Lior Horesh - researchr alias

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Viewing Publication 1 - 32 from 32

2023

2022

Quantum-Inspired Algorithms from Randomized Numerical Linear AlgebraNadiia Chepurko, Kenneth L. Clarkson, Lior Horesh, Honghao Lin, David P. Woodruff. icml 2022: 3879-3900 [doi]

Combining Fast and Slow Thinking for Human-like and Efficient Decisions in Constrained EnvironmentsMarianna Bergamaschi Ganapini, Murray Campbell, Francesco Fabiano, Lior Horesh, Jonathan Lenchner, Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable. nesy 2022: 171-185 [doi]

Thinking Fast and Slow in AI: The Role of MetacognitionMarianna Bergamaschi Ganapini, Murray Campbell, Francesco Fabiano, Lior Horesh, Jon Lenchner, Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable. mod 2023: 502-509 [doi]

On Quantum Algorithms for Random Walks in the Nonnegative Quarter PlaneVasileios Kalantzis, Mark S. Squillante, Shashanka Ubaru, Lior Horesh. sigmetrics, 50(2):42-44, August 2022. [doi]

Decentralized Bilevel Optimization for Personalized Client LearningSongtao Lu, Xiaodong Cui, Mark S. Squillante, Brian Kingsbury, Lior Horesh. icassp 2022: 5543-5547 [doi]

A Stochastic Linearized Augmented Lagrangian Method for Decentralized Bilevel OptimizationSongtao Lu, Siliang Zeng, Xiaodong Cui, Mark S. Squillante, Lior Horesh, Brian Kingsbury, Jia Liu 0002, Mingyi Hong. nips 2022: [doi]

Overcoming Catastrophic Forgetting via Direction-Constrained OptimizationYunfei Teng, Anna Choromanska, Murray Campbell, Songtao Lu, Parikshit Ram, Lior Horesh. pkdd 2023: 675-692 [doi]

Distributed adversarial training to robustify deep neural networks at scaleGaoyuan Zhang, Songtao Lu, Yihua Zhang, Xiangyi Chen, Pin-Yu Chen, Quanfu Fan, Lee Martie, Lior Horesh, Mingyi Hong, Sijia Liu 0001. uai 2022: 2353-2363 [doi]

2021

Thinking Fast and Slow in AIGrady Booch, Francesco Fabiano, Lior Horesh, Kiran Kate, Jonathan Lenchner, Nick Linck, Andrea Loreggia, Keerthiram Murugesan, Nicholas Mattei, Francesca Rossi, Biplav Srivastava. AAAI 2021: 15042-15046 [doi]

Epistemic Planning in a Fast and Slow SettingFrancesco Fabiano, Marianna Bergamaschi Ganapini, Lior Horesh, Andrea Loreggia, Keerthiram Murugesan, Vishal Pallagani, Francesca Rossi, Biplav Srivastava. aaaifs 2023: [doi]

Combining Fast and Slow Thinking for Human-like and Efficient Navigation in Constrained EnvironmentsMarianna Bergamaschi Ganapini, Murray Campbell, Francesco Fabiano, Lior Horesh, Jonathan Lenchner, Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable. aaaifs 2023: [doi]

Sparse Graph Based Sketching for Fast Numerical Linear AlgebraDong Hu, Shashanka Ubaru, Alex Gittens, Kenneth L. Clarkson, Lior Horesh, Vassilis Kalantzis. icassp 2021: 3255-3259 [doi]

Solving sparse linear systems with approximate inverse preconditioners on analog devicesVasileios Kalantzis, Anshul Gupta, Lior Horesh, Tomasz Nowicki, Mark S. Squillante, Chai Wah Wu, Tayfun Gokmen, Haim Avron. hpec 2021: 1-7 [doi]

Projection techniques to update the truncated SVD of evolving matrices with applicationsVasileios Kalantzis, Georgios Kollias, Shashanka Ubaru, Athanasios N. Nikolakopoulos, Lior Horesh, Kenneth L. Clarkson. icml 2021: 5236-5246 [doi]

Fast Randomized Non-Hermitian Eigensolvers Based on Rational Filtering and Matrix PartitioningVassilis Kalantzis, Yuanzhe Xi, Lior Horesh. siamsc, 43(5), 2021. [doi]

Training Logical Neural Networks by Primal-Dual Methods for Neuro-Symbolic ReasoningSongtao Lu, Naweed Khan, Ismail Yunus Akhalwaya, Ryan Riegel, Lior Horesh, Alexander G. Gray. icassp 2021: 5559-5563 [doi]

Decentralized Policy Gradient Descent Ascent for Safe Multi-Agent Reinforcement LearningSongtao Lu, Kaiqing Zhang, Tianyi Chen, Tamer Basar, Lior Horesh. AAAI 2021: 8767-8775 [doi]

Dynamic Graph Convolutional Networks Using the Tensor M-ProductOsman Asif Malik, Shashanka Ubaru, Lior Horesh, Misha E. Kilmer, Haim Avron. sdm 2021: 729-737 [doi]

Dynamic graph and polynomial chaos based models for contact tracing data analysis and optimal testing prescriptionShashanka Ubaru, Lior Horesh, Guy Cohen. jbi, 122:103901, 2021. [doi]

2018

Experimental Design for Nonparametric Correction of Misspecified Dynamical ModelsGal Shulkind, Lior Horesh, Haim Avron. juq, 6(2):880-906, 2018. [doi]

2017

Image classification using local tensor singular value decompositionsElizabeth Newman, Misha Kilmer, Lior Horesh. camsap 2017: 1-5 [doi]

2015

2013

Accelerating Hessian-free optimization for Deep Neural Networks by implicit preconditioning and samplingTara N. Sainath, Lior Horesh, Brian Kingsbury, Aleksandr Y. Aravkin, Bhuvana Ramabhadran. asru 2013: 303-308 [doi]

2011

A Second Order Discretization of Maxwell's Equations in the Quasi-Static Regime on OcTree GridsLior Horesh, Eldad Haber. siamsc, 33(5):2805-2822, 2011. [doi]

2010

Kalman filtering for compressed sensingDimitri Kanevsky, Avishy Carmi, Lior Horesh, Pini Gurfil, Bhuvana Ramabhadran, Tara N. Sainath. fusion 2010: 1-8 [doi]

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 headJuan-Felipe P. J. Abascal, Simon R. Arridge, David Atkinson, Raya Horesh, Lorenzo Fabrizi, Marzia De Lucia, Lior Horesh, Richard H. Bayford, David S. Holder. neuroimage, 43(2):258-268, 2008. [doi]

2005

Applications of GRID in Clinical Neurophysiology and Electrical Impedance Tomography of Brain FunctionJuan Fritschy, Lior Horesh, David S. Holder, Richard H. Bayford. healthgrid 2005: 138-145 [doi]

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2017

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2010

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2005

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