Standout Papers
Citation Impact
Citing Papers
Dropout: a simple way to prevent neural networks from overfitting
2014 StandoutNobel
Low-Rank Approximation and Regression in Input Sparsity Time
2017
Reduced Basis Approximation and a Posteriori Error Estimation for Affinely Parametrized Elliptic Coercive Partial Differential Equations
2008
Explainable AI: A Review of Machine Learning Interpretability Methods
2020 Standout
Crystalline metamaterials for topological properties at subwavelength scales
2017
Mastering the game of Go without human knowledge
2017 StandoutNatureNobel
Multimode Memories in Atomic Ensembles
2008
Molecular State Reconstruction by Nonlinear Wave Packet Interferometry
2004
Probabilistic Independent Component Analysis for Functional Magnetic Resonance Imaging
2004 Standout
Quantum machine learning
2017 StandoutNature
Machine learning for molecular and materials science
2018 StandoutNature
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 Standout
Dictionary learning for integrative, multimodal and scalable single-cell analysis
2023 Standout
Explaining Aha! moments in artificial agents through IKE-XAI: Implicit Knowledge Extraction for eXplainable AI
2022
Architecting the finite element method pipeline for the GPU
2013
Quality of Cardiopulmonary Resuscitation During Out-of-Hospital Cardiac Arrest
2005 Standout
Discovering faster matrix multiplication algorithms with reinforcement learning
2022 StandoutNatureNobel
Plurality and Resemblance in fMRI Data Analysis
1999
Explainable machine learning for public policy: Use cases, gaps, and research directions
2023
Jacobian-free Newton–Krylov methods: a survey of approaches and applications
2003 Standout
Learning to classify with missing and corrupted features
2009
Massive MIMO for next generation wireless systems
2014 Standout
Visualization of Supervised and Self-Supervised Neural Networks via Attribution Guided Factorization
2021
Emerging Properties in Self-Supervised Vision Transformers
2021 Standout
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 Standout
Unmanned surface vehicles: An overview of developments and challenges
2016 Standout
FORWARD AND BACKWARD UNCERTAINTY PROPAGATION FOR DISCONTINUOUS SYSTEM RESPONSE USING THE PADÉ-LEGENDRE METHOD
2012
Hermitian Precoding for Distributed MIMO Systems with Individual Channel State Information
2013
Discriminative Block-Diagonal Representation Learning for Image Recognition
2017
Coherent Exciton Dynamics in Supramolecular Light-Harvesting Nanotubes Revealed by Ultrafast Quantum Process Tomography
2014 StandoutNobel
Isogeometric analysis: An overview and computer implementation aspects
2015 Standout
Tensors in computations
2021
An Overview of Massive MIMO: Benefits and Challenges
2014 Standout
A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI
2020 Standout
The Serpent Monte Carlo code: Status, development and applications in 2013
2014 Standout
Teaching Machine Learning in School: A Systematic Mapping of the State of the Art
2020
Prediction by linear regression on a quantum computer
2016
Hidden fluid mechanics: Learning velocity and pressure fields from flow visualizations
2020 StandoutScience
The decompositional approach to matrix computation
2000
Data-driven discovery of partial differential equations
2017
Information Forensics: An Overview of the First Decade
2013 Standout
Finding Structure with Randomness: Probabilistic Algorithms for Constructing Approximate Matrix Decompositions
2011 Standout
Wide Band Modeling of Power Transformers
2004
Removal of cardiopulmonary resuscitation artifacts from human ECG using an efficient matching pursuit-like algorithm
2002
Attitude Estimation for Intervention-AUVs Working in Tandem with Autonomous Surface Craft
2012
Decentralized estimation and control of graph connectivity for mobile sensor networks
2009
Numerical solution of saddle point problems
2005 Standout
A Survey of Projection-Based Model Reduction Methods for Parametric Dynamical Systems
2015 Standout
Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
2018 Standout
Preconditioning Techniques for Large Linear Systems: A Survey
2002
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications
2021 Standout
Overlapping Schwarz preconditioners for isogeometric collocation methods
2014
Concept whitening for interpretable image recognition
2020
Quantum information with Rydberg atoms
2010 Standout
Dynamic mode decomposition of numerical and experimental data
2010 Standout
A survey on ensemble learning
2019 Standout
Robust Sparse Linear Discriminant Analysis
2018 Standout
Topological photonics
2019 Standout
Exposing Digital Forgeries in Complex Lighting Environments
2007
Acquisition of chess knowledge in AlphaZero
2022 StandoutNobel
GEM-Selektor geochemical modeling package: revised algorithm and GEMS3K numerical kernel for coupled simulation codes
2012
Results and Questions on a Nonlinear Approximation Approach for Solving High-dimensional Partial Differential Equations
2009
Incomplete Multiview Spectral Clustering With Adaptive Graph Learning
2018 Standout
Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications
2021
A literature survey of low‐rank tensor approximation techniques
2013 Standout
Particle Swarm Optimization: A Comprehensive Survey
2022 Standout
Particle Swarm Optimization for Single Objective Continuous Space Problems: A Review
2016
The synchronization of chaotic systems
2002 Standout
AI-enabled adaptive learning systems: A systematic mapping of the literature
2021 Standout
On Reducing the Effect of Covariate Factors in Gait Recognition: A Classifier Ensemble Method
2014
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence
2023 Standout
INFO: An efficient optimization algorithm based on weighted mean of vectors
2022 Standout
Structured tools for structured matrices
2003
Artificial Intelligence Regulation: a framework for governance
2021 Standout
Performance Optimization Using Partitioned SpMV on GPUs and Multicore CPUs
2014 Standout
Machine Learning Interpretability: A Survey on Methods and Metrics
2019
Solving Linear Systems with Sparse Gaussian Elimination in the Chebyshev Rational Approximation Method
2013
Application of Non-linear Analysis to Intensity Oscillations of the Chromospheric Bright Points
2001
Cemdata18: A chemical thermodynamic database for hydrated Portland cements and alkali-activated materials
2018 Standout
An Overview of Recent Progress in the Study of Distributed Multi-Agent Coordination
2012 Standout
Definitions, methods, and applications in interpretable machine learning
2019 Standout
Prediction and control of combustion instabilities in real engines
2016 Standout
Exploiting sparsity and equation-free architectures in complex systems
2014
Discovering governing equations from data by sparse identification of nonlinear dynamical systems
2016 Standout
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 Standout
Improving the Pole Relocating Properties of Vector Fitting
2006 Standout
Nonconvex Optimization Meets Low-Rank Matrix Factorization: An Overview
2019
Approximate policy iteration: a survey and some new methods
2011
Works of David Bau being referenced
Explaining Explanations: An Approach to Evaluating Interpretability of Machine Learning
2018
Numerical Linear Algebra
1997 Standout
Understanding the role of individual units in a deep neural network
2020
Learnable Programming: Blocks and Beyond
2017
Interpreting Deep Visual Representations via Network Dissection
2018