| 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 | 30787 | 2021 |
| 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 | 6816 | 2012 |
| 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 | 5956 | 2022 |
| 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 | 5434 | 2011 |
| 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 | 4000 | 2018 |
| 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 | 3484 | 2020 |
| 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 | 3126 | 2011 |
| 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 | 2472 | 2021 |
| 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 | 2449 | 2021 |
| 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 | 2104 | 2024 |
| Robust higher order potentials for enforcing label consistency P Kohli, L Ladický, PHS Torr International journal of computer vision 82, 302-324, 2009 | 1207 | 2009 |
| Deep convolutional inverse graphics network TD Kulkarni, WF Whitney, P Kohli, J Tenenbaum Advances in neural information processing systems 28, 2015 | 1141 | 2015 |
| 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 | 1064 | 2022 |
| 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 | 902 | 2022 |
| 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 | 854 | 2019 |
| 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 | 835 | 2023 |
| 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 | 832 | 2009 |
| 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 | 817 | 2016 |
| Effective gene expression prediction from sequence by integrating long-range interactions Ž Avsec, V Agarwal, D Visentin, JR Ledsam, A Grabska-Barwinska, ... Nature methods 18 (10), 1196-1203, 2021 | 792 | 2021 |
| 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 | 791 | 2016 |
Jamie ShottonWayveE-mailová adresa ověřena na: wayve.ai
