Deep learning for inferring cause of data anomalies. - V. Azzolini; Maxim Borisyak; Gianluca Cerminara; Denis Derkach; Giovanni Franzoni; F. De Guio; O. Koval; Maurizio Pierini; Adrian Alan Pol; Fedor Ratnikov; Filip Siroky; Andrey Ustyuzhanin; et al. (CoRR, 2017)

Anomaly Detection with Conditional Variational Autoencoders. - Adrian Alan Pol; Victor Berger; Cécile Germain; Gianluca Cerminara; Maurizio Pierini (ICMLA, 2019)

Detector Monitoring with Artificial Neural Networks at the CMS Experiment at the CERN Large Hadron Collider. - Adrian Alan Pol; Gianluca Cerminara; Cécile Germain; Maurizio Pierini; Agrima Seth (Comput. Softw. Big Sci., 2019)

Machine Learning Anomaly Detection Applications to Compact Muon Solenoid Data Quality Monitoring. (Apprentissage pour la détection d'anomalies, avec application au contrôle de qualité d'acquisition de données de l'expérience Compact Muon Solenoid). - Adrian Alan Pol (2020)

hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices. - Farah Fahim; Benjamin Hawks; Christian Herwig; James Hirschauer; Sergo Jindariani; Nhan Tran; Luca P. Carloni; Giuseppe Di Guglielmo; Philip C. Harris; Jeffrey D. Krupa; Dylan S. Rankin; Manuel Blanco Valentin; et al. (CoRR, 2021)

Automatic heterogeneous quantization of deep neural networks for low-latency inference on the edge for particle detectors. - Claudionor José Nunes Coelho Jr.; Aki Kuusela; Shan Li; Hao Zhuang 003; Jennifer Ngadiuba; Thea Klaeboe Aarrestad; Vladimir Loncar; Maurizio Pierini; Adrian Alan Pol; Sioni Summers (Nat. Mach. Intell., 2021)

Lightweight jet reconstruction and identification as an object detection task. - Adrian Alan Pol; Thea Aarrestad; Ekaterina Govorkova; Roi Halily; Anat Klempner; Tal Kopetz; Vladimir Loncar; Jennifer Ngadiuba; Maurizio Pierini; Olya Sirkin; Sioni Summers (Mach. Learn. Sci. Technol., 2022)

Autoencoders on field-programmable gate arrays for real-time, unsupervised new physics detection at 40 MHz at the Large Hadron Collider. - Ekaterina Govorkova; Ema Puljak; Thea Aarrestad; Thomas James; Vladimir Loncar; Maurizio Pierini; Adrian Alan Pol; Nicolò Ghielmetti; Maksymilian Graczyk; Sioni Summers; Jennifer Ngadiuba; Thong Q. Nguyen; et al. (Nat. Mach. Intell., 2022)

Author Correction: Autoencoders on field-programmable gate arrays for real-time, unsupervised new physics detection at 40 MHz at the Large Hadron Collider. - Ekaterina Govorkova; Ema Puljak; Thea Aarrestad; Thomas James; Vladimir Loncar; Maurizio Pierini; Adrian Alan Pol; Nicolò Ghielmetti; Maksymilian Graczyk; Sioni Summers; Jennifer Ngadiuba; Thong Q. Nguyen; et al. (Nat. Mach. Intell., 2022)

Knowledge Distillation for Anomaly Detection. - Adrian Alan Pol; Ekaterina Govorkova; Sonja Grönroos; Nadezda Chernyavskaya; Philip C. Harris; Maurizio Pierini; Isobel Ojalvo; Peter Elmer (ESANN, 2023)

FIT: A Metric for Model Sensitivity. - Ben Zandonati; Adrian Alan Pol; Maurizio Pierini; Olya Sirkin; Tal Kopetz (ICLR, 2023)

Towards Optimal Compression: Joint Pruning and Quantization. - Ben Zandonati; Glenn Bucagu; Adrian Alan Pol; Maurizio Pierini; Olya Sirkin; Tal Kopetz (CoRR, 2023)

Symbolic Regression on FPGAs for Fast Machine Learning Inference. - Ho Fung Tsoi; Adrian Alan Pol; Vladimir Loncar; Ekaterina Govorkova; Miles D. Cranmer; Sridhara Dasu; Peter Elmer; Philip C. Harris; Isobel Ojalvo; Maurizio Pierini (CoRR, 2023)

Measuring the Groundedness of Legal Question-Answering Systems. - Dietrich Trautmann; Natalia Ostapuk; Quentin Grail; Adrian Alan Pol; Guglielmo Bonifazi; Shang Gao; Martin Gajek (CoRR, 2024)