Lior Horesh

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 67

Top Topics

Augmented Lagrangian

Symbolic Reasoning

Top Venues

TFSOCTAI@AAAI Fall Symposium

Publications

Vassilis Kalantzis, Yuanzhe Xi, Lior Horesh, Yousef Saad
Randomized linear solvers for computational architectures with straggling workers. CoRR (2024)
Soumyadip Ghosh, Lior Horesh, Vassilis Kalantzis, Yingdong Lu, Tomasz Nowicki
Regenerative Ulam-von Neumann Algorithm: An Innovative Markov chain Monte Carlo Method for Matrix Inversion. CoRR (2024)
Vishal Pallagani, Kaushik Roy, Bharath Muppasani, Francesco Fabiano, Andrea Loreggia, Keerthiram Murugesan, Biplav Srivastava, Francesca Rossi, Lior Horesh, Amit P. Sheth
On the Prospects of Incorporating Large Language Models (LLMs) in Automated Planning and Scheduling (APS). CoRR (2024)
Ismail Yunus Akhalwaya, Shashanka Ubaru, Kenneth L. Clarkson, Mark S. Squillante, Vishnu Jejjala, Yang-Hui He, Kugendran Naidoo, Vasileios Kalantzis, Lior Horesh
Topological data analysis on noisy quantum computers. ICLR (2024)
Vasileios Kalantzis, Shashanka Ubaru, Chai Wah Wu, Georgios Kollias, Lior Horesh
Asynchronous Randomized Trace Estimation. AISTATS (2024)
Vishal Pallagani, Bharath C. Muppasani, Kaushik Roy, Francesco Fabiano, Andrea Loreggia, Keerthiram Murugesan, Biplav Srivastava, Francesca Rossi, Lior Horesh, Amit P. Sheth
On the Prospects of Incorporating Large Language Models (LLMs) in Automated Planning and Scheduling (APS). ICAPS (2024)
Vassilis Kalantzis, Mark S. Squillante, Shashanka Ubaru, Tayfun Gokmen, Chai Wah Wu, Anshul Gupta, Haim Avron, Tomasz Nowicki, Malte J. Rasch, Murat Onen, Vanessa López-Marrero, Effendi Leobandung, Yasuteru Kohda, Wilfried Haensch, Lior Horesh
Multi-Function Multi-Way Analog Technology for Sustainable Machine Intelligence Computation. CoRR (2024)
Liron Mor-Yosef, Shashanka Ubaru, Lior Horesh, Haim Avron
Multivariate trace estimation using quantum state space linear algebra. CoRR (2024)
Elizabeth Newman, Lior Horesh, Haim Avron, Misha E. Kilmer
Stable tensor neural networks for efficient deep learning. Frontiers Big Data 7 (2024)
Chai Wah Wu, Mark S. Squillante, Vasileios Kalantzis, Lior Horesh
Stable iterative refinement algorithms for solving linear systems. CoRR (2023)
Vishal Pallagani, Bharath Muppasani, Keerthiram Murugesan, Francesca Rossi, Biplav Srivastava, Lior Horesh, Francesco Fabiano, Andrea Loreggia
Understanding the Capabilities of Large Language Models for Automated Planning. CoRR (2023)
Marianna Bergamaschi Ganapini, Francesco Fabiano, Lior Horesh, Andrea Loreggia, Nicholas Mattei, Keerthiram Murugesan, Vishal Pallagani, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable
Value-based Fast and Slow AI Nudging. ETHAICS@IJCAI (2023)
Vishal Pallagani, Bharath Muppasani, Biplav Srivastava, Francesca Rossi, Lior Horesh, Keerthiram Murugesan, Andrea Loreggia, Francesco Fabiano, Rony Joseph, Yathin Kethepalli
Plansformer Tool: Demonstrating Generation of Symbolic Plans Using Transformers. IJCAI (2023)
Ryan Cory-Wright, Bachir El Khadir, Cristina Cornelio, Sanjeeb Dash, Lior Horesh
AI Hilbert: From Data and Background Knowledge to Automated Scientific Discovery. CoRR (2023)
Marianna Bergamaschi Ganapini, Francesco Fabiano, Lior Horesh, Andrea Loreggia, Nicholas Mattei, Keerthiram Murugesan, Vishal Pallagani, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable
Value-based Fast and Slow AI Nudging. CoRR (2023)
Vassilis Kalantzis, Lior Horesh
Enhanced algebraic substructuring for symmetric generalized eigenvalue problems. Numer. Linear Algebra Appl. 30 (2) (2023)
Francesco Fabiano, Vishal Pallagani, Marianna Bergamaschi Ganapini, Lior Horesh, Andrea Loreggia, Keerthiram Murugesan, Francesca Rossi, Biplav Srivastava
