Sofia Vallecorsa
Orcid: 0000-0002-7003-5765
According to our database1,
Sofia Vallecorsa
authored at least 52 papers
between 2015 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
CoRR, 2024
2023
Quantum Mach. Intell., December, 2023
Unravelling physics beyond the standard model with classical and quantum anomaly detection.
Mach. Learn. Sci. Technol., December, 2023
CoRR, 2023
Assessment of few-hits machine learning classification algorithms for low energy physics in liquid argon detectors.
CoRR, 2023
CoRR, 2023
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023
Quantum Generative Adversarial Networks For Anomaly Detection In High Energy Physics.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023
2022
A study of the performance of classical minimizers in the Quantum Approximate Optimization Algorithm.
J. Comput. Appl. Math., 2022
Comput. Softw. Big Sci., 2022
The Quantum Path Kernel: a Generalized Quantum Neural Tangent Kernel for Deep Quantum Machine Learning.
CoRR, 2022
Conditional Progressive Generative Adversarial Network for satellite image generation.
CoRR, 2022
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
Proceedings of the 7th IEEE/ACM Symposium on Edge Computing, 2022
Proceedings of the Pattern Recognition Applications and Methods, 2022
2021
Correction to: A report on teaching a series of online lectures on quantum computing from CERN.
J. Supercomput., 2021
J. Supercomput., 2021
On protocols for increasing the uniformity of random bits generated with noisy quantum computers.
J. Supercomput., 2021
Quantum Mach. Intell., 2021
Physics Validation of Novel Convolutional 2D Architectures for Speeding Up High Energy Physics Simulations.
CoRR, 2021
Pandemic Drugs at Pandemic Speed: Accelerating COVID-19 Drug Discovery with Hybrid Machine Learning- and Physics-based Simulations on High Performance Computers.
CoRR, 2021
Quantum Generative Adversarial Networks in a Continuous-Variable Architecture to Simulate High Energy Physics Detectors.
CoRR, 2021
High Energy Physics Calorimeter Detector Simulation Using Generative Adversarial Networks With Domain Related Constraints.
IEEE Access, 2021
Reduced Precision Strategies for Deep Learning: A High Energy Physics Generative Adversarial Network Use Case.
Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods, 2021
Validation of Deep Convolutional Generative Adversarial Networks for High Energy Physics Calorimeter Simulations.
Proceedings of the AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 22nd - to, 2021
2020
Deploying Scientific AI Networks at Petaflop Scale on Secure Large Scale HPC Production Systems with Containers.
CoRR, 2020
Deploying Scientific Al Networks at Petaflop Scale on Secure Large Scale HPC Production Systems with Containers.
Proceedings of the PASC '20: Platform for Advanced Scientific Computing Conference, Geneva, Switzerland, June 29, 2020
Evaluating Mixed-Precision Arithmetic for 3D Generative Adversarial Networks to Simulate High Energy Physics Detectors.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020
2019
Calorimetry with Deep Learning: Particle Simulation and Reconstruction for Collider Physics.
CoRR, 2019
Acceleration of Scientific Deep Learning Models on Heterogeneous Computing Platform with Intel<sup>®</sup> FPGAs.
Proceedings of the High Performance Computing, 2019
Evaluating POWER Architecture for Distributed Training of Generative Adversarial Networks.
Proceedings of the High Performance Computing, 2019
Particle Detector Simulation using Generative Adversarial Networks with Domain Related Constraints.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019
Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019
2018
Distributed Training of Generative Adversarial Networks for Fast Detector Simulation.
Proceedings of the High Performance Computing, 2018
Three Dimensional Energy Parametrized Generative Adversarial Networks for Electromagnetic Shower Simulation.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018
Data-Parallel Training of Generative Adversarial Networks on HPC Systems for HEP Simulations.
Proceedings of the 25th IEEE International Conference on High Performance Computing, 2018
2015
The IceProd framework: Distributed data processing for the IceCube neutrino observatory.
J. Parallel Distributed Comput., 2015