Rudy Bunel
Rudy Bunel
Deepmind
Verified email at google.com
Title
Cited by
Cited by
Year
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
185*2019
A unified view of piecewise linear neural network verification
R Bunel, I Turkaslan, PHS Torr, P Kohli, MP Kumar
NeurIPS, 2018
166*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
902018
Neural program meta-induction
J Devlin, R Bunel, R Singh, M Hausknecht, P Kohli
NeurIPS, 2017
522017
Adaptive neural compilation
R Bunel, A Desmaison, P Kohli, PHS Torr, MP Kumar
NeurIPS, 2016
422016
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
282016
Branch and bound for piecewise linear neural network verification
R Bunel, P Mudigonda, I Turkaslan, P Torr, J Lu, P Kohli
Journal of Machine Learning Research 21 (2020), 2020
262020
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
222019
Learning to superoptimize programs
R Bunel, A Desmaison, MP Kumar, PHS Torr, P Kohli
International Conference on Learning Representations (ICLR), 2017
202017
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
17*2017
Contrastive training for improved out-of-distribution detection
J Winkens, R Bunel, AG Roy, R Stanforth, V Natarajan, JR Ledsam, ...
arXiv preprint arXiv:2007.05566, 2020
162020
Detection of pedestrians at far distance
R Bunel, F Davoine, P Xu
2016 IEEE International Conference on Robotics and Automation (ICRA), 2326-2331, 2016
142016
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
92019
Lagrangian decomposition for neural network verification
MPK Rudy Bunel, Alessandro De Palma, Alban Desmaison, Krishnamurthy ...
Conference on Uncertainty in Artificial Intelligence, 2020
8*2020
Efficient relaxations for dense crfs with sparse higher-order potentials
T Joy, A Desmaison, T Ajanthan, R Bunel, M Salzmann, P Kohli, PHS Torr, ...
SIAM Journal on Imaging Sciences 12 (1), 287-318, 2019
62019
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
52020
An efficient nonconvex reformulation of stagewise convex optimization problems
R Bunel, O Hinder, S Bhojanapalli, K Dvijotham
NeurIPS, 2020
32020
Verifying probabilistic specifications with functional lagrangians
L Berrada, S Dathathri, R Stanforth, R Bunel, J Uesato, S Gowal, ...
arXiv preprint arXiv:2102.09479, 2021
12021
Scaling the Convex Barrier With Active Sets
A De Palma, HS Behl, R Bunel, PHS Torr, MP Kumar
ICLR, 2021
12021
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
2021
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Articles 1–20