Fast and Slow Planning. CoRR (2023)
Vasileios Kalantzis, Mark S. Squillante, Chai Wah Wu, Anshul Gupta, Shashanka Ubaru, Tayfun Gokmen, Lior Horesh
Solving Sparse Linear Systems via Flexible GMRES with In-Memory Analog Preconditioning. HPEC (2023)
Ismail Yunus Akhalwaya, Yang-Hui He, Lior Horesh, Vishnu Jejjala, William Kirby, Kugendran Naidoo, Shashanka Ubaru
Efficient Quantum Computation of the Fermionic Boundary Operator. CoRR (2022)
Ismail Yunus Akhalwaya, Shashanka Ubaru, Kenneth L. Clarkson, Mark S. Squillante, Vishnu Jejjala, Yang-Hui He, Kugendran Naidoo, Vasileios Kalantzis, Lior Horesh
Towards Quantum Advantage on Noisy Quantum Computers. CoRR (2022)
Paz Fink Shustin, Shashanka Ubaru, Vasileios Kalantzis, Lior Horesh, Haim Avron
PCENet: High Dimensional Surrogate Modeling for Learning Uncertainty. CoRR (2022)
Yunfei Teng, Anna Choromanska, Murray Campbell, Songtao Lu, Parikshit Ram, Lior Horesh
Overcoming Catastrophic Forgetting via Direction-Constrained Optimization. ECML/PKDD (1) (2022)
Kenneth L. Clarkson, Cristina Cornelio, Sanjeeb Dash, Joao Goncalves, Lior Horesh, Nimrod Megiddo
Bayesian Experimental Design for Symbolic Discovery. CoRR (2022)
Marianna Bergamaschi Ganapini, Murray Campbell, Francesco Fabiano, Lior Horesh, Jonathan Lenchner, Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable
Combining Fast and Slow Thinking for Human-like and Efficient Decisions in Constrained Environments. NeSy (2022)
Marianna Bergamaschi Ganapini, Murray Campbell, Francesco Fabiano, Lior Horesh, Jon Lenchner, Andrea Loreggia, Nicholas Mattei, Taher Rahgooy, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable
Combining Fast and Slow Thinking for Human-like and Efficient Navigation in Constrained Environments. CoRR (2022)
Vasileios Kalantzis, Mark S. Squillante, Shashanka Ubaru, Lior Horesh
On Quantum Algorithms for Random Walks in the Nonnegative Quarter Plane. SIGMETRICS Perform. Evaluation Rev. 50 (2) (2022)
Yunhao Wang, Tianyuan Zheng, Lior Horesh
From String Detection to Orthogonal Vector Problem. CoRR (2022)
Songtao Lu, Xiaodong Cui, Mark S. Squillante, Brian Kingsbury, Lior Horesh
Decentralized Bilevel Optimization for Personalized Client Learning. ICASSP (2022)
Vishal Pallagani, Bharath Muppasani, Keerthiram Murugesan, Francesca Rossi, Lior Horesh, Biplav Srivastava, Francesco Fabiano, Andrea Loreggia
Plansformer: Generating Symbolic Plans using Transformers. CoRR (2022)
Nadiia Chepurko, Kenneth L. Clarkson, Lior Horesh, Honghao Lin, David P. Woodruff
Quantum-Inspired Algorithms from Randomized Numerical Linear Algebra. ICML (2022)
Songtao Lu, Siliang Zeng, Xiaodong Cui, Mark S. Squillante, Lior Horesh, Brian Kingsbury, Jia Liu, Mingyi Hong
A Stochastic Linearized Augmented Lagrangian Method for Decentralized Bilevel Optimization. NeurIPS (2022)
Gaoyuan Zhang, Songtao Lu, Yihua Zhang, Xiangyi Chen, Pin-Yu Chen, Quanfu Fan, Lee Martie, Lior Horesh, Mingyi Hong, Sijia Liu
Distributed Adversarial Training to Robustify Deep Neural Networks at Scale. CoRR (2022)
Wei Zheng Teo, Marco Carmosino, Lior Horesh
Creating quantum-resistant classical-classical OWFs from quantum-classical OWFs. CoRR (2022)
Marianna Bergamaschi Ganapini, Murray Campbell, Francesco Fabiano, Lior Horesh, Jon Lenchner, Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable
Thinking Fast and Slow in AI: The Role of Metacognition. LOD (2) (2022)
Gaoyuan Zhang, Songtao Lu, Yihua Zhang, Xiangyi Chen, Pin-Yu Chen, Quanfu Fan, Lee Martie, Lior Horesh, Mingyi Hong, Sijia Liu
Distributed adversarial training to robustify deep neural networks at scale. UAI (2022)
Francesco Fabiano, Marianna Bergamaschi Ganapini, Lior Horesh, Andrea Loreggia, Keerthiram Murugesan, Vishal Pallagani, Francesca Rossi, Biplav Srivastava
