Demis Hassabis
#110,114
Most Influential Person Now
CEO and co-founder of DeepMind
Why Is Demis Hassabis Influential?
(Suggest an Edit or Addition)According to Wikipedia, Demis Hassabis is a British computer scientist, artificial intelligence researcher and entrepreneur. In his early career he was a video game AI programmer and designer, and an expert board games player. He is the chief executive officer and co-founder of DeepMind and Isomorphic Labs, and a UK Government AI Advisor.
Demis Hassabis's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Human-level control through deep reinforcement learning (2015) (19924)
- Mastering the game of Go with deep neural networks and tree search (2016) (13400)
- Highly accurate protein structure prediction with AlphaFold (2021) (8720)
- Mastering the game of Go without human knowledge (2017) (7165)
- Overcoming catastrophic forgetting in neural networks (2016) (3772)
- A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play (2018) (2281)
- Grandmaster level in StarCraft II using multi-agent reinforcement learning (2019) (2227)
- Improved protein structure prediction using potentials from deep learning (2020) (1753)
- Clinically applicable deep learning for diagnosis and referral in retinal disease (2018) (1502)
- Hybrid computing using a neural network with dynamic external memory (2016) (1362)
- Patients with hippocampal amnesia cannot imagine new experiences (2007) (1242)
- International evaluation of an AI system for breast cancer screening (2020) (1224)
- Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm (2017) (1211)
- Mastering Atari, Go, chess and shogi by planning with a learned model (2019) (1081)
- The Future of Memory: Remembering, Imagining, and the Brain (2012) (1052)
- Deconstructing episodic memory with construction (2007) (1052)
- Highly accurate protein structure prediction for the human proteome (2021) (1032)
- Neuroscience-Inspired Artificial Intelligence (2017) (887)
- AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models (2021) (831)
- When Fear Is Near: Threat Imminence Elicits Prefrontal-Periaqueductal Gray Shifts in Humans (2007) (762)
- Parallel WaveNet: Fast High-Fidelity Speech Synthesis (2017) (712)
- Using Imagination to Understand the Neural Basis of Episodic Memory (2007) (685)
- Protein complex prediction with AlphaFold-Multimer (2021) (682)
- Noisy Networks for Exploration (2017) (673)
- A Clinically Applicable Approach to Continuous Prediction of Future Acute Kidney Injury (2019) (560)
- Neural scene representation and rendering (2018) (508)
- Human-level performance in 3D multiplayer games with population-based reinforcement learning (2018) (492)
- Vector-based navigation using grid-like representations in artificial agents (2018) (455)
- Imagination-Augmented Agents for Deep Reinforcement Learning (2017) (450)
- What Learning Systems do Intelligent Agents Need? Complementary Learning Systems Theory Updated (2016) (440)
- The construction system of the brain (2009) (415)
- Tackling Climate Change with Machine Learning (2019) (406)
- Prefrontal cortex as a meta-reinforcement learning system (2018) (394)
- Scaling Language Models: Methods, Analysis & Insights from Training Gopher (2021) (382)
- From Threat to Fear: The Neural Organization of Defensive Fear Systems in Humans (2009) (381)
- Reinforcement Learning, Fast and Slow (2019) (361)
- Grounded Language Learning in a Simulated 3D World (2017) (268)
- Tracking the Emergence of Conceptual Knowledge during Human Decision Making (2009) (260)
- A distributional code for value in dopamine-based reinforcement learning (2020) (248)
- Decoding Neuronal Ensembles in the Human Hippocampus (2009) (228)
- Magnetic control of tokamak plasmas through deep reinforcement learning (2022) (224)
- Decoding Individual Episodic Memory Traces in the Human Hippocampus (2010) (210)
- Imagine all the people: how the brain creates and uses personality models to predict behavior. (2014) (206)
- Cortical midline involvement in autobiographical memory (2009) (200)
- Hippocampal place cells construct reward related sequences through unexplored space (2015) (198)
- DeepMind Lab (2016) (195)
- Unveiling the predictive power of static structure in glassy systems (2020) (184)
- Detecting Representations of Recent and Remote Autobiographical Memories in vmPFC and Hippocampus (2012) (172)
- Unsupervised Predictive Memory in a Goal-Directed Agent (2018) (159)
- Advancing mathematics by guiding human intuition with AI (2021) (156)
- Protein structure prediction using multiple deep neural networks in the 13th Critical Assessment of Protein Structure Prediction (CASP13) (2019) (137)
- Differential engagement of brain regions within a ‘core’ network during scene construction (2010) (135)
- Human-level performance in first-person multiplayer games with population-based deep reinforcement learning (2018) (134)
- Neural Mechanisms of Hierarchical Planning in a Virtual Subway Network (2016) (128)
- Predicting conversion to wet age-related macular degeneration using deep learning (2020) (122)
- Learning and Querying Fast Generative Models for Reinforcement Learning (2018) (117)
- A Goal Direction Signal in the Human Entorhinal/Subicular Region (2015) (113)
- Applying and improving AlphaFold at CASP14 (2021) (111)
- Pushing the frontiers of density functionals by solving the fractional electron problem (2021) (97)
- Big-Loop Recurrence within the Hippocampal System Supports Integration of Information across Episodes (2018) (96)
- Computations Underlying Social Hierarchy Learning: Distinct Neural Mechanisms for Updating and Representing Self-Relevant Information (2016) (96)
- Imagining fictitious and future experiences: Evidence from developmental amnesia (2010) (94)
- SCAN: Learning Hierarchical Compositional Visual Concepts (2017) (92)
- Autobiographical memory in semantic dementia: A longitudinal fMRI study (2010) (89)
