Lior Horesh - RankMe

100 papers A* 9A 3C 3Misc 4Journal 65Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Stable iterative refinement for solving linear systems with inaccurate computation. J. Comput. Appl. Math. Chai Wah Wu, Mark S. Squillante, Vassilis Kalantzis, Lior Horesh
2025	—	`conf`	A Framework For The Iterative Solution of Sparse Linear Systems on Hybrid Architectures Using Homomorphic Encryption. HPEC Lior Horesh, Vassilis Kalantzis, Barry M. Trager, Shashanka Ubaru
2025	J	`jnl`	AI Noether - Bridging the Gap Between Scientific Laws Derived by AI Systems and Canonical Knowledge via Abductive Inference. CoRR Karan Srivastava, Sanjeeb Dash, Ryan Cory-Wright, Barry M. Trager, Lior Horesh
2025	J	`jnl`	Comparing quantum and classical Monte Carlo algorithms for estimating Betti numbers of clique complexes. Quantum Ismail Yunus Akhalwaya, Ahmed Bhayat, Adam Connolly, Steven Herbert, Lior Horesh, Julien Sorci, Shashanka Ubaru
2025	Misc	`conf`	Epigraph Based Multilevel Optimization (EMO) for Enhancing Chain-of-Thought Reasoning Capabilities. ICASSP Songtao Lu, Yanna Ding, Lior Horesh, Jianxi Gao, Malik Magdon-Ismail
2025	—	`conf`	Fast Linear Solvers via AI-Tuned Markov Chain Monte Carlo-based Matrix Inversion. SC Workshops Anton Lebedev, Won Kyung Lee, Soumyadip Ghosh, Olha Ivanyshyn Yaman, Vassilis Kalantzis, Yingdong Lu, Tomasz Nowicki, Shashanka Ubaru, Lior Horesh, Vassil Alexandrov
2025	J	`jnl`	Fast Linear Solvers via AI-Tuned Markov Chain Monte Carlo-based Matrix Inversion. CoRR Anton Lebedev, Won Kyung Lee, Soumyadip Ghosh, Olha Ivanyshyn Yaman, Vassilis Kalantzis, Yingdong Lu, Tomasz Nowicki, Shashanka Ubaru, Lior Horesh, Vassil Alexandrov
2025	J	`jnl`	Finding Clustering Algorithms in the Transformer Architecture. CoRR Kenneth L. Clarkson, Lior Horesh, Takuya Ito, Charlotte Park, Parikshit Ram
2025	J	`jnl`	Language Models Coupled with Metacognition Can Outperform Reasoning Models. CoRR Vedant Khandelwal, Francesca Rossi, Keerthiram Murugesan, Erik Miehling, Murray Campbell, Karthikeyan Natesan Ramamurthy, Lior Horesh
2025	J	`jnl`	Multivariate Trace Estimation Using Quantum State Space Linear Algebra. SIAM J. Matrix Anal. Appl. Liron Mor-Yosef, Shashanka Ubaru, Lior Horesh, Haim Avron
2025	J	`jnl`	On the variance of Schatten Monte Carlo Methods Appl. Lior Horesh, Vasileios Kalantzis, Yingdong Lu, Tomasz Nowicki
2025	—	`conf`	Power iteration with probabilistic updates for systems with heterogeneous performance. HPEC Soumyadip Ghosh, Lior Horesh, Vassilis Kalantzis, Georgios Kollias, Yingdong Lu, Tomasz Nowicki, Shashanka Ubaru
2025	J	`jnl`	Regenerative Ulam-von Neumann Algorithm: An Innovative Markov Chain Monte Carlo Method for Matrix Inversion. SIAM J. Matrix Anal. Appl. Soumyadip Ghosh, Lior Horesh, Vassilis Kalantzis, Yingdong Lu, Tomasz Nowicki
2025	J	`jnl`	Surrogate-based quantification of policy uncertainty in generative flow networks. CoRR Ramón Dineth Nartallo-Kaluarachchi, Robert Manson-Sawko, Shashanka Ubaru, Dongsung Huh, Malgorzata J. Zimon, Lior Horesh, Yoshua Bengio
2025	J	`jnl`	SynPAT: A System for Generating Synthetic Physical Theories with Data. CoRR Jonathan Lenchner, Karan Srivastava, Joao Goncalves, Lior Horesh
2025	J	`jnl`	The Need for Verification in AI-Driven Scientific Discovery. CoRR Cristina Cornelio, Takuya Ito, Ryan Cory-Wright, Sanjeeb Dash, Lior Horesh