Epistemic Planning in a Fast and Slow Setting. TFSOCTAI@AAAI Fall Symposium (2021)
Dong Hu, Shashanka Ubaru, Alex Gittens, Kenneth L. Clarkson, Lior Horesh, Vassilis Kalantzis
Sparse Graph Based Sketching for Fast Numerical Linear Algebra. ICASSP (2021)
Marianna Bergamaschi Ganapini, Murray Campbell, Francesco Fabiano, Lior Horesh, Jon Lenchner, Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable
Thinking Fast and Slow in AI: the Role of Metacognition. CoRR (2021)
Songtao Lu, Naweed Khan, Ismail Yunus Akhalwaya, Ryan Riegel, Lior Horesh, Alexander G. Gray
Training Logical Neural Networks by Primal-Dual Methods for Neuro-Symbolic Reasoning. ICASSP (2021)
Shashanka Ubaru, Lior Horesh, Guy Cohen
Dynamic graph and polynomial chaos based models for contact tracing data analysis and optimal testing prescription. J. Biomed. Informatics 122 (2021)
Osman Asif Malik, Shashanka Ubaru, Lior Horesh, Misha E. Kilmer, Haim Avron
Dynamic Graph Convolutional Networks Using the Tensor M-Product. SDM (2021)
Vassilis Kalantzis, Yuanzhe Xi, Lior Horesh
Fast Randomized Non-Hermitian Eigensolvers Based on Rational Filtering and Matrix Partitioning. SIAM J. Sci. Comput. 43 (5) (2021)
Shashanka Ubaru, Ismail Yunus Akhalwaya, Mark S. Squillante, Kenneth L. Clarkson, Lior Horesh
Quantum Topological Data Analysis with Linear Depth and Exponential Speedup. CoRR (2021)
Marianna Bergamaschi Ganapini, Murray Campbell, Francesco Fabiano, Lior Horesh, Jonathan Lenchner, Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable
Combining Fast and Slow Thinking for Human-like and Efficient Navigation in Constrained Environments. TFSOCTAI@AAAI Fall Symposium (2021)
Songtao Lu, Kaiqing Zhang, Tianyi Chen, Tamer Basar, Lior Horesh
Decentralized Policy Gradient Descent Ascent for Safe Multi-Agent Reinforcement Learning. AAAI (2021)
Cristina Cornelio, Sanjeeb Dash, Vernon Austel, Tyler R. Josephson, Joao Goncalves, Kenneth L. Clarkson, Nimrod Megiddo, Bachir El Khadir, Lior Horesh
Integration of Data and Theory for Accelerated Derivable Symbolic Discovery. CoRR (2021)
Francesco Fabiano, Biplav Srivastava, Jonathan Lenchner, Lior Horesh, Francesca Rossi, Marianna Bergamaschi Ganapini
E-PDDL: A Standardized Way of Defining Epistemic Planning Problems. CoRR (2021)
Vasileios Kalantzis, Anshul Gupta, Lior Horesh, Tomasz Nowicki, Mark S. Squillante, Chai Wah Wu
Solving sparse linear systems with approximate inverse preconditioners on analog devices. CoRR (2021)
Vassilis Kalantzis, Yuanzhe Xi, Lior Horesh
Fast randomized non-Hermitian eigensolver based on rational filtering and matrix partitioning. CoRR (2021)
Vasileios Kalantzis, Anshul Gupta, Lior Horesh, Tomasz Nowicki, Mark S. Squillante, Chai Wah Wu, Tayfun Gokmen, Haim Avron
Solving sparse linear systems with approximate inverse preconditioners on analog devices. HPEC (2021)
Vasileios Kalantzis, Georgios Kollias, Shashanka Ubaru, Athanasios N. Nikolakopoulos, Lior Horesh, Kenneth L. Clarkson
Projection techniques to update the truncated SVD of evolving matrices with applications. ICML (2021)
Grady Booch, Francesco Fabiano, Lior Horesh, Kiran Kate, Jonathan Lenchner, Nick Linck, Andrea Loreggia, Keerthiram Murugesan, Nicholas Mattei, Francesca Rossi, Biplav Srivastava
Thinking Fast and Slow in AI. AAAI (2021)
Dong Hu, Shashanka Ubaru, Alex Gittens, Kenneth L. Clarkson, Lior Horesh, Vassilis Kalantzis
Sparse graph based sketching for fast numerical linear algebra. CoRR (2021)
Misha E. Kilmer, Lior Horesh, Haim Avron, Elizabeth Newman
Tensor-Tensor Products for Optimal Representation and Compression. CoRR (2020)
Grady Booch, Francesco Fabiano, Lior Horesh, Kiran Kate, Jon Lenchner, Nick Linck, Andrea Loreggia, Keerthiram Murugesan, Nicholas Mattei, Francesca Rossi, Biplav Srivastava
Thinking Fast and Slow in AI. CoRR (2020)