- Scene Construction in Amnesia: An fMRI Study (2012) (87)
- Discovering faster matrix multiplication algorithms with reinforcement learning (2022) (85)
- Multi-voxel pattern analysis in human hippocampal subfields (2012) (83)
- Role of the hippocampus in imagination and future thinking (2011) (83)
- Decoding Representations of Scenes in the Medial Temporal Lobes (2011) (79)
- Semantic representations in the temporal pole predict false memories (2016) (78)
- How cognitive and reactive fear circuits optimize escape decisions in humans (2017) (77)
- Choking on the Money (2009) (74)
- Memory-based Parameter Adaptation (2018) (72)
- Psychlab: A Psychology Laboratory for Deep Reinforcement Learning Agents (2018) (66)
- Protein structure prediction using multiple deep neural networks in CASP13. (2019) (66)
- Artificial Intelligence: Chess match of the century (2017) (65)
- Decoding overlapping memories in the medial temporal lobes using high-resolution fMRI (2011) (62)
- Protein structure predictions to atomic accuracy with AlphaFold (2022) (62)
- Improving alignment of dialogue agents via targeted human judgements (2022) (56)
- SCAN: Learning Abstract Hierarchical Compositional Visual Concepts (2017) (50)
- Acquisition of chess knowledge in AlphaZero (2021) (49)
- Letter to the Editor: Research Priorities for Robust and Beneficial Artificial Intelligence: An Open Letter (2015) (49)
- Slow escape decisions are swayed by trait anxiety (2019) (48)
- Impaired spatial and non-spatial configural learning in patients with hippocampal pathology (2007) (47)
- Foraging under Competition: The Neural Basis of Input-Matching in Humans (2013) (43)
- Turing centenary: Is the brain a good model for machine intelligence? (2012) (42)
- Unsupervised deep learning identifies semantic disentanglement in single inferotemporal face patch neurons (2020) (40)
- Choking on the Money: Reward-Based Performance Decrements Are Associated With Midbrain Activity (2012) (39)
- Mastering the game of Stratego with model-free multiagent reinforcement learning (2022) (33)
- Game Plan: What AI can do for Football, and What Football can do for AI (2020) (30)
- Retrieval-Based Model Accounts for Striking Profile of Episodic Memory and Generalization (2016) (29)
- Building machines that learn and think for themselves (2017) (29)
- Improved protein structure prediction using potentials from deep learning (2020) (27)
- Use of deep learning to develop continuous-risk models for adverse event prediction from electronic health records (2021) (26)
- MEMO: A Deep Network for Flexible Combination of Episodic Memories (2020) (23)
- Alchemy: A structured task distribution for meta-reinforcement learning (2021) (23)
- The Forget-me-not Process (2016) (21)
- A model of egocentric to allocentric understanding in mammalian brains (2020) (19)
- Assessing Game Balance with AlphaZero: Exploring Alternative Rule Sets in Chess (2020) (18)
- Reply to Huszár: The elastic weight consolidation penalty is empirically valid (2018) (12)
- Alchemy: A benchmark and analysis toolkit for meta-reinforcement learning agents (2021) (9)
- Addendum: International evaluation of an AI system for breast cancer screening (2020) (8)
- Approximate Hubel-Wiesel Modules and the Data Structures of Neural Computation (2015) (6)
- Multiagent off-screen behavior prediction in football (2022) (4)
- Reimagining chess with AlphaZero (2022) (4)
- Neural processes underpinning episodic memory (2009) (4)
- Atomistic graph networks for experimental materials property prediction (2021) (2)
- 3D-Beacons: decreasing the gap between protein sequences and structures through a federated network of protein structure data resources (2022) (2)
- Learning Dynamic State Abstractions for Model-Based Reinforcement Learning (2018) (2)
- A distributional code for value in dopamine-based reinforcement learning (2020) (1)
- MEMO: A DEEP NETWORK FOR FLEXIBLE COMBINA- (2020) (1)
- Response to Comment on “Pushing the frontiers of density functionals by solving the fractional electron problem” (2022) (1)
- Developing Deep Learning Continuous Risk Models for Early Adverse Event Prediction in Electronic Health Records: an AKI Case Study (2019) (1)
- DeepMind: From Games to Scientific Discovery (2021) (1)
- Article es in the Human Hippocampus (2009) (0)
- Unveiling the predictive power of static structure in glassy systems (2020) (0)
- A model of structure learning, inference, and generation for scene understanding (2017) (0)
- Vector-based navigation using grid-like representations in artificial agents (2018) (0)
- Decoding future state representations during planning (2013) (0)
- Principles of Systems Biology, No. 11. (2016) (0)
- International evaluation of an AI system for breast cancer screening (2020) (0)
- Clinically applicable deep learning for diagnosis and referral in retinal disease (2018) (0)
- Developing Continuous Risk Models for Adverse Event Prediction in Electronic Health Records using Deep Learning (2020) (0)
- AlphaFold: Improved protein structure prediction using (2019) (0)
- “With AI, you might unlock some of the secrets about how life works” (2021) (0)
- The Technology of Artificial Intelligence (2016) (0)
- high-resolution fMRI Decoding overlapping memories in the medial temporal lobes using (2013) (0)
- Slow escape decisions are swayed by trait anxiety (2019) (0)
- Author response: Hippocampal place cells construct reward related sequences through unexplored space (2015) (0)
- Symbolic Reasoning with Differentiable Neural Comput (2016) (0)
- Predicting conversion to wet age-related macular degeneration using deep learning (2020) (0)
- Article Decoding Neuronal Ensembles in the Human Hippocampus (2009) (0)
- 2 Short-term Research Priorities 2 . 1 Optimizing AI ’ s Economic Impact (0)
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What Schools Are Affiliated With Demis Hassabis?
Demis Hassabis is affiliated with the following schools:
