Luke de Oliveira
Publications by Year
Research Areas
Particle physics theoretical and experimental studies, Topic Modeling, Natural Language Processing Techniques, High-Energy Particle Collisions Research, Generative Adversarial Networks and Image Synthesis
Most-Cited Works
- → CaloGAN: Simulating 3D high energy particle showers in multilayer electromagnetic calorimeters with generative adversarial networks(2018)380 cited
- → Jet-images — deep learning edition(2022)302 cited
- → Accelerating Science with Generative Adversarial Networks: An Application to 3D Particle Showers in Multilayer Calorimeters(2018)283 cited
- → Controlling Physical Attributes in GAN-Accelerated Simulation of Electromagnetic Calorimeters(2018)64 cited
- → Electromagnetic showers beyond shower shapes(2019)33 cited
- → Boosted Jet Tagging with Jet-Images and Deep Neural Networks(2016)8 cited
- → Repurposing Decoder-Transformer Language Models for Abstractive Summarization(2019)3 cited
- → Generative Models for Fast Simulation(2022)1 cited
- → Emergent Properties of Finetuned Language Representation Models(2019)1 cited