Nadiia Chepurko, Kenneth L. Clarkson, Lior Horesh, David P. Woodruff
Quantum-Inspired Algorithms from Randomized Numerical Linear Algebra. CoRR (2020)
Vernon Austel, Cristina Cornelio, Sanjeeb Dash, Joao Goncalves, Lior Horesh, Tyler R. Josephson, Nimrod Megiddo
Symbolic Regression using Mixed-Integer Nonlinear Optimization. CoRR (2020)
Shashanka Ubaru, Lior Horesh, Guy Cohen
Dynamic graph based epidemiological model for COVID-19 contact tracing data analysis and optimal testing prescription. CoRR (2020)
Vassilis Kalantzis, Georgios Kollias, Shashanka Ubaru, Athanasios N. Nikolakopoulos, Lior Horesh, Kenneth L. Clarkson
Projection techniques to update the truncated SVD of evolving matrices. CoRR (2020)
Tom Achache, Lior Horesh, John A. Smolin
Denoising quantum states with Quantum Autoencoders - Theory and Applications. CoRR (2020)
Murphy Yuezhen Niu, Lior Horesh, Isaac Chuang
Recurrent Neural Networks in the Eye of Differential Equations. CoRR (2019)
Osman Asif Malik, Shashanka Ubaru, Lior Horesh, Misha E. Kilmer, Haim Avron
Tensor Graph Convolutional Networks for Prediction on Dynamic Graphs. CoRR (2019)
Shaokai Lin, Zichuan Wang, Lior Horesh
Communication over Continuous Quantum Secure Dialogue using Einstein-Podolsky-Rosen States. CoRR (2019)
Elizabeth Newman, Lior Horesh, Haim Avron, Misha E. Kilmer
Stable Tensor Neural Networks for Rapid Deep Learning. CoRR (2018)
Gal Shulkind, Lior Horesh, Haim Avron
Experimental Design for Nonparametric Correction of Misspecified Dynamical Models. SIAM/ASA J. Uncertain. Quantification 6 (2) (2018)
Elizabeth Newman, Misha E. Kilmer, Lior Horesh
Image classification using local tensor singular value decompositions. CAMSAP (2017)
Elizabeth Newman, Misha E. Kilmer, Lior Horesh
Image classification using local tensor singular value decompositions. CoRR (2017)
Haim Avron, Lior Horesh
Community Detection Using Time-Dependent Personalized PageRank. ICML (2015)
Stephen Moore, Devi Sudheer Chunduri, Sergiy Zhuk, Tigran T. Tchrakian, Ewout van den Berg, Albert Akhriev, Alberto Costa Nogueira Jr., Andrew A. Rawlinson, Lior Horesh
Semi-discrete Matrix-Free Formulation of 3D Elastic Full Waveform Inversion Modeling. Euro-Par (2015)
Sergiy Zhuk, Stephen Moore, Alberto Costa Nogueira Jr., Andrew A. Rawlinson, Tigran T. Tchrakian, Lior Horesh, Aleksandr Y. Aravkin, Albert Akhriev
Source estimation for wave equations with uncertain parameters. ECC (2015)
Tara N. Sainath, Lior Horesh, Brian Kingsbury, Aleksandr Y. Aravkin, Bhuvana Ramabhadran
Improving training time of Hessian-free optimization for deep neural networks using preconditioning and sampling. CoRR (2013)
Tara N. Sainath, Lior Horesh, Brian Kingsbury, Aleksandr Y. Aravkin, Bhuvana Ramabhadran
Accelerating Hessian-free optimization for Deep Neural Networks by implicit preconditioning and sampling. ASRU (2013)
Lior Horesh, Eldad Haber
A Second Order Discretization of Maxwell's Equations in the Quasi-Static Regime on OcTree Grids. SIAM J. Sci. Comput. 33 (5) (2011)
Dimitri Kanevsky, Avishy Carmi, Lior Horesh, Pini Gurfil, Bhuvana Ramabhadran, Tara N. Sainath
Kalman filtering for compressed sensing. FUSION (2010)
Juan-Felipe P. J. Abascal, Simon R. Arridge, David Atkinson, Raya Horesh, Lorenzo Fabrizi, Marzia De Lucia, Lior Horesh, Richard H. Bayford, David S. Holder
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 43 (2) (2008)
O. Gilad, Lior Horesh, David S. Holder
Design of electrodes and current limits for low frequency electrical impedance tomography of the brain. Medical Biol. Eng. Comput. 45 (7) (2007)
Juan Fritschy, Lior Horesh, David S. Holder, Richard H. Bayford
Applications of GRID in Clinical Neurophysiology and Electrical Impedance Tomography of Brain Function. HealthGrid (2005)