2025	J	`jnl`	When is a System Discoverable from Data? Discovery Requires Chaos. CoRR Zakhar Shumaylov, Peter Zaika, Philipp Scholl, Gitta Kutyniok, Lior Horesh, Carola-Bibiane Schönlieb
2024	J	`jnl`	A Rational Filtering Algorithm for Sequences of Shifted Symmetric Linear Systems with Applications to Frequency Response Analysis. SIAM J. Sci. Comput. Anthony P. Austin, Lior Horesh, Vassilis Kalantzis
2024	A	`conf`	Asynchronous Randomized Trace Estimation. AISTATS Vasileios Kalantzis, Shashanka Ubaru, Chai Wah Wu, Georgios Kollias, Lior Horesh
2024	—	`conf`	Counting Triangles of Graphs via Matrix Partitioning. MLSP Georgios Kollias, Vassilis Kalantzis, Lior Horesh, Shashanka Ubaru, Panagiotis A. Traganitis
2024	J	`jnl`	Multi-Function Multi-Way Analog Technology for Sustainable Machine Intelligence Computation. CoRR Vassilis Kalantzis, Mark S. Squillante, Shashanka Ubaru, Tayfun Gokmen, Chai Wah Wu, Anshul Gupta, Haim Avron, Tomasz Nowicki, Malte J. Rasch, O. Murat Onen, Vanessa López-Marrero, Effendi Leobandung, Yasuteru Kohda, Wilfried Haensch, Lior Horesh
2024	J	`jnl`	Multivariate trace estimation using quantum state space linear algebra. CoRR Liron Mor-Yosef, Shashanka Ubaru, Lior Horesh, Haim Avron
2024	J	`jnl`	On The Variance of Schatten CoRR Lior Horesh, Vasileios Kalantzis, Yingdong Lu, Tomasz Nowicki
2024	A*	`conf`	On the Prospects of Incorporating Large Language Models (LLMs) in Automated Planning and Scheduling (APS). ICAPS Vishal Pallagani, Bharath C. Muppasani, Kaushik Roy, Francesco Fabiano, Andrea Loreggia, Keerthiram Murugesan, Biplav Srivastava, Francesca Rossi, Lior Horesh, Amit P. Sheth
2024	J	`jnl`	On the Prospects of Incorporating Large Language Models (LLMs) in Automated Planning and Scheduling (APS). CoRR Vishal Pallagani, Kaushik Roy, Bharath Muppasani, Francesco Fabiano, Andrea Loreggia, Keerthiram Murugesan, Biplav Srivastava, Francesca Rossi, Lior Horesh, Amit P. Sheth
2024	J	`jnl`	Quantifying artificial intelligence through algebraic generalization. CoRR Takuya Ito, Murray Campbell, Lior Horesh, Tim Klinger, Parikshit Ram
2024	J	`jnl`	Randomized linear solvers for computational architectures with straggling workers. CoRR Vassilis Kalantzis, Yuanzhe Xi, Lior Horesh, Yousef Saad
2024	J	`jnl`	Regenerative Ulam-von Neumann Algorithm: An Innovative Markov chain Monte Carlo Method for Matrix Inversion. CoRR Soumyadip Ghosh, Lior Horesh, Vassilis Kalantzis, Yingdong Lu, Tomasz Nowicki
2024	J	`jnl`	Single-pass top- J. Complex Networks Vassilis Kalantzis, Georgios Kollias, Shashanka Ubaru, Naoki Abe, Lior Horesh
2024	J	`jnl`	Stable tensor neural networks for efficient deep learning. Frontiers Big Data Elizabeth Newman, Lior Horesh, Haim Avron, Misha E. Kilmer
2024	A*	`conf`	Topological data analysis on noisy quantum computers. ICLR Ismail Yunus Akhalwaya, Shashanka Ubaru, Kenneth L. Clarkson, Mark S. Squillante, Vishnu Jejjala, Yang-Hui He, Kugendran Naidoo, Vasileios Kalantzis, Lior Horesh
2023	J	`jnl`	AI Hilbert: From Data and Background Knowledge to Automated Scientific Discovery. CoRR Ryan Cory-Wright, Bachir El Khadir, Cristina Cornelio, Sanjeeb Dash, Lior Horesh
