Rudy Bunel
Rudy Bunel
Google Deepmind
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Scalable verified training for provably robust image classification
S Gowal, KD Dvijotham, R Stanforth, R Bunel, C Qin, J Uesato, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
A unified view of piecewise linear neural network verification
R Bunel, I Turkaslan, PHS Torr, P Kohli, MP Kumar
NeurIPS, 2018
Leveraging grammar and reinforcement learning for neural program synthesis
R Bunel, M Hausknecht, J Devlin, R Singh, P Kohli
International Conference on Learning Representations (ICLR), 2018
Contrastive Training for Improved Out-of-Distribution Detection
AG Roy, A Karthikesalingam, J Winkens, J Ledsam, O Ronneberger, ...
Branch and bound for piecewise linear neural network verification
R Bunel, J Lu, I Turkaslan, PHS Torr, P Kohli, MP Kumar
Journal of Machine Learning Research 21 (42), 1-39, 2020
Enabling certification of verification-agnostic networks via memory-efficient semidefinite programming
S Dathathri, K Dvijotham, A Kurakin, A Raghunathan, J Uesato, R Bunel, ...
NeurIPS, 2020
Neural program meta-induction
J Devlin, R Bunel, R Singh, M Hausknecht, P Kohli
NeurIPS, 2017
Lagrangian decomposition for neural network verification
MPK Rudy Bunel, Alessandro De Palma, Alban Desmaison, Krishnamurthy ...
Conference on Uncertainty in Artificial Intelligence, 2020
Adaptive neural compilation
R Bunel, A Desmaison, P Kohli, PHS Torr, MP Kumar
NeurIPS, 2016
Scaling the Convex Barrier With Active Sets
A De Palma, HS Behl, R Bunel, PHS Torr, MP Kumar
ICLR, 2021
Improved branch and bound for neural network verification via lagrangian decomposition
A De Palma, R Bunel, A Desmaison, K Dvijotham, P Kohli, PHS Torr, ...
arXiv preprint arXiv:2104.06718, 2021
Verification of non-linear specifications for neural networks
C Qin, B O'Donoghue, R Bunel, R Stanforth, S Gowal, J Uesato, ...
International Conference on Learning Representation (ICLR), 2019
Learning to superoptimize programs
R Bunel, A Desmaison, MP Kumar, PHS Torr, P Kohli
International Conference on Learning Representations (ICLR), 2017
Efficient continuous relaxations for dense CRF
A Desmaison, R Bunel, P Kohli, PHS Torr, MP Kumar
European Conference on Computer Vision (ECCV), 818-833, 2016
Efficient linear programming for dense crfs
A Thalaiyasingam, A Desmaison, R Bunel, M Salzmann, PHS Torr, ...
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
Make sure you're unsure: A framework for verifying probabilistic specifications
L Berrada, S Dathathri, K Dvijotham, R Stanforth, RR Bunel, J Uesato, ...
Advances in Neural Information Processing Systems 34, 11136-11147, 2021
An efficient nonconvex reformulation of stagewise convex optimization problems
R Bunel, O Hinder, S Bhojanapalli, K Dvijotham
NeurIPS, 2020
IBP regularization for verified adversarial robustness via branch-and-bound
A De Palma, R Bunel, K Dvijotham, MP Kumar, R Stanforth
arXiv preprint arXiv:2206.14772, 2022
Detection of pedestrians at far distance
R Bunel, F Davoine, P Xu
2016 IEEE International Conference on Robotics and Automation (ICRA), 2326-2331, 2016
Knowing when to stop: Evaluation and verification of conformity to output-size specifications
C Wang, R Bunel, K Dvijotham, PS Huang, E Grefenstette, P Kohli
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
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