Lior Horesh

CoRR, 2022

Creating quantum-resistant classical-classical OWFs from quantum-classical OWFs.

[BibT_eX]

[DOI]

Wei Zheng Teo

Marco Carmosino

CoRR, 2022

Towards Quantum Advantage on Noisy Quantum Computers.

[BibT_eX]

[DOI]

CoRR, 2022

PCENet: High Dimensional Surrogate Modeling for Learning Uncertainty.

[BibT_eX]

[DOI]

CoRR, 2022

Efficient Quantum Computation of the Fermionic Boundary Operator.

[BibT_eX]

[DOI]

CoRR, 2022

Combining Fast and Slow Thinking for Human-like and Efficient Navigation in Constrained Environments.

[BibT_eX]

[DOI]

CoRR, 2022

Distributed adversarial training to robustify deep neural networks at scale.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Overcoming Catastrophic Forgetting via Direction-Constrained Optimization.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

A Stochastic Linearized Augmented Lagrangian Method for Decentralized Bilevel Optimization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Combining Fast and Slow Thinking for Human-like and Efficient Decisions in Constrained Environments.

[BibT_eX]

[DOI]

Proceedings of the 16th International Workshop on Neural-Symbolic Learning and Reasoning as part of the 2nd International Joint Conference on Learning & Reasoning (IJCLR 2022), 2022

Thinking Fast and Slow in AI: The Role of Metacognition.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, Optimization, and Data Science, 2022

Quantum-Inspired Algorithms from Randomized Numerical Linear Algebra.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Decentralized Bilevel Optimization for Personalized Client Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Fast Randomized Non-Hermitian Eigensolvers Based on Rational Filtering and Matrix Partitioning.

[BibT_eX]

[DOI]

Vassilis Kalantzis

Yuanzhe Xi

SIAM J. Sci. Comput., 2021

Dynamic graph and polynomial chaos based models for contact tracing data analysis and optimal testing prescription.

[BibT_eX]

[DOI]

Guy Cohen

J. Biomed. Informatics, 2021

Integration of Data and Theory for Accelerated Derivable Symbolic Discovery.

[BibT_eX]

[DOI]

CoRR, 2021

Quantum Topological Data Analysis with Linear Depth and Exponential Speedup.

[BibT_eX]

[DOI]

Mark S. Squillante

Kenneth L. Clarkson

CoRR, 2021

E-PDDL: A Standardized Way of Defining Epistemic Planning Problems.

[BibT_eX]

[DOI]

CoRR, 2021

Solving sparse linear systems with approximate inverse preconditioners on analog devices.

[BibT_eX]

[DOI]

CoRR, 2021

Fast randomized non-Hermitian eigensolver based on rational filtering and matrix partitioning.

[BibT_eX]

[DOI]

Vassilis Kalantzis

Yuanzhe Xi

CoRR, 2021

Dynamic Graph Convolutional Networks Using the Tensor M-Product.

[BibT_eX]

[DOI]

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Projection techniques to update the truncated SVD of evolving matrices with applications.

[BibT_eX]

[DOI]

Vasileios Kalantzis

Georgios Kollias

Athanasios N. Nikolakopoulos

Kenneth L. Clarkson

Proceedings of the 38th International Conference on Machine Learning, 2021

Training Logical Neural Networks by Primal-Dual Methods for Neuro-Symbolic Reasoning.

[BibT_eX]

[DOI]

Songtao Lu

Naweed Khan

Ryan Riegel

Alexander G. Gray

Proceedings of the IEEE International Conference on Acoustics, 2021

Sparse Graph Based Sketching for Fast Numerical Linear Algebra.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

Solving sparse linear systems with approximate inverse preconditioners on analog devices.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021

Combining Fast and Slow Thinking for Human-like and Efficient Navigation in Constrained Environments.

[BibT_eX]

[DOI]

Proceedings of the Thinking Fast and Slow and Other Cognitive Theories in AI, 2021

Epistemic Planning in a Fast and Slow Setting.

[BibT_eX]

[DOI]

Francesco Fabiano

Proceedings of the Thinking Fast and Slow and Other Cognitive Theories in AI, 2021

Decentralized Policy Gradient Descent Ascent for Safe Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Thinking Fast and Slow in AI.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Denoising quantum states with Quantum Autoencoders - Theory and Applications.

[BibT_eX]

[DOI]

Tom Achache

John A. Smolin

CoRR, 2020

Quantum-Inspired Algorithms from Randomized Numerical Linear Algebra.

[BibT_eX]

[DOI]

CoRR, 2020

Projection techniques to update the truncated SVD of evolving matrices.

[BibT_eX]

[DOI]

Vassilis Kalantzis

Georgios Kollias

Athanasios N. Nikolakopoulos

Kenneth L. Clarkson

CoRR, 2020

Dynamic graph based epidemiological model for COVID-19 contact tracing data analysis and optimal testing prescription.

[BibT_eX]

[DOI]

Guy Cohen

CoRR, 2020

Symbolic Regression using Mixed-Integer Nonlinear Optimization.

[BibT_eX]

[DOI]

CoRR, 2020

Tensor-Tensor Products for Optimal Representation and Compression.

[BibT_eX]

[DOI]

CoRR, 2020

2019

Communication over Continuous Quantum Secure Dialogue using Einstein-Podolsky-Rosen States.

[BibT_eX]

[DOI]

Shaokai Lin

Zichuan Wang

CoRR, 2019

Tensor Graph Convolutional Networks for Prediction on Dynamic Graphs.

[BibT_eX]

[DOI]

CoRR, 2019

Recurrent Neural Networks in the Eye of Differential Equations.

[BibT_eX]

[DOI]

Murphy Yuezhen Niu

Isaac Chuang

CoRR, 2019

2018

Experimental Design for Nonparametric Correction of Misspecified Dynamical Models.

[BibT_eX]

[DOI]

Gal Shulkind

Haim Avron

SIAM/ASA J. Uncertain. Quantification, 2018

Stable Tensor Neural Networks for Rapid Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2018

2017

Image classification using local tensor singular value decompositions.

[BibT_eX]

[DOI]

Elizabeth Newman

Misha E. Kilmer

Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

2015

Community Detection Using Time-Dependent Personalized PageRank.

[BibT_eX]

[DOI]

Haim Avron

Alberto Costa Nogueira Jr.

Proceedings of the 32nd International Conference on Machine Learning, 2015

Semi-discrete Matrix-Free Formulation of 3D Elastic Full Waveform Inversion Modeling.

[BibT_eX]

[DOI]

Stephen Moore

Devi Sudheer Chunduri

Andrew A. Rawlinson

Alberto Costa Nogueira Jr.

Proceedings of the Euro-Par 2015: Parallel Processing, 2015

Source estimation for wave equations with uncertain parameters.

[BibT_eX]

[DOI]

Sergiy Zhuk

Stephen Moore

Proceedings of the 14th European Control Conference, 2015

2013

Improving training time of Hessian-free optimization for deep neural networks using preconditioning and sampling.

[BibT_eX]

[DOI]

CoRR, 2013

Accelerating Hessian-free optimization for Deep Neural Networks by implicit preconditioning and sampling.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 2013

2011

A Second Order Discretization of Maxwell's Equations in the Quasi-Static Regime on OcTree Grids.

[BibT_eX]

[DOI]