2023	J	`jnl`	Enhanced algebraic substructuring for symmetric generalized eigenvalue problems. Numer. Linear Algebra Appl. Vassilis Kalantzis, Lior Horesh
2023	J	`jnl`	Fast and Slow Planning. CoRR Francesco Fabiano, Vishal Pallagani, Marianna Bergamaschi Ganapini, Lior Horesh, Andrea Loreggia, Keerthiram Murugesan, Francesca Rossi, Biplav Srivastava
2023	A*	`conf`	Plansformer Tool: Demonstrating Generation of Symbolic Plans Using Transformers. IJCAI Vishal Pallagani, Bharath Muppasani, Biplav Srivastava, Francesca Rossi, Lior Horesh, Keerthiram Murugesan, Andrea Loreggia, Francesco Fabiano, Rony Joseph, Yathin Kethepalli
2023	—	`ed.`	Proceedings of the Thinking Fast and Slow and Other Cognitive Theories in AI, a AAAI 2022 Fall Symposium, Westin Arlington Gateway in Arlington, Virginia, November 17-19, 2022. TFSOCTAI@AAAI Fall Symposium Marianna Bergamaschi Ganapini, Lior Horesh, Luís C. Lamb, Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Biplav Srivastava, K. Brent Venable
2023	—	`conf`	Solving Sparse Linear Systems via Flexible GMRES with In-Memory Analog Preconditioning. HPEC Vasileios Kalantzis, Mark S. Squillante, Chai Wah Wu, Anshul Gupta, Shashanka Ubaru, Tayfun Gokmen, Lior Horesh
2023	J	`jnl`	Stable iterative refinement algorithms for solving linear systems. CoRR Chai Wah Wu, Mark S. Squillante, Vasileios Kalantzis, Lior Horesh
2023	J	`jnl`	Understanding the Capabilities of Large Language Models for Automated Planning. CoRR Vishal Pallagani, Bharath Muppasani, Keerthiram Murugesan, Francesca Rossi, Biplav Srivastava, Lior Horesh, Francesco Fabiano, Andrea Loreggia
2023	—	`conf`	Value-based Fast and Slow AI Nudging. ETHAICS@IJCAI Marianna Bergamaschi Ganapini, Francesco Fabiano, Lior Horesh, Andrea Loreggia, Nicholas Mattei, Keerthiram Murugesan, Vishal Pallagani, Francesca Rossi, Biplav Srivastava, K. Brent Venable
2023	J	`jnl`	Value-based Fast and Slow AI Nudging. CoRR Marianna Bergamaschi Ganapini, Francesco Fabiano, Lior Horesh, Andrea Loreggia, Nicholas Mattei, Keerthiram Murugesan, Vishal Pallagani, Francesca Rossi, Biplav Srivastava, K. Brent Venable
2022	A*	`conf`	A Stochastic Linearized Augmented Lagrangian Method for Decentralized Bilevel Optimization. NeurIPS Songtao Lu, Siliang Zeng, Xiaodong Cui, Mark S. Squillante, Lior Horesh, Brian Kingsbury, Jia Liu, Mingyi Hong
2022	J	`jnl`	Bayesian Experimental Design for Symbolic Discovery. CoRR Kenneth L. Clarkson, Cristina Cornelio, Sanjeeb Dash, Joao Goncalves, Lior Horesh, Nimrod Megiddo
2022	C	`conf`	Combining Fast and Slow Thinking for Human-like and Efficient Decisions in Constrained Environments. NeSy Marianna Bergamaschi Ganapini, Murray Campbell, Francesco Fabiano, Lior Horesh, Jonathan Lenchner, Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Biplav Srivastava, K. Brent Venable
2022	J	`jnl`	Combining Fast and Slow Thinking for Human-like and Efficient Navigation in Constrained Environments. CoRR Marianna Bergamaschi Ganapini, Murray Campbell, Francesco Fabiano, Lior Horesh, Jon Lenchner, Andrea Loreggia, Nicholas Mattei, Taher Rahgooy, Francesca Rossi, Biplav Srivastava, K. Brent Venable
2022	J	`jnl`	Creating quantum-resistant classical-classical OWFs from quantum-classical OWFs. CoRR Wei Zheng Teo, Marco Carmosino, Lior Horesh
