Tag: peer-reviewed-paper

01 Jan 2022

Pushing the Frontiers of Density Functionals by Solving the Fractional Electron Problem

01 Jan 2021

Advancing Mathematics by Guiding Human Intuition with AI

01 Jan 2021

Applying and Improving AlphaFold at CASP14

01 Jan 2021

Highly Accurate Protein Structure Prediction for the Human Proteome

01 Jan 2021

Protein Complex Prediction with AlphaFold-Multimer

01 Jan 2020

A Distributional Code for Value in Dopamine-Based Reinforcement Learning

01 Jan 2020

Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model

01 Jan 2020

Protein Structure Predictions to Atomic Accuracy with AlphaFold

01 Jan 2020

Reinforcement Learning, Fast and Slow

01 Jan 2019

A Clinically Applicable Approach to Continuous Prediction of Future Acute Kidney Injury

01 Jan 2019

Big-Loop Recurrence Within the Hippocampal System Supports Integration of Information Across Episodes

01 Jan 2019

Grandmaster Level in StarCraft II Using Multi-Agent Reinforcement Learning

01 Jan 2019

Improved Protein Structure Prediction Using Potentials from Deep Learning

01 Jan 2018

A General Reinforcement Learning Algorithm That Masters Chess, Shogi, and Go Through Self-Play

01 Jan 2018

Clinically Applicable Deep Learning for Diagnosis and Referral in Retinal Disease

01 Jan 2018

Neural Scene Representation and Rendering

01 Jan 2018

Vector-Based Navigation Using Grid-Like Representations in Artificial Agents

01 Jan 2017

Human-Level Performance in First-Person Multiplayer Games with Population-Based Deep Reinforcement Learning

01 Jan 2017

Mastering the Game of Go without Human Knowledge

01 Jan 2017

Neuroscience-Inspired Artificial Intelligence

01 Jan 2017

Overcoming Catastrophic Forgetting in Neural Networks

01 Jan 2017

Prefrontal Cortex as a Meta-Reinforcement Learning System

01 Jan 2016

Computations Underlying Social Hierarchy Learning: Distinct Neural Mechanisms for Updating and Representing Self-Relevant Information

01 Jan 2016

Hybrid Computing Using a Neural Network with Dynamic External Memory

01 Jan 2016

Mastering the Game of Go with Deep Neural Networks and Tree Search

01 Jan 2016

Neural Mechanisms of Hierarchical Planning in a Virtual Subway Network

01 Jan 2016

Semantic Representations in the Temporal Pole Predict False Memories

01 Jan 2016

What Learning Systems Do Intelligent Agents Need? Complementary Learning Systems Theory Updated

01 Jan 2015

Human-Level Control Through Deep Reinforcement Learning

01 Jan 2010

Decoding Individual Episodic Memory Traces in the Human Hippocampus

01 Jan 2009

Decoding Neuronal Ensembles in the Human Hippocampus

01 Jan 2007

Deconstructing Episodic Memory with Construction

01 Jan 2007

Imagine All the People: How the Brain Creates and Uses Personality Models

01 Jan 2007

Patients with Hippocampal Amnesia Cannot Imagine New Experiences

01 Jan 2007

Using Imagination to Understand the Neural Basis of Episodic Memory

01 Jan 2007

When Fear Is Near: Threat Imminence Elicits Prefrontal-Periaqueductal Gray Shifts in Humans

01 Jan 2006

MinedDeep

Explorer

Pushing the Frontiers of Density Functionals by Solving the Fractional Electron Problem

Advancing Mathematics by Guiding Human Intuition with AI

Applying and Improving AlphaFold at CASP14

Highly Accurate Protein Structure Prediction for the Human Proteome

Protein Complex Prediction with AlphaFold-Multimer

A Distributional Code for Value in Dopamine-Based Reinforcement Learning

Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model

Protein Structure Predictions to Atomic Accuracy with AlphaFold

Reinforcement Learning, Fast and Slow

A Clinically Applicable Approach to Continuous Prediction of Future Acute Kidney Injury

Big-Loop Recurrence Within the Hippocampal System Supports Integration of Information Across Episodes

Grandmaster Level in StarCraft II Using Multi-Agent Reinforcement Learning

Improved Protein Structure Prediction Using Potentials from Deep Learning

A General Reinforcement Learning Algorithm That Masters Chess, Shogi, and Go Through Self-Play

Clinically Applicable Deep Learning for Diagnosis and Referral in Retinal Disease

Neural Scene Representation and Rendering

Vector-Based Navigation Using Grid-Like Representations in Artificial Agents

Human-Level Performance in First-Person Multiplayer Games with Population-Based Deep Reinforcement Learning

Mastering the Game of Go without Human Knowledge

Neuroscience-Inspired Artificial Intelligence

Overcoming Catastrophic Forgetting in Neural Networks

Prefrontal Cortex as a Meta-Reinforcement Learning System

Computations Underlying Social Hierarchy Learning: Distinct Neural Mechanisms for Updating and Representing Self-Relevant Information

Hybrid Computing Using a Neural Network with Dynamic External Memory

Mastering the Game of Go with Deep Neural Networks and Tree Search

Neural Mechanisms of Hierarchical Planning in a Virtual Subway Network

Semantic Representations in the Temporal Pole Predict False Memories

What Learning Systems Do Intelligent Agents Need? Complementary Learning Systems Theory Updated

Human-Level Control Through Deep Reinforcement Learning

Decoding Individual Episodic Memory Traces in the Human Hippocampus

Decoding Neuronal Ensembles in the Human Hippocampus

Deconstructing Episodic Memory with Construction

Imagine All the People: How the Brain Creates and Uses Personality Models

Patients with Hippocampal Amnesia Cannot Imagine New Experiences

Using Imagination to Understand the Neural Basis of Episodic Memory

When Fear Is Near: Threat Imminence Elicits Prefrontal-Periaqueductal Gray Shifts in Humans

Tracking the Emergence of Conceptual Knowledge during Human Decision Making