Standout Papers
- Overcoming catastrophic forgetting in neural networks (2017)
- Imagination-Augmented Agents for Deep Reinforcement Learning (2017)
Citation Impact
Citing Papers
A Deep Policy Inference Q-Network for Multi-Agent Systems
2018
Protein interaction networks revealed by proteome coevolution
2019 StandoutScienceNobel
Improved protein structure prediction using predicted interresidue orientations
2020 StandoutNobel
Schema networks: zero-shot transfer with a generative causal model of intuitive physics
2017
Continual lifelong learning with neural networks: A review
2019 Standout
Multiagent off-screen behavior prediction in football
2022 StandoutNobel
Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis
2016
Clinical-grade computational pathology using weakly supervised deep learning on whole slide images
2019 Standout
Recent advances in physical reservoir computing: A review
2019 Standout
Deep learning for computational biology
2016
De novo design of immunoglobulin-like domains
2022 StandoutNobel
Accurate De Novo Prediction of Protein Contact Map by Ultra-Deep Learning Model
2017
Advancing mathematics by guiding human intuition with AI
2021 StandoutNatureNobel
A deep learning framework for unsupervised affine and deformable image registration
2018
Unsupervised deep learning identifies semantic disentanglement in single inferotemporal face patch neurons
2021 StandoutNobel
Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning
2018 Standout
Machine learning for molecular and materials science
2018 StandoutNature
Cryo-EM structure of the protein-conducting ERAD channel Hrd1 in complex with Hrd3
2017 StandoutNatureNobel
Improving airway segmentation in computed tomography using leak detection with convolutional networks
2016
The trRosetta server for fast and accurate protein structure prediction
2021 StandoutNobel
Reinforcement Learning, Fast and Slow
2019 StandoutNobel
Reservoir Computing Properties of Neural Dynamics in Prefrontal Cortex
2016
High-performance medicine: the convergence of human and artificial intelligence
2018 Standout
Recurrent temporal networks and language acquisition—from corticostriatal neurophysiology to reservoir computing
2013
Re-visiting the echo state property
2012
A survey on deep learning in medical image analysis
2017 Standout
Large scale deep learning for computer aided detection of mammographic lesions
2016
Deep learning for small and big data in psychiatry
2020
Predicting age by mining electronic medical records with deep learning characterizes differences between chronological and physiological age
2017
Deep learning and process understanding for data-driven Earth system science
2019 StandoutNature
Improved protein structure prediction using potentials from deep learning
2020 StandoutNatureNobel
Computer-Inspired Concept for High-Dimensional Multipartite Quantum Gates
2020 StandoutNobel
A guide to deep learning in healthcare
2018 Standout
DeepSurv: personalized treatment recommender system using a Cox proportional hazards deep neural network
2018 Standout
The importance of mixed selectivity in complex cognitive tasks
2013 Nature
Deep learning
2015 StandoutNatureNobel
Representation Learning: A Review and New Perspectives
2013 Standout
Neuroscience-Inspired Artificial Intelligence
2017 StandoutNobel
What Is a Cognitive Map? Organizing Knowledge for Flexible Behavior
2018
What Learning Systems do Intelligent Agents Need? Complementary Learning Systems Theory Updated
2016 StandoutNobel
Predicting Response to Neoadjuvant Chemotherapy with PET Imaging Using Convolutional Neural Networks
2015
Spatial Clockwork Recurrent Neural Network for Muscle Perimysium Segmentation
2016
Deep learning in bioinformatics: Introduction, application, and perspective in the big data era
2019
Searching for exotic particles in high-energy physics with deep learning
2014
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
2021 Standout
Recurrent Neural Networks for Multivariate Time Series with Missing Values
2018 Standout
Born to learn: The inspiration, progress, and future of evolved plastic artificial neural networks
2018
Deep learning in neural networks: An overview
2014 Standout
The role of artificial intelligence in achieving the Sustainable Development Goals
2020 Standout
Machine learning: Trends, perspectives, and prospects
2015 StandoutScience
Machine learning for data-driven discovery in solid Earth geoscience
2019 StandoutScience
Deep UQ: Learning deep neural network surrogate models for high dimensional uncertainty quantification
2018
A review of unsupervised feature learning and deep learning for time-series modeling
2014
Unveiling the predictive power of static structure in glassy systems
2020 StandoutNobel
Active learning machine learns to create new quantum experiments
2018 StandoutNobel
The forthcoming Artificial Intelligence (AI) revolution: Its impact on society and firms
2017 Standout
Squeeze-and-Excitation Networks
2019 Standout
Dask: Parallel Computation with Blocked algorithms and Task Scheduling
2015
ChatGPT: five priorities for research
2023 StandoutNature
Deep Reinforcement Learning for Multiagent Systems: A Review of Challenges, Solutions, and Applications
2020 Standout
Trust Region Policy Optimization
2015 Standout
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
2015 Standout
Deep learning for AI
2021 StandoutNobel
Social LSTM: Human Trajectory Prediction in Crowded Spaces
2016 Standout
Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
2018 Standout
Multi-Instance Deep Learning: Discover Discriminative Local Anatomies for Bodypart Recognition
2016
Concept whitening for interpretable image recognition
2020
Combining Generative and Discriminative Representation Learning for Lung CT Analysis With Convolutional Restricted Boltzmann Machines
2016
Acquisition of chess knowledge in AlphaZero
2022 StandoutNobel
Evolutionary-scale prediction of atomic-level protein structure with a language model
2023 StandoutScience
Geometric Deep Learning: Going beyond Euclidean data
2017 Standout
A Deep Neural Networks Approach to Automatic Recognition Systems for Volcano-Seismic Events
2018
Anisotropic Diffusion Descriptors
2016
Deep Reinforcement Learning: A Brief Survey
2017 Standout
Predicting Semantic Descriptions from Medical Images with Convolutional Neural Networks
2015
Deep reservoir computing: A critical experimental analysis
2017
System Design Perspective for Human-Level Agents Using Deep Reinforcement Learning: A Survey
2017
Machine learning for active matter
2020
Definitions, methods, and applications in interpretable machine learning
2019 Standout
A survey and critique of multiagent deep reinforcement learning
2019
Learning class‐specific descriptors for deformable shapes using localized spectral convolutional networks
2015
Deep Learning: Methods and Applications
2014
Disentangling Rotational Dynamics and Ordering Transitions in a System of Self-Organizing Protein Nanorods via Rotationally Invariant Latent Representations
2021 StandoutNobel
Time series forecasting of petroleum production using deep LSTM recurrent networks
2018 Standout
Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images
2016 Standout
Generalizing from a Few Examples
2020 Standout
Protein contact prediction using metagenome sequence data and residual neural networks
2019 StandoutNobel
Works of Razvan Pascanu being referenced
Overcoming catastrophic forgetting in neural networks
2017 StandoutNobel
Understanding the exploding gradient problem
2012
Natural Neural Networks
2015
Natural Gradient Revisited
2013
Revisiting Natural Gradient for Deep Networks
2014
How to Construct Deep Recurrent Neural Networks
2014
Identifying and attacking the saddle point problem in high-dimensional non-convex optimization
2014
A neurodynamical model for working memory
2010
Policy Distillation
2015
Learning to Navigate in Complex Environments
2016
Theano: A CPU and GPU Math Compiler in Python
2010
Interaction Networks for Learning about Objects, Relations and Physics
2016