Seuraa
Francesco Pinto
Francesco Pinto
DPhil Student, University of Oxford
Vahvistettu sähköpostiosoite verkkotunnuksessa eng.ox.ac.uk
Nimike
Viittaukset
Viittaukset
Vuosi
RegMixup: Mixup as a Regularizer Can Surprisingly Improve Accuracy and Out Distribution Robustness
F Pinto, H Yang, SN Lim, PHS Torr, PK Dokania
NeurIPS 2022, 2022
53*2022
An Impartial Take to the CNN vs Transformer Robustness Contest
F Pinto, PHS Torr, PK Dokania
ECCV 2022, 2022
41*2022
Towards automated satellite conjunction management with Bayesian deep learning
F Pinto, G Acciarini, S Metz, S Boufelja, S Kaczmarek, K Merz, ...
AI4EarthScience Workshop at NeurIPS 2020, 2020
192020
Spacecraft collision risk assessment with probabilistic programming
G Acciarini, F Pinto, S Metz, S Boufelja, S Kaczmarek, K Merz, ...
ML4PhysicalSciences Workshop at NeurIPS 2020, 2020
162020
Kessler: A machine learning library for spacecraft collision avoidance
G Acciarini, F Pinto, F Letizia, JA Martinez-Heras, K Merz, C Bridges, ...
8th European Conference on Space Debris, 1-9, 2021
152021
Not Just Pretty Pictures: Text-to-Image Generators Enable Interpretable Interventions for Robust Representations
J Yuan*, F Pinto*, A Davies, A Gupta, P Torr
arXiv preprint arXiv:2212.11237, 2022
142022
Sample-dependent Adaptive Temperature Scaling for Improved Calibration
T Joy, F Pinto, SN Lim, PHS Torr, PK Dokania
ICML 2022 Workshop on Distribution-Free Uncertainty Quantification (DFUQ), 2022
122022
PILLAR: How to make semi-private learning more effective
F Pinto, Y Hu, F Yang, A Sanyal
SatML 2024, 2023
42023
SECI-GAN: Semantic and Edge Completion for dynamic objects removal
F Pinto, A Romanoni, M Matteucci, PHS Torr
2020 25th International Conference on Pattern Recognition (ICPR), 10441-10448, 2021
42021
Certified Calibration: Bounding Worst-Case Calibration under Adversarial Attacks
C Emde, F Pinto, T Lukasiewicz, P Torr, A Bibi
The Second Workshop on New Frontiers in Adversarial Machine Learning, 2023
22023
As Firm As Their Foundations: Can open-sourced foundation models be used to create adversarial examples for downstream tasks?
A Hu, J Gu, F Pinto, K Kamnitsas, P Torr
arXiv preprint arXiv:2403.12693, 2024
2024
Not Just Pretty Pictures: Toward Interventional Data Augmentation Using Text-to-Image Generators
J Yuan, F Pinto, A Davies, P Torr
arXiv preprint arXiv:2212.11237, 2022
2022
Semi-private learning via low dimensional structures
Y Hu, F Pinto, A Sanyal, F Yang
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Artikkelit 1–13