Citation Impact
Citing Papers
An Empirical Study of Training Self-Supervised Vision Transformers
2021
Deepfake detection using deep learning methods: A systematic and comprehensive review
2023 Standout
Is multiagent deep reinforcement learning the answer or the question? A brief survey
2018
Language modeling with gated convolutional networks
2017
A theoretically grounded application of dropout in recurrent neural networks
2016
A review of uncertainty quantification in deep learning: Techniques, applications and challenges
2021 Standout
Electrocardiogram generation with a bidirectional LSTM-CNN generative adversarial network
2019 Standout
Foundation models for generalist medical artificial intelligence
2023 StandoutNature
Information Aware max-norm Dirichlet networks for predictive uncertainty estimation
2020
Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Research Directions
2021 Standout
Deep Reinforcement Learning Control of Quantum Cartpoles
2020
Recurrent Neural Networks for Multivariate Time Series with Missing Values
2018 Standout
An Introduction to Variational Autoencoders
2019 Standout
Improving the accuracy of Møller-Plesset perturbation theory with neural networks
2017
MoleculeNet: a benchmark for molecular machine learning
2017 Standout
Model Compression and Hardware Acceleration for Neural Networks: A Comprehensive Survey
2020 Standout
Emerging Properties in Self-Supervised Vision Transformers
2021 Standout
Scaling Up Your Kernels to 31×31: Revisiting Large Kernel Design in CNNs
2022 Standout
A review of medical image data augmentation techniques for deep learning applications
2021 Standout
Advances in Variational Inference
2018
DO-Conv: Depthwise Over-Parameterized Convolutional Layer
2022
$L1$ -Norm Batch Normalization for Efficient Training of Deep Neural Networks
2018
Quantifying model form uncertainty in Reynolds-averaged turbulence models with Bayesian deep neural networks
2019
Deep Reinforcement Learning for Multiagent Systems: A Review of Challenges, Solutions, and Applications
2020 Standout
Conditional deep surrogate models for stochastic, high-dimensional, and multi-fidelity systems
2019
Diffusion Models: A Comprehensive Survey of Methods and Applications
2023
Deep learning with long short-term memory networks for financial market predictions
2017 Standout
Financial time series forecasting model based on CEEMDAN and LSTM
2018 Standout
Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteriors
2016
Communication-Efficient Stochastic Gradient MCMC for Neural Networks
2019
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
2018 Standout
Time-Resolved Line Shapes of Single Quantum Emitters via Machine Learned Photon Correlations
2023 StandoutNobel
Fake face detection via adaptive manipulation traces extraction network
2021
Adversarial autoencoder ensemble for fast and probabilistic reconstructions of few-shot photon correlation functions for solid-state quantum emitters
2022 StandoutNobel
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence
2023 Standout
Calibration of deep probabilistic models with decoupled bayesian neural networks
2020
Physics-informed machine learning
2021 Standout
RepVGG: Making VGG-style ConvNets Great Again
2021 Standout
Recent advances in convolutional neural networks
2017 Standout
Radial and Directional Posteriors for Bayesian Deep Learning
2020
Deep Learning for Generic Object Detection: A Survey
2019 Standout
A survey and critique of multiagent deep reinforcement learning
2019
Disentangling Rotational Dynamics and Ordering Transitions in a System of Self-Organizing Protein Nanorods via Rotationally Invariant Latent Representations
2021 StandoutNobel
Model-Free Quantum Control with Reinforcement Learning
2022 StandoutNobel
Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data
2019
Uncertainty-Aware Deep Classifiers Using Generative Models
2020
Recent Trends in Deep Learning Based Natural Language Processing [Review Article]
2018 Standout
Attention mechanisms in computer vision: A survey
2022 Standout
Switchable Normalization for Learning-to-Normalize Deep Representation
2019
A Brief Overview of ChatGPT: The History, Status Quo and Potential Future Development
2023 Standout
Generalizing from a Few Examples
2020 Standout
High-Resolution Image Synthesis with Latent Diffusion Models
2022 Standout
Works of Tim Salimans being referenced
Weight normalization: a simple reparameterization to accelerate training of deep neural networks
2016
Improving Variational Autoencoders with Inverse Autoregressive Flow
2016
Improved Variational Inference with Inverse Autoregressive Flow
2016
Variational Lossy Autoencoder
2016
Image Super-Resolution Via Iterative Refinement
2022
Variational Dropout and the Local Reparameterization Trick
2015