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1 . Report
A machine-learning pipeline for real-time detection of gravitational waves from compact binary coalescences
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by
Marx, Ethan
;
Benoit, William
;
Gunny, Alec
;
Omer, Rafia
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Chatterjee, Deep
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7 . Report
Ultra Fast Transformers on FPGAs for Particle Physics Experiments
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Jiang, Zhixing
;
Yin, Dennis
;
Khoda, Elham E
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Loncar, Vladimir
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Machine Learning and the Physical Sciences Workshop, NeurIPS 2023
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7 . Report
Knowledge Distillation for Anomaly Detection
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by
Pol, Adrian Alan
;
Govorkova, Ekaterina
;
Gronroos, Sonja
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Chernyavskaya, Nadezda
;
Harris, Philip
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7 . Report
GWAK: Gravitational-Wave Anomalous Knowledge with Recurrent Autoencoders
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by
Raikman, Ryan
;
Moreno, Eric A.
;
Govorkova, Ekaterina
;
Marx, Ethan J
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Gunny, Alec
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7 . Report
Applications of Deep Learning to physics workflows
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Agarwal, Manan
;
Alameda, Jay
;
Audenaert, Jeroen
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Benoit, Will
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Beveridge, Damon
, et al.
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7 . Report
Symbolic Regression on FPGAs for Fast Machine Learning Inference
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by
Tsoi, Ho Fung
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Pol, Adrian Alan
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Loncar, Vladimir
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Govorkova, Ekaterina
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Cranmer, Miles
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EPJ Web of Conferences 295, 09036 (2024)
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7 . Report
Lightweight Jet Reconstruction and Identification as an Object Detection Task
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Pol, Adrian Alan
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Aarrestad, Thea
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Govorkova, Ekaterina
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Halily, Roi
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Klempner, Anat
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7 . Report
Applications and Techniques for Fast Machine Learning in Science
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by
Deiana, Allison McCarn
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Tran, Nhan
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Agar, Joshua
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Blott, Michaela
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Di Guglielmo, Giuseppe
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Front. Big Data 5, 787421 (2022)
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7 . Report
Autoencoders on FPGAs for real-time, unsupervised new physics detection at 40 MHz at the Large Hadron Collider
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Govorkova, Ekaterina
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Puljak, Ema
;
Aarrestad, Thea
;
James, Thomas
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Loncar, Vladimir
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Nature Machine Intelligence 4, 154 (2022)
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7 . Report
LHC physics dataset for unsupervised New Physics detection at 40 MHz
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Govorkova, Ekaterina
;
Puljak, Ema
;
Aarrestad, Thea
;
Pierini, Maurizio
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Woźniak, Kinga Anna
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