Lior Horesh
Orcid: 0000-0001-6350-0238
According to our database1,
Lior Horesh
authored at least 64 papers
between 2005 and 2024.
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Bibliography
2024
Multi-Function Multi-Way Analog Technology for Sustainable Machine Intelligence Computation.
CoRR, 2024
On the Prospects of Incorporating Large Language Models (LLMs) in Automated Planning and Scheduling (APS).
CoRR, 2024
2023
Numer. Linear Algebra Appl., March, 2023
CoRR, 2023
CoRR, 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Solving Sparse Linear Systems via Flexible GMRES with In-Memory Analog Preconditioning.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2023
Proceedings of the Workshop on Ethics and Trust in Human-AI Collaboration: Socio-Technical Approaches (ETHAICS 2023) co-located with 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023) Macao, 2023
2022
SIGMETRICS Perform. Evaluation Rev., August, 2022
CoRR, 2022
Combining Fast and Slow Thinking for Human-like and Efficient Navigation in Constrained Environments.
CoRR, 2022
Proceedings of the Uncertainty in Artificial Intelligence, 2022
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022
A Stochastic Linearized Augmented Lagrangian Method for Decentralized Bilevel Optimization.
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.
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
Proceedings of the Machine Learning, Optimization, and Data Science, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
2021
Fast Randomized Non-Hermitian Eigensolvers Based on Rational Filtering and Matrix Partitioning.
SIAM J. Sci. Comput., 2021
Dynamic graph and polynomial chaos based models for contact tracing data analysis and optimal testing prescription.
J. Biomed. Informatics, 2021
CoRR, 2021
CoRR, 2021
Solving sparse linear systems with approximate inverse preconditioners on analog devices.
CoRR, 2021
Fast randomized non-Hermitian eigensolver based on rational filtering and matrix partitioning.
CoRR, 2021
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021
Projection techniques to update the truncated SVD of evolving matrices with applications.
Proceedings of the 38th International Conference on Machine Learning, 2021
Training Logical Neural Networks by Primal-Dual Methods for Neuro-Symbolic Reasoning.
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
Solving sparse linear systems with approximate inverse preconditioners on analog devices.
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.
Proceedings of the Thinking Fast and Slow and Other Cognitive Theories in AI, 2021
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.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
CoRR, 2020
Dynamic graph based epidemiological model for COVID-19 contact tracing data analysis and optimal testing prescription.
CoRR, 2020
2019
Communication over Continuous Quantum Secure Dialogue using Einstein-Podolsky-Rosen States.
CoRR, 2019
2018
SIAM/ASA J. Uncertain. Quantification, 2018
2017
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017
2015
Proceedings of the 32nd International Conference on Machine Learning, 2015
Semi-discrete Matrix-Free Formulation of 3D Elastic Full Waveform Inversion Modeling.
Proceedings of the Euro-Par 2015: Parallel Processing, 2015
Proceedings of the 14th European Control Conference, 2015
2013
Improving training time of Hessian-free optimization for deep neural networks using preconditioning and sampling.
CoRR, 2013
Accelerating Hessian-free optimization for Deep Neural Networks by implicit preconditioning and sampling.
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.
SIAM J. Sci. Comput., 2011
2010
Proceedings of the 13th Conference on Information Fusion, 2010
2008
Use of anisotropic modelling in electrical impedance tomography; Description of method and preliminary assessment of utility in imaging brain function in the adult human head.
NeuroImage, 2008
2007
Design of electrodes and current limits for low frequency electrical impedance tomography of the brain.
Medical Biol. Eng. Comput., 2007
2005
Applications of GRID in Clinical Neurophysiology and Electrical Impedance Tomography of Brain Function.
Proceedings of the From Grid to Healthgrid, 2005