Standout Papers
Citation Impact
Citing Papers
Wasserstein Generative Adversarial Networks
2017 Standout
KDGAN: Knowledge Distillation with Generative Adversarial Networks
2018
Mutual Information Neural Estimation.
2018
An Algorithmic Perspective on Imitation Learning
2018
A Hallucinogenic Serotonin-2A Receptor Agonist Reduces Visual Response Gain and Alters Temporal Dynamics in Mouse V1
2019
Recurrent Network Models of Sequence Generation and Memory
2016
Optogenetics: 10 years of microbial opsins in neuroscience
2015 Standout
Slow escape decisions are swayed by trait anxiety
2019 StandoutNobel
Artificial intelligence in drug development: present status and future prospects
2018 Standout
Anxiety Cells in a Hippocampal-Hypothalamic Circuit
2018
The rise of deep learning in drug discovery
2018
Closed-Loop and Activity-Guided Optogenetic Control
2015
The neural basis of psychedelic action
2022 Standout
Applications of machine learning in drug discovery and development
2019 Standout
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
2021 Standout
A review of medical image data augmentation techniques for deep learning applications
2021 Standout
Inverting the Generator of a Generative Adversarial Network
2018
Generative Model for the Inverse Design of Metasurfaces
2018 Standout
On the Effectiveness of Least Squares Generative Adversarial Networks
2018
Generative Adversarial Networks: An Overview
2018 Standout
A Summary Review of Wireless Sensors and Sensor Networks for Structural Health Monitoring
2006 Standout
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications
2021 Standout
Review on Generative Adversarial Networks: Focusing on Computer Vision and Its Applications
2021 Standout
A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI
2020 Standout
Knowledge Distillation: A Survey
2021 Standout
How Generative Adversarial Networks and Their Variants Work
2019
Deep Reinforcement Learning: A Survey
2022 Standout
GAN Lab: Understanding Complex Deep Generative Models using Interactive Visual Experimentation
2018
Privacy-Preserving Spatiotemporal Scenario Generation of Renewable Energies: A Federated Deep Generative Learning Approach
2021 Standout
Image Super-Resolution Via Iterative Refinement
2022
Understanding Emergent Dynamics: Using a Collective Activity Coordinate of a Neural Network to Recognize Time-Varying Patterns
2015 StandoutNobel
A comprehensive electron wavefunction analysis toolbox for chemists, Multiwfn
2024 Standout
Deep Learning Enabled Semantic Communication Systems
2021 Standout
ChatGPT Chemistry Assistant for Text Mining and the Prediction of MOF Synthesis
2023 StandoutNobel
A Brief Overview of ChatGPT: The History, Status Quo and Potential Future Development
2023 Standout
A Roadmap of Agent Research and Development
1998 Standout
High-Resolution Image Synthesis with Latent Diffusion Models
2022 Standout
Works of David Pfau being referenced
Robust learning of low-dimensional dynamics from large neural ensembles
2013
Bayesian Nonparametric Methods for Partially-Observable Reinforcement Learning
2015
Simultaneous Denoising, Deconvolution, and Demixing of Calcium Imaging Data
2016
Pushing the frontiers of density functionals by solving the fractional electron problem
2021 StandoutScienceNobel
Unrolled Generative Adversarial Networks
2016
Bayesian Nonparametric Methods for Partially-Observable Reinforcement Learning
2013