Articles with public access mandates - Pushmeet KohliLearn more
Not available anywhere: 2
Dynamic SFM: detecting scene changes from image pairs
TY Wang, P Kohli, NJ Mitra
Computer Graphics Forum 34 (5), 177-189, 2015
Mandates: European Commission
Opening the black box: Hierarchical sampling optimization for hand pose estimation
D Tang, Q Ye, S Yuan, J Taylor, P Kohli, C Keskin, TK Kim, J Shotton
IEEE transactions on pattern analysis and machine intelligence 41 (9), 2161-2175, 2018
Mandates: UK Engineering and Physical Sciences Research Council
Available somewhere: 38
Magnetic control of tokamak plasmas through deep reinforcement learning
J Degrave, F Felici, J Buchli, M Neunert, B Tracey, F Carpanese, T Ewalds, ...
Nature 602 (7897), 414-419, 2022
Mandates: Swiss National Science Foundation
Scientific discovery in the age of artificial intelligence
H Wang, T Fu, Y Du, W Gao, K Huang, Z Liu, P Chandak, S Liu, ...
Nature 620 (7972), 47-60, 2023
Mandates: US Department of Defense, US National Institutes of Health
Stabilising experience replay for deep multi-agent reinforcement learning
J Foerster, N Nardelli, G Farquhar, T Afouras, PHS Torr, P Kohli, ...
International conference on machine learning, 1146-1155, 2017
Mandates: UK Engineering and Physical Sciences Research Council, European Commission
Neural-symbolic vqa: Disentangling reasoning from vision and language understanding
K Yi, J Wu, C Gan, A Torralba, P Kohli, J Tenenbaum
Advances in neural information processing systems 31, 2018
Mandates: US Department of Defense
A unified view of piecewise linear neural network verification
RR Bunel, I Turkaslan, P Torr, P Kohli, PK Mudigonda
Advances in Neural Information Processing Systems 31, 2018
Mandates: UK Engineering and Physical Sciences Research Council, European Commission
Programmatically interpretable reinforcement learning
A Verma, V Murali, R Singh, P Kohli, S Chaudhuri
International Conference on Machine Learning, 5045-5054, 2018
Mandates: US National Science Foundation, US Department of Defense
Learning disentangled representations with semi-supervised deep generative models
B Paige, JW Van De Meent, A Desmaison, N Goodman, P Kohli, F Wood, ...
Advances in neural information processing systems 30, 2017
Mandates: US Department of Defense, UK Engineering and Physical Sciences Research …
Zero-shot task generalization with multi-task deep reinforcement learning
J Oh, S Singh, H Lee, P Kohli
International Conference on Machine Learning, 2661-2670, 2017
Mandates: US National Science Foundation
Raster-to-vector: Revisiting floorplan transformation
C Liu, J Wu, P Kohli, Y Furukawa
Proceedings of the IEEE International Conference on Computer Vision, 2195-2203, 2017
Mandates: US National Science Foundation
Surface stereo with soft segmentation
M Bleyer, C Rother, P Kohli
2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010
Mandates: Austrian Science Fund
Batched large-scale Bayesian optimization in high-dimensional spaces
Z Wang, C Gehring, P Kohli, S Jegelka
International Conference on Artificial Intelligence and Statistics, 745-754, 2018
Mandates: US National Science Foundation, US Department of Defense
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
Mandates: UK Engineering and Physical Sciences Research Council, European Commission
Learning to see physics via visual de-animation
J Wu, E Lu, P Kohli, B Freeman, J Tenenbaum
Advances in neural information processing systems 30, 2017
Mandates: US National Science Foundation, US Department of Defense
Neural scene de-rendering
J Wu, JB Tenenbaum, P Kohli
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
Mandates: US National Science Foundation, US Department of Defense
Batched high-dimensional Bayesian optimization via structural kernel learning
Z Wang, C Li, S Jegelka, P Kohli
International conference on machine learning, 3656-3664, 2017
Mandates: US National Science Foundation, US Department of Defense
Efficient non-greedy optimization of decision trees
M Norouzi, M Collins, MA Johnson, DJ Fleet, P Kohli
Advances in neural information processing systems 28, 2015
Mandates: Natural Sciences and Engineering Research Council of Canada
Associative hierarchical random fields
Ľ Ladický, C Russell, P Kohli, PHS Torr
IEEE Transactions on Pattern Analysis and Machine Intelligence 36 (6), 1056-1077, 2013
Mandates: US National Institutes of Health, UK Engineering and Physical Sciences …
Enabling certification of verification-agnostic networks via memory-efficient semidefinite programming
S Dathathri, K Dvijotham, A Kurakin, A Raghunathan, J Uesato, RR Bunel, ...
Advances in Neural Information Processing Systems 33, 5318-5331, 2020
Mandates: US National Science Foundation
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