Luke de Oliveira
Title
Cited by
Cited by
Year
Jet-images—deep learning edition
L de Oliveira, M Kagan, L Mackey, B Nachman, A Schwartzman
Journal of High Energy Physics 2016 (7), 69, 2016
2232016
CaloGAN: Simulating 3D high energy particle showers in multilayer electromagnetic calorimeters with generative adversarial networks
M Paganini, L de Oliveira, B Nachman
Physical Review D 97 (1), 014021, 2018
1402018
Learning particle physics by example: location-aware generative adversarial networks for physics synthesis
L de Oliveira, M Paganini, B Nachman
Computing and Software for Big Science 1 (1), 4, 2017
1332017
Accelerating science with generative adversarial networks: an application to 3D particle showers in multilayer calorimeters
M Paganini, L de Oliveira, B Nachman
Physical review letters 120 (4), 042003, 2018
1002018
Image Processing, Computer Vision, and Deep Learning: new approaches to the analysis and physics interpretation of LHC events
A Schwartzman, M Kagan, L Mackey, B Nachman, L De Oliveira
Journal of Physics: Conference Series 762 (1), 012035, 2016
212016
Controlling physical attributes in gan-accelerated simulation of electromagnetic calorimeters
L de Oliveira, M Paganini, B Nachman
Journal of Physics: Conference Series 1085 (4), 042017, 2018
172018
Electromagnetic showers beyond shower shapes
L De Oliveira, B Nachman, M Paganini
Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2020
122020
Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Physics Synthesis, Comput. Softw. Big Sci. 1 (2017), no. 1 4
L de Oliveira, M Paganini, B Nachman
arXiv preprint arXiv:1701.05927, 0
6
Humor detection in Yelp reviews
L De Oliveira, AL Rodrigo
Retrieved on December 15, 2019, 2015
52015
CodeDroid: a framework to develop context-aware applications
L de Oliveira, A Loureiro
The Fourth International Conferences on Advances in Human-oriented and …, 2011
52011
Survey of machine learning techniques for high energy electromagnetic shower classification
M Paganini, L de Oliveira, B Nachman
Proceedings of the Deep Learning for Physical Sciences Workshop at the 31st …, 2017
42017
Boosted jet tagging with jet-images and deep neural networks
M Kagan, L de Oliveira, L Mackey, B Nachman, A Schwartzman
EPJ Web of Conferences 127, 00009, 2016
42016
HEP Software Foundation Community White Paper Working Group-Detector Simulation
HEP Foundation, J Apostolakis, M Asai, S Banerjee, R Bianchi, P Canal, ...
arXiv preprint arXiv:1803.04165, 2018
3*2018
Tips and tricks for training gans with physics constraints
MP Luke de Oliveira, B Nachman
Workshop at the 31st Conference on Neural Information Processing Systems …, 2017
22017
Repurposing Decoder-Transformer Language Models for Abstractive Summarization
L de Oliveira, AL Rodrigo
arXiv preprint arXiv:1909.00325, 2019
12019
Emergent Properties of Finetuned Language Representation Models
A Matton, L de Oliveira
arXiv preprint arXiv:1910.10832, 2019
2019
Learning Particle Physics by Example
L de Oliveira, M Paganini, B Nachman
arXiv preprint arXiv:1701.05927, 2017
2017
Introduction to Generative Adversarial Networks
L de Oliveira
Distributed Bayesian Personalized Ranking in Spark
AL Rodrigo, L de Oliveira
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Articles 1–19