2022	Misc	`conf`	Decentralized Bilevel Optimization for Personalized Client Learning. ICASSP Songtao Lu, Xiaodong Cui, Mark S. Squillante, Brian Kingsbury, Lior Horesh
2022	J	`jnl`	Distributed Adversarial Training to Robustify Deep Neural Networks at Scale. CoRR Gaoyuan Zhang, Songtao Lu, Yihua Zhang, Xiangyi Chen, Pin-Yu Chen, Quanfu Fan, Lee Martie, Lior Horesh, Mingyi Hong, Sijia Liu
2022	A	`conf`	Distributed adversarial training to robustify deep neural networks at scale. UAI Gaoyuan Zhang, Songtao Lu, Yihua Zhang, Xiangyi Chen, Pin-Yu Chen, Quanfu Fan, Lee Martie, Lior Horesh, Mingyi Hong, Sijia Liu
2022	J	`jnl`	Efficient Quantum Computation of the Fermionic Boundary Operator. CoRR Ismail Yunus Akhalwaya, Yang-Hui He, Lior Horesh, Vishnu Jejjala, William Kirby, Kugendran Naidoo, Shashanka Ubaru
2022	J	`jnl`	From String Detection to Orthogonal Vector Problem. CoRR Yunhao Wang, Tianyuan Zheng, Lior Horesh
2022	J	`jnl`	On Quantum Algorithms for Random Walks in the Nonnegative Quarter Plane. SIGMETRICS Perform. Evaluation Rev. Vasileios Kalantzis, Mark S. Squillante, Shashanka Ubaru, Lior Horesh
2022	—	`conf`	Overcoming Catastrophic Forgetting via Direction-Constrained Optimization. ECML/PKDD (1) Yunfei Teng, Anna Choromanska, Murray Campbell, Songtao Lu, Parikshit Ram, Lior Horesh
2022	J	`jnl`	PCENet: High Dimensional Surrogate Modeling for Learning Uncertainty. CoRR Paz Fink Shustin, Shashanka Ubaru, Vasileios Kalantzis, Lior Horesh, Haim Avron
2022	J	`jnl`	Plansformer: Generating Symbolic Plans using Transformers. CoRR Vishal Pallagani, Bharath Muppasani, Keerthiram Murugesan, Francesca Rossi, Lior Horesh, Biplav Srivastava, Francesco Fabiano, Andrea Loreggia
2022	A*	`conf`	Quantum-Inspired Algorithms from Randomized Numerical Linear Algebra. ICML Nadiia Chepurko, Kenneth L. Clarkson, Lior Horesh, Honghao Lin, David P. Woodruff
2022	—	`conf`	Thinking Fast and Slow in AI: The Role of Metacognition. LOD (2) Marianna Bergamaschi Ganapini, Murray Campbell, Francesco Fabiano, Lior Horesh, Jon Lenchner, Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable
2022	J	`jnl`	Towards Quantum Advantage on Noisy Quantum Computers. CoRR Ismail Yunus Akhalwaya, Shashanka Ubaru, Kenneth L. Clarkson, Mark S. Squillante, Vishnu Jejjala, Yang-Hui He, Kugendran Naidoo, Vasileios Kalantzis, Lior Horesh
2021	—	`conf`	Combining Fast and Slow Thinking for Human-like and Efficient Navigation in Constrained Environments. TFSOCTAI@AAAI Fall Symposium Marianna Bergamaschi Ganapini, Murray Campbell, Francesco Fabiano, Lior Horesh, Jonathan Lenchner, Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Biplav Srivastava, K. Brent Venable
2021	A*	`conf`	Decentralized Policy Gradient Descent Ascent for Safe Multi-Agent Reinforcement Learning. AAAI Songtao Lu, Kaiqing Zhang, Tianyi Chen, Tamer Basar, Lior Horesh
2021	A	`conf`	Dynamic Graph Convolutional Networks Using the Tensor M-Product. SDM Osman Asif Malik, Shashanka Ubaru, Lior Horesh, Misha E. Kilmer, Haim Avron
2021	J	`jnl`	Dynamic graph and polynomial chaos based models for contact tracing data analysis and optimal testing prescription. J. Biomed. Informatics Shashanka Ubaru, Lior Horesh, Guy Cohen
2021	J	`jnl`	E-PDDL: A Standardized Way of Defining Epistemic Planning Problems. CoRR Francesco Fabiano, Biplav Srivastava, Jonathan Lenchner, Lior Horesh, Francesca Rossi, Marianna Bergamaschi Ganapini
