Micah Bowles - RankMe

13 papers A* 1Journal 12

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	IRIS: A Bayesian Approach for Image Reconstruction in Radio Interferometry with expressive Score-Based priors. CoRR Noe Dia, M. J. Yantovski-Barth, Alexandre Adam, Micah Bowles, Laurence Perreault Levasseur, Yashar Hezaveh, Anna M. M. Scaife
2025	J	`jnl`	Universal Spectral Tokenization via Self-Supervised Panchromatic Representation Learning. CoRR Jeff Shen, François Lanusse, Liam Holden Parker, Ollie Liu, Tom Hehir, Leopoldo Sarra, Lucas Meyer, Micah Bowles, Sebastian Wagner-Carena, Helen Qu, Siavash Golkar, Alberto Bietti, Hatim Bourfoune, Nathan Cassereau, Pierre Cornette, Keiya Hirashima, Géraud Krawezik, Ruben Ohana, Nicholas Lourie, Michael McCabe, Rudy Morel, Payel Mukhopadhyay, Mariel Pettee, Bruno Régaldo-Saint Blancard, Kyunghyun Cho, Miles D. Cranmer, Shirley Ho
2025	J	`jnl`	What We Don't C: Representations for scientific discovery beyond VAEs. CoRR Brian Rogers, Micah Bowles, Chris J. Lintott, Steve Croft
2024	J	`jnl`	Scaling Laws for Galaxy Images. CoRR Mike Walmsley, Micah Bowles, Anna M. M. Scaife, Jason Shingirai Makechemu, Alexander J. Gordon, Annette M. N. Ferguson, Robert G. Mann, James Pearson, Jürgen J. Popp, Jo Bovy, Joshua S. Speagle, Hugh Dickinson, Lucy Fortson, Tobias Géron, Sandor Kruk, Chris J. Lintott, Kameswara Bharadwaj Mantha, Devina Mohan, David O'Ryan, Inigo V. Slijepcevic
2024	A*	`conf`	The Multimodal Universe: Enabling Large-Scale Machine Learning with 100 TB of Astronomical Scientific Data. NeurIPS Eirini Angeloudi, Jeroen Audenaert, Micah Bowles, Benjamin M. Boyd, David Chemaly, Brian Cherinka, Ioana Ciuca, Miles D. Cranmer, Aaron Do, Matthew Grayling, Erin E. Hayes, Tom Hehir, Shirley Ho, Marc Huertas-Company, Kartheik Iyer, Maja Jablonska, François Lanusse, Henry Leung, Kaisey Mandel, Rafael Martínez-Galarza, Peter Melchior, Lucas Meyer, Liam Holden Parker, Helen Qu, Jeff Shen, Michael J. Smith, Connor Stone, Mike Walmsley, John F. Wu
2023	J	`jnl`	Bayesian Imaging for Radio Interferometry with Score-Based Priors. CoRR Noe Dia, M. J. Yantovski-Barth, Alexandre Adam, Micah Bowles, Pablo Lemos, Anna M. M. Scaife, Yashar Hezaveh, Laurence Perreault Levasseur
2023	J	`jnl`	Zoobot: Adaptable Deep Learning Models for Galaxy Morphology. J. Open Source Softw. Mike Walmsley, Campbell Allen, Ben Aussel, Micah Bowles, Kasia Gregorowicz, Inigo Val Slijepcevic, Chris J. Lintott, Anna M. M. Scaife, Maja Jablonska, Kosio Karchev, Denise Lanzieri, Devina Mohan, David O'Ryan, Bharath Saiguhan, Crisel Suárez, Nicolás Guerra-Varas, Renuka Velu
2022	J	`jnl`	A New Task: Deriving Semantic Class Targets for the Physical Sciences. CoRR Micah Bowles, Hongming Tang, Eleni Vardoulaki, Emma L. Alexander, Yan Luo, Lawrence Rudnick, Mike Walmsley, Fiona Porter, Anna M. M. Scaife, Inigo Val Slijepcevic, Gary Segal
2022	J	`jnl`	Quantifying Uncertainty in Deep Learning Approaches to Radio Galaxy Classification. CoRR Devina Mohan, Anna M. M. Scaife, Fiona Porter, Mike Walmsley, Micah Bowles
2022	J	`jnl`	Radio Galaxy Zoo: Using semi-supervised learning to leverage large unlabelled data-sets for radio galaxy classification under data-set shift. CoRR Inigo V. Slijepcevic, Anna M. M. Scaife, Mike Walmsley, Micah Bowles, Ivy Wong, Stanislav S. Shabala, Hongming Tang
2022	J	`jnl`	Towards Galaxy Foundation Models with Hybrid Contrastive Learning. CoRR Mike Walmsley, Inigo Val Slijepcevic, Micah Bowles, Anna M. M. Scaife
2021	J	`jnl`	E(2) Equivariant Self-Attention for Radio Astronomy. CoRR Micah Bowles, Matthew Bromley, Max Allen, Anna M. M. Scaife
2020	J	`jnl`	Attention-gating for improved radio galaxy classification. CoRR Micah Bowles, Anna M. M. Scaife, Fiona Porter, Hongming Tang, David J. Bastien