Jeyan Thiyagalingam, Davide Piras
2022	J	`jnl`	Interpretable Uncertainty Quantification in AI for HEP. CoRR Thomas Y. Chen, Biprateep Dey, Aishik Ghosh, Michael Kagan, Brian Nord, Nesar Ramachandra
2022	J	`jnl`	Learning Representation for Bayesian Optimization with Collision-free Regularization. CoRR Fengxue Zhang, Brian Nord, Yuxin Chen
2022	J	`jnl`	Machine Learning and Cosmology. CoRR 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
2022	J	`jnl`	Neural Inference of Gaussian Processes for Time Series Data of Quasars. CoRR Egor Danilov, Aleksandra Ciprijanovic, Brian Nord
2022	J	`jnl`	Semi-Supervised Domain Adaptation for Cross-Survey Galaxy Morphology Classification and Anomaly Detection. CoRR Aleksandra Ciprijanovic, Ashia Lewis, Kevin Pedro, Sandeep Madireddy, Brian Nord, Gabriel N. Perdue, Stefan M. Wild
2021	J	`jnl`	A machine learning approach to the detection of ghosting and scattered light artifacts in dark energy survey images. Astron. Comput. Chihway L. Chang, Alex Drlica-Wagner, S. M. Kent, Brian Nord, Donah Michelle Wang, Michael H. L. S. Wang
2021	J	`jnl`	DeepAdversaries: Examining the Robustness of Deep Learning Models for Galaxy Morphology Classification. CoRR Aleksandra Ciprijanovic, Diana Kafkes, Gregory F. Snyder, F. Javier Sánchez, Gabriel Nathan Perdue, Kevin Pedro, Brian Nord, Sandeep Madireddy, Stefan M. Wild
2021	J	`jnl`	DeepMerge II: Building Robust Deep Learning Algorithms for Merging Galaxy Identification Across Domains. CoRR Aleksandra Ciprijanovic, Diana Kafkes, K. Downey, S. Jenkins, Gabriel N. Perdue, Sandeep Madireddy, T. Johnston, Gregory F. Snyder, Brian Nord
2021	J	`jnl`	DeepSZ: Identification of Sunyaev-Zel'dovich Galaxy Clusters using Deep Learning. CoRR Zhen Lin, Nicholas Huang, Camille Avestruz, W. L. Kimmy Wu, Shubhendu Trivedi, João Caldeira, Brian Nord
2021	J	`jnl`	Deeply uncertain: comparing methods of uncertainty quantification in deep learning algorithms. Mach. Learn. Sci. Technol. João Caldeira, Brian Nord
2021	J	`jnl`	Robustness of deep learning algorithms in astronomy - galaxy morphology studies. CoRR Aleksandra Ciprijanovic, Diana Kafkes, Gabriel N. Perdue, Kevin Pedro, Gregory F. Snyder, F. Javier Sánchez, Sandeep Madireddy, Stefan M. Wild, Brian Nord
2021	J	`jnl`	SkyPy: A package for modelling the Universe. J. Open Source Softw. Adam Amara, Lucia de la Bella, Simon Birrer, Sarah Bridle, Juan Cordero, Ginevra Favole, Ian Harrison, Ian Harry, William G. Hartley, Coleman Krawczyk, Andrew P. Lundgren, Brian Nord, Laura Nuttall, Richard Rollins, Philipp Sudek, Sut-Ieng Tam, Nicolas Tessore, Arthur Tolley, Keiichi Umetsu, Andrew Williamson, Laura Wolz
2021	J	`jnl`	Ten simple rules to cultivate transdisciplinary collaboration in data science. PLoS Comput. Biol. Faryad Sahneh, Meghan A. Balk, Marina Kisley, Chi-Kwan Chan, Mercury Fox, Brian Nord, Eric Lyons, Tyson Lee 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
2021	J	`jnl`	Unsupervised Resource Allocation with Graph Neural Networks. CoRR Miles D. Cranmer, Peter Melchior, Brian Nord
2021	J	`jnl`	deeplenstronomy: A dataset simulation package for strong gravitational lensing. J. Open Source Softw. Robert Morgan, Brian Nord, Simon Birrer, Joshua Yao-Yu Lin, Jason Poh
2020	J	`jnl`	Deep learning insights into cosmological structure formation. CoRR Luisa Lucie-Smith, Hiranya V. Peiris, Andrew Pontzen, Brian Nord, Jeyan Thiyagalingam
2020	J	`jnl`	DeepMerge: Classifying High-redshift Merging Galaxies with Deep Neural Networks. CoRR Aleksandra Ciprijanovic, Gregory F. Snyder, Brian Nord, Joshua E. G. Peek
2020	J	`jnl`	DeepMerge: Classifying high-redshift merging galaxies with deep neural networks. Astron. Comput. Aleksandra Ciprijanovic, Gregory F. Snyder, Brian Nord, Joshua E. G. Peek
2020	J	`jnl`	Deeply Uncertain: Comparing Methods of Uncertainty Quantification in Deep Learning Algorithms. CoRR João Caldeira, Brian Nord
2020	J	`jnl`	Domain adaptation techniques for improved cross-domain study of galaxy mergers. CoRR Aleksandra Ciprijanovic, Diana Kafkes, S. Jenkins, K. Downey, Gabriel N. Perdue, Sandeep Madireddy, T. Johnston, Brian Nord
2020	—	`conf`	Unsupervised Resource Allocation with Graph Neural Networks. Preregister@NeurIPS Miles D. Cranmer, Peter Melchior, Brian Nord
2019	J	`jnl`	Algorithms and Statistical Models for Scientific Discovery in the Petabyte Era. CoRR 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 L. 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
2019	—	`conf`	Challenges and Approaches for Mining Astronomical Data and Complex Models. BCD M. J. Marquez, Brian Nord
2019	J	`jnl`	DeepCMB: Lensing reconstruction of the cosmic microwave background with deep neural networks. Astron. Comput. João Caldeira, W. L. K. Wu, Brian Nord, Camille Avestruz, Shubhendu Trivedi, K. T. Story
2019	J	`jnl`	Response to NITRD, NCO, NSF Request for Information on "Update to the 2016 National Artificial Intelligence Research and Development Strategic Plan". CoRR James F. Amundson, James Annis, Camille Avestruz, D. Bowring, João Caldeira, Giuseppe Cerati, Chihway L. Chang, Scott Dodelson, D. Elvira, A. Farahi, Krzysztof L. 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, Alexander Scheinker, Panagiotis Spentzouris, J. St. John, Nhan Tran, Shubhendu Trivedi, Laura Trouille, W. L. K. Wu, C. R. Bom
2019	J	`jnl`	Restricted Boltzmann Machines for galaxy morphology classification with a quantum annealer. CoRR João Caldeira, Joshua A. Job, Steven H. Adachi, Brian Nord, Gabriel N. Perdue
2018	J	`jnl`	DeepCMB: Lensing Reconstruction of the Cosmic Microwave Background with Deep Neural Networks. CoRR João Caldeira, W. L. K. Wu, Brian Nord, Camille Avestruz, Shubhendu Trivedi, K. T. Story
2016	J	`jnl`	Crowdsourcing quality control for Dark Energy Survey images. Astron. Comput. 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
2016	J	`jnl`	SPOKES: An end-to-end simulation facility for spectroscopic cosmological surveys. Astron. Comput. 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