2021	—	`conf`	Epistemic Planning in a Fast and Slow Setting. TFSOCTAI@AAAI Fall Symposium Francesco Fabiano, Marianna Bergamaschi Ganapini, Lior Horesh, Andrea Loreggia, Keerthiram Murugesan, Vishal Pallagani, Francesca Rossi, Biplav Srivastava
2021	J	`jnl`	Fast Randomized Non-Hermitian Eigensolvers Based on Rational Filtering and Matrix Partitioning. SIAM J. Sci. Comput. Vassilis Kalantzis, Yuanzhe Xi, Lior Horesh
2021	J	`jnl`	Fast randomized non-Hermitian eigensolver based on rational filtering and matrix partitioning. CoRR Vassilis Kalantzis, Yuanzhe Xi, Lior Horesh
2021	J	`jnl`	Integration of Data and Theory for Accelerated Derivable Symbolic Discovery. CoRR Cristina Cornelio, Sanjeeb Dash, Vernon Austel, Tyler R. Josephson, Joao Goncalves, Kenneth L. Clarkson, Nimrod Megiddo, Bachir El Khadir, Lior Horesh
2021	A*	`conf`	Projection techniques to update the truncated SVD of evolving matrices with applications. ICML Vasileios Kalantzis, Georgios Kollias, Shashanka Ubaru, Athanasios N. Nikolakopoulos, Lior Horesh, Kenneth L. Clarkson
2021	J	`jnl`	Quantum Topological Data Analysis with Linear Depth and Exponential Speedup. CoRR Shashanka Ubaru, Ismail Yunus Akhalwaya, Mark S. Squillante, Kenneth L. Clarkson, Lior Horesh
2021	—	`conf`	Solving sparse linear systems with approximate inverse preconditioners on analog devices. HPEC Vasileios Kalantzis, Anshul Gupta, Lior Horesh, Tomasz Nowicki, Mark S. Squillante, Chai Wah Wu, Tayfun Gokmen, Haim Avron
2021	J	`jnl`	Solving sparse linear systems with approximate inverse preconditioners on analog devices. CoRR Vasileios Kalantzis, Anshul Gupta, Lior Horesh, Tomasz Nowicki, Mark S. Squillante, Chai Wah Wu
2021	Misc	`conf`	Sparse Graph Based Sketching for Fast Numerical Linear Algebra. ICASSP Dong Hu, Shashanka Ubaru, Alex Gittens, Kenneth L. Clarkson, Lior Horesh, Vassilis Kalantzis
2021	J	`jnl`	Sparse graph based sketching for fast numerical linear algebra. CoRR Dong Hu, Shashanka Ubaru, Alex Gittens, Kenneth L. Clarkson, Lior Horesh, Vassilis Kalantzis
2021	A*	`conf`	Thinking Fast and Slow in AI. AAAI Grady Booch, Francesco Fabiano, Lior Horesh, Kiran Kate, Jonathan Lenchner, Nick Linck, Andrea Loreggia, Keerthiram Murugesan, Nicholas Mattei, Francesca Rossi, Biplav Srivastava
2021	J	`jnl`	Thinking Fast and Slow in AI: the Role of Metacognition. CoRR Marianna Bergamaschi Ganapini, Murray Campbell, Francesco Fabiano, Lior Horesh, Jon Lenchner, Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Biplav Srivastava, K. Brent Venable
2021	Misc	`conf`	Training Logical Neural Networks by Primal-Dual Methods for Neuro-Symbolic Reasoning. ICASSP Songtao Lu, Naweed Khan, Ismail Yunus Akhalwaya, Ryan Riegel, Lior Horesh, Alexander G. Gray
2020	J	`jnl`	Denoising quantum states with Quantum Autoencoders - Theory and Applications. CoRR Tom Achache, Lior Horesh, John A. Smolin
2020	J	`jnl`	Dynamic graph based epidemiological model for COVID-19 contact tracing data analysis and optimal testing prescription. CoRR Shashanka Ubaru, Lior Horesh, Guy Cohen
2020	J	`jnl`	Projection techniques to update the truncated SVD of evolving matrices. CoRR Vassilis Kalantzis, Georgios Kollias, Shashanka Ubaru, Athanasios N. Nikolakopoulos, Lior Horesh, Kenneth L. Clarkson
