Sofia Vallecorsa

Orcid: 0000-0002-7003-5765

According to our database1, Sofia Vallecorsa authored at least 52 papers between 2015 and 2024.

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Bibliography

2024
Guided Quantum Compression for Higgs Identification.
CoRR, 2024

Symmetry breaking in geometric quantum machine learning in the presence of noise.
CoRR, 2024

2023
Resource saving via ensemble techniques for quantum neural networks.
Quantum Mach. Intell., December, 2023

Unravelling physics beyond the standard model with classical and quantum anomaly detection.
Mach. Learn. Sci. Technol., December, 2023

Hybrid Ground-State Quantum Algorithms based on Neural Schrödinger Forging.
CoRR, 2023

Assessment of few-hits machine learning classification algorithms for low energy physics in liquid argon detectors.
CoRR, 2023

Trainability barriers and opportunities in quantum generative modeling.
CoRR, 2023

Quantum anomaly detection in the latent space of proton collision events at the LHC.
CoRR, 2023

Classification with Integrated Quantum and Spiking Neural Networks.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Approximately Equivariant Quantum Neural Network for p4m Group Symmetries in Images.
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
Quantum neural networks force fields generation.
Mach. Learn. Sci. Technol., 2022

A study of the performance of classical minimizers in the Quantum Approximate Optimization Algorithm.
J. Comput. Appl. Math., 2022

Deep Learning Strategies for ProtoDUNE Raw Data Denoising.
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

Running the Dual-PQC GAN on noisy simulators and real quantum hardware.
CoRR, 2022

Conditional Born machine for Monte Carlo events generation.
CoRR, 2022

Dual-Tasks Siamese Transformer Framework for Building Damage Assessment.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Quantum Convolutional Circuits for Earth Observation Image Classification.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Quantum Angle Generator for Image Generation.
Proceedings of the 7th IEEE/ACM Symposium on Edge Computing, 2022

Reduced Precision Research of a GAN Image Generation Use-case.
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

A report on teaching a series of online lectures on quantum computing from CERN.
J. Supercomput., 2021

On protocols for increasing the uniformity of random bits generated with noisy quantum computers.
J. Supercomput., 2021

Hybrid quantum classical graph neural networks for particle track reconstruction.
Quantum Mach. Intell., 2021

On a poset of quantum exact promise problems.
Quantum Inf. Process., 2021

Quantum machine learning in high energy physics.
Mach. Learn. Sci. Technol., 2021

GeantV.
Comput. Softw. Big Sci., 2021

Accelerating GAN training using highly parallel hardware on public cloud.
CoRR, 2021

Convolutional LSTM models to estimate network traffic.
CoRR, 2021

Physics Validation of Novel Convolutional 2D Architectures for Speeding Up High Energy Physics Simulations.
CoRR, 2021

Higgs analysis with quantum classifiers.
CoRR, 2021

Dual-Parameterized Quantum Circuit GAN Model in High Energy Physics.
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

Deploying AI Frameworks on Secure HPC Systems with Containers.
Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019

2018
Machine Learning in High Energy Physics Community White Paper.
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CoRR, 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.
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J. Parallel Distributed Comput., 2015


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