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Pushmeet Kohli
Pushmeet Kohli
DeepMind
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Zitiert von
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Highly accurate protein structure prediction with AlphaFold
J Jumper, R Evans, A Pritzel, T Green, M Figurnov, O Ronneberger, ...
nature 596 (7873), 583-589, 2021
297772021
Indoor segmentation and support inference from rgbd images
N Silberman, D Hoiem, P Kohli, R Fergus
Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012
67302012
AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models
M Varadi, S Anyango, M Deshpande, S Nair, C Natassia, G Yordanova, ...
Nucleic acids research 50 (D1), D439-D444, 2022
57722022
Kinectfusion: Real-time dense surface mapping and tracking
RA Newcombe, S Izadi, O Hilliges, D Molyneaux, D Kim, AJ Davison, ...
2011 10th IEEE international symposium on mixed and augmented reality, 127-136, 2011
54022011
Relational inductive biases, deep learning, and graph networks
PW Battaglia, JB Hamrick, V Bapst, A Sanchez-Gonzalez, V Zambaldi, ...
arXiv preprint arXiv:1806.01261, 2018
39412018
Improved protein structure prediction using potentials from deep learning
AW Senior, R Evans, J Jumper, J Kirkpatrick, L Sifre, T Green, C Qin, ...
Nature 577 (7792), 706-710, 2020
34232020
Kinectfusion: real-time 3d reconstruction and interaction using a moving depth camera
S Izadi, D Kim, O Hilliges, D Molyneaux, R Newcombe, P Kohli, J Shotton, ...
Proceedings of the 24th annual ACM symposium on User interface software and …, 2011
31122011
Highly accurate protein structure prediction for the human proteome
K Tunyasuvunakool, J Adler, Z Wu, T Green, M Zielinski, A Žídek, ...
Nature 596 (7873), 590-596, 2021
24082021
Protein complex prediction with AlphaFold-Multimer
R Evans, M O’Neill, A Pritzel, N Antropova, A Senior, T Green, A Žídek, ...
biorxiv, 2021.10. 04.463034, 2021
23632021
Accurate structure prediction of biomolecular interactions with AlphaFold 3
J Abramson, J Adler, J Dunger, R Evans, T Green, A Pritzel, ...
Nature, 1-3, 2024
16512024
Robust higher order potentials for enforcing label consistency
P Kohli, L Ladický, PHS Torr
International journal of computer vision 82, 302-324, 2009
12052009
Deep convolutional inverse graphics network
TD Kulkarni, WF Whitney, P Kohli, J Tenenbaum
Advances in neural information processing systems 28, 2015
11352015
Competition-level code generation with alphacode
Y Li, D Choi, J Chung, N Kushman, J Schrittwieser, R Leblond, T Eccles, ...
Science 378 (6624), 1092-1097, 2022
10162022
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
8732022
The neuro-symbolic concept learner: Interpreting scenes, words, and sentences from natural supervision
J Mao, C Gan, P Kohli, JB Tenenbaum, J Wu
arXiv preprint arXiv:1904.12584, 2019
8362019
Associative hierarchical crfs for object class image segmentation
L Ladický, C Russell, P Kohli, PHS Torr
2009 IEEE 12th international conference on computer vision, 739-746, 2009
8322009
Holoportation: Virtual 3d teleportation in real-time
S Orts-Escolano, C Rhemann, S Fanello, W Chang, A Kowdle, ...
Proceedings of the 29th annual symposium on user interface software and …, 2016
8092016
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
7802017
A corpus and cloze evaluation for deeper understanding of commonsense stories
N Mostafazadeh, N Chambers, X He, D Parikh, D Batra, L Vanderwende, ...
Proceedings of the 2016 Conference of the North American Chapter of the …, 2016
7802016
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
7582023
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