Harnessing the power of gradient-based simulations for multi-objective optimization in particle accelerators by Kishansingh Rajput, Malachi Schram, Auralee Edelen, Jonathan Colen, Armen Kasparian, Ryan Roussel, Adam Carpenter, He Zhang, Jay Benesch

“…Machine Learning: Science and Technology…”
Get full text

SIDDA: SInkhorn Dynamic Domain Adaptation for image classification with equivariant neural networks by Sneh Pandya, Purvik Patel, Brian D Nord, Mike Walmsley, Aleksandra Ćiprijanović

“…Machine Learning: Science and Technology…”
Get full text

Deep-learning-based canopy height model generation from sub-meter resolution panchromatic satellite imagery by Charles J Abolt, Javier E Santos, Adam L Atchley, Lucas Wells, Daithi Martin, Russell A Parsons, Rodman R Linn

“…Machine Learning: Science and Technology…”
Get full text

Training multi-layer binary neural networks with random local binary error signals by Luca Colombo, Fabrizio Pittorino, Manuel Roveri

“…Machine Learning: Science and Technology…”
Get full text

Machine learning-powered data cleaning for LEGEND: a semi-supervised approach using affinity propagation and support vector machines by E León, A Li, M A Bahena Schott, B Bos, M Busch, J R Chapman, G L Duran, J Gruszko, R Henning, E L Martin, J F Wilkerson

“…Machine Learning: Science and Technology…”
Get full text

Aspen Open Jets: unlocking LHC data for foundation models in particle physics by Oz Amram, Luca Anzalone, Joschka Birk, Darius A Faroughy, Anna Hallin, Gregor Kasieczka, Michael Krämer, Ian Pang, Humberto Reyes-Gonzalez, David Shih

“…Machine Learning: Science and Technology…”
Get full text

Physics instrument design with reinforcement learning by Shah Rukh Qasim, Patrick Owen, Nicola Serra

“…Machine Learning: Science and Technology…”
Get full text

Improving generative inverse design of molecular catalysts in small data regime by François Cornet, Pratham Deshmukh, Bardi Benediktsson, Mikkel N Schmidt, Arghya Bhowmik

“…Machine Learning: Science and Technology…”
Get full text

Wilsonian renormalization of neural network Gaussian processes by Jessica N Howard, Ro Jefferson, Anindita Maiti, Zohar Ringel

“…Machine Learning: Science and Technology…”
Get full text

Aortic KD former: aortic multiclass segmentation using SegFormer via knowledge distillation by Nancy Mohamed Soliman, Medhat Awadalla, Mohamed Elhelw, Mustafa Elattar

“…Machine Learning: Science and Technology…”
Get full text

Feature learning and generalization in deep networks with orthogonal weights by Hannah Day, Yonatan Kahn, Daniel A Roberts

“…Machine Learning: Science and Technology…”
Get full text

SAGIPS: a physics-inspired scalable asynchronous generative inverse-problem solver by Daniel Lersch, Malachi Schram, Zhenyu Dai, Kishansingh Rajput, Nobuo Sato, Xingfu Wu, J Taylor Childers, Steven Goldenberg

“…Machine Learning: Science and Technology…”
Get full text

The OpenLAM Challenges: LAM Crystal Philately competition by Anyang Peng, Xinzijian Liu, Ming-Yu Guo, Linfeng Zhang, Han Wang

“…Machine Learning: Science and Technology…”
Get full text

Hyperparameter optimisation in deep learning from ensemble methods: applications to proton structure by Juan Cruz-Martinez, Aron Jansen, Gijs van Oord, Tanjona R Rabemananjara, Carlos M R Rocha, Juan Rojo, Roy Stegeman

“…Machine Learning: Science and Technology…”
Get full text

Outlook towards deployable continual learning for particle accelerators by Kishansingh Rajput, Sen Lin, Auralee Edelen, Willem Blokland, Malachi Schram

“…Machine Learning: Science and Technology…”
Get full text

Exploring spatial reasoning performances of CNN on linear layout dataset by Jelena Pejic, Marko Petkovic, Sandra Klinge

“…Machine Learning: Science and Technology…”
Get full text

Machine learning for reparameterization of multi-scale closures by Hilary Egan, Meagan Crowley, Hariswaran Sitaraman, Lila Branchaw, Peter Ciesielski

“…Machine Learning: Science and Technology…”
Get full text