Demis Hassabis - Selected Publications#

Mnih V, Kavukcuoglu K, Silver D, Rusu A. A, Veness J, Bellemare M. G, Graves A, Riedmiller M, Fidjeland A. K, Ostrovski G, Petersen S, Beattie C, Sadik A, Antonoglou I, King H, Kumaran D, Wierstra D, Legg S, & Hassabis D "Human-level control through deep reinforcement learning". Nature (2015) Cited by 24657

Silver D, Huang A, Maddison CJ, Guez A, Sifre L, van den Driessche G, Schrittwieser J, Antonoglou I, Panneershelvam V, Lanctot M, Dieleman S, Grewe D, Nham J, Kalchbrenner N, Sutskever I, Lillicrap T, Leach M, Kavukcuoglu K, Graepel T, Hassabis D. “Mastering the game of Go with deep neural networks and tree search”. Nature (2016) Cited by 16094

Silver D, Schrittwieser J, Simonyan K, Antonoglou I, Huang A, Guez A, Hubert T, Baker L, Lai M, Bolton A, Chen Y, Lillicrap T, Hui F, Sifre L, Van Den Driessche G, Graepel T, Hassabis D. “Mastering the game of go without human knowledge”. Nature (2017) Cited by 9082

Jumper J, Evans R, Pritzel A, Green T, Figurnov M, Ronneberger O, Tunyasuvunakool K, Bates R, Žídek A, Potapenko A, Bridgland A, Meyer C, Kohl SAA, Ballard AJ, Cowie A, Romera-Paredes B, Nikolov S, Jain R, Adler J, Back T, Petersen S, Reiman D, Clancy E, Zielinski M, Steinegger M, Pacholska M, Berghammer T, Bodenstein S, Silver D, Vinyals O, Senior AW, Kavukcuoglu K, Kohli P, Hassabis D. “Highly accurate protein structure prediction with AlphaFold”. Nature (2021) Cited by 12078

Kirkpatrick J, Pascanu R, Rabinowitz N, Veness J, Desjardins G, Rusu A, Milan K, Quan J, Ramalho T, Grabska-Barwinska A, Hassabis D, Clopath C, Kumaran D, Hadsell R. “Overcoming catastrophic forgetting in neural networks”. PNAS (2017) Cited by 4801

Silver D, Hubert T, J Schrittwieser J, Antonoglou I, Lai M, Guez A, Lanctot M, Sifre L, Kumaran D, Graepel T, Lillicrap T, Simonyan K, Hassabis D. “A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play” Science (2018) Cited by 3343

Vinyals O, Babuschkin I, Czarnecki W.M, Mathieu M, Dudzik A, Chung J, Choi D.H, Powell R, Ewalds T, Georgiev P, Oh J, Horgan D, Kroiss M, Danihelka I, Huang A, Sifre L, Cai T, Agapiou J.P, Jaderberg M, Vezhnevets A.S, Leblond R, Pohlen T, Dalibard V, Budden D, Sulsky Y, Molloy J, Paine T.L, Gulcehre C, Wang Z, Pfaff T, Wu Y, Ring R, Yogatama D, Wünsch D, McKinney K, Smith O, Schaul T, Lillicrap T, Kavukcuoglu K, Hassabis D, Apps C Silver D. “Grandmaster level in StarCraft II using multi-agent reinforcement learning”. Nature (2019) Cited by 3144

Senior AW, Evans R, Jumper J, Kirkpatrick J, Sifre L, Green T, Qin C, Žídek A, Nelson AWR, Bridgland A, Penedones H, Petersen S, Simonyan K, Crossan S, Kohli P, Jones DT, Silver D, Kavukcuoglu K, Hassabis D. “Improved protein structure prediction using potentials from deep learning.” Nature (2020) Cited by 2362

Varadi M, Anyango S, Deshpande M, Nair S, Natassia C, Yordanova G, Yuan D, Stroe O, Wood G, Laydon A, Žídek A, Green T, Tunyasuvunakool K, Petersen S, Jumper J, Clancy E, Green R, Vora A, Lutfi M, Figurnov M, Cowie A, Hobbs N, Kohli P, Kleywegt G, Birney E, Hassabis D, Velankar S. "Alphafold protein structure database: Massively expanding the structural coverage of protein-sequence space with high-accuracy models". Nucleic Acids Research (2021) Cited by 2065

Tunyasuvunakool K, Adler J, Wu Z, Green T, Zielinski M, Žídek A, Bridgland A, Cowie A, Meyer C, Laydon A, Velankar S, Kleywegt GJ, Bateman A, Evans R, Pritzel A, Figurnov M, Ronneberger O, Bates R, Kohl SAA, Potapenko A, Ballard AJ, Romera-Paredes B, Nikolov S, Jain R, Clancy E, Reiman D, Petersen S, Senior AW, Kavukcuoglu K, Birney E, Kohli P, Jumper J, Hassabis D. “Highly accurate protein structure prediction for the human proteome.” Nature (2021) Cited by 1346