K. Pedro
Fermi National Accelerator Laboratory(US)
Publications by Year
Research Areas
Particle physics theoretical and experimental studies, High-Energy Particle Collisions Research, Quantum Chromodynamics and Particle Interactions, Particle Detector Development and Performance, Dark Matter and Cosmic Phenomena
Most-Cited Works
- → Graph Neural Networks for Particle Reconstruction in High Energy Physics detectors(2020)83 cited
- Compressing deep neural networks on FPGAs to binary and ternary precision with HLS4ML(2020)
- → FPGA-Accelerated Machine Learning Inference as a Service for Particle Physics Computing(2019)60 cited
- → Autoencoders for semivisible jet detection(2022)48 cited
- → Theory, phenomenology, and experimental avenues for dark showers(2022)43 cited
- → Denoising diffusion models with geometry adaptation for high fidelity calorimeter simulation(2023)34 cited
- → New directions for surrogate models and differentiable programming for High Energy Physics detector simulation(2022)23 cited
- → DeepAdversaries: examining the robustness of deep learning models for galaxy morphology classification(2022)20 cited
- → DeepAstroUDA: semi-supervised universal domain adaptation for cross-survey galaxy morphology classification and anomaly detection(2023)16 cited
- → Detector Simulation Challenges for Future Accelerator Experiments(2022)15 cited