2020	J	`jnl`	Quantum-Inspired Algorithms from Randomized Numerical Linear Algebra. CoRR Nadiia Chepurko, Kenneth L. Clarkson, Lior Horesh, David P. Woodruff
2020	J	`jnl`	Symbolic Regression using Mixed-Integer Nonlinear Optimization. CoRR Vernon Austel, Cristina Cornelio, Sanjeeb Dash, Joao Goncalves, Lior Horesh, Tyler R. Josephson, Nimrod Megiddo
2020	J	`jnl`	Tensor-Tensor Products for Optimal Representation and Compression. CoRR Misha E. Kilmer, Lior Horesh, Haim Avron, Elizabeth Newman
2020	J	`jnl`	Thinking Fast and Slow in AI. CoRR Grady Booch, Francesco Fabiano, Lior Horesh, Kiran Kate, Jon Lenchner, Nick Linck, Andrea Loreggia, Keerthiram Murugesan, Nicholas Mattei, Francesca Rossi, Biplav Srivastava
2019	J	`jnl`	Communication over Continuous Quantum Secure Dialogue using Einstein-Podolsky-Rosen States. CoRR Shaokai Lin, Zichuan Wang, Lior Horesh
2019	J	`jnl`	Recurrent Neural Networks in the Eye of Differential Equations. CoRR Murphy Yuezhen Niu, Lior Horesh, Isaac L. Chuang
2019	J	`jnl`	Tensor Graph Convolutional Networks for Prediction on Dynamic Graphs. CoRR Osman Asif Malik, Shashanka Ubaru, Lior Horesh, Misha E. Kilmer, Haim Avron
2018	J	`jnl`	Experimental Design for Nonparametric Correction of Misspecified Dynamical Models. SIAM/ASA J. Uncertain. Quantification Gal Shulkind, Lior Horesh, Haim Avron
2018	J	`jnl`	Stable Tensor Neural Networks for Rapid Deep Learning. CoRR Elizabeth Newman, Lior Horesh, Haim Avron, Misha E. Kilmer
2017	—	`conf`	Image classification using local tensor singular value decompositions. CAMSAP Elizabeth Newman, Misha E. Kilmer, Lior Horesh
2017	J	`jnl`	Image classification using local tensor singular value decompositions. CoRR Elizabeth Newman, Misha E. Kilmer, Lior Horesh
2015	A*	`conf`	Community Detection Using Time-Dependent Personalized PageRank. ICML Haim Avron, Lior Horesh
2015	—	`conf`	Semi-discrete Matrix-Free Formulation of 3D Elastic Full Waveform Inversion Modeling. Euro-Par 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
2015	—	`conf`	Source estimation for wave equations with uncertain parameters. ECC Sergiy Zhuk, Stephen Moore, Alberto Costa Nogueira Jr., Andrew A. Rawlinson, Tigran T. Tchrakian, Lior Horesh, Aleksandr Y. Aravkin, Albert Akhriev
2013	C	`conf`	Accelerating Hessian-free optimization for Deep Neural Networks by implicit preconditioning and sampling. ASRU Tara N. Sainath, Lior Horesh, Brian Kingsbury, Aleksandr Y. Aravkin, Bhuvana Ramabhadran
2013	J	`jnl`	Improving training time of Hessian-free optimization for deep neural networks using preconditioning and sampling. CoRR Tara N. Sainath, Lior Horesh, Brian Kingsbury, Aleksandr Y. Aravkin, Bhuvana Ramabhadran
2011	J	`jnl`	A Second Order Discretization of Maxwell's Equations in the Quasi-Static Regime on OcTree Grids. SIAM J. Sci. Comput. Lior Horesh, Eldad Haber
2010	C	`conf`	Kalman filtering for compressed sensing. FUSION Dimitri Kanevsky, Avishy Carmi, Lior Horesh, Pini Gurfil, Bhuvana Ramabhadran, Tara N. Sainath
2008	J	`jnl`	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 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
2007	J	`jnl`	Design of electrodes and current limits for low frequency electrical impedance tomography of the brain. Medical Biol. Eng. Comput. O. Gilad, Lior Horesh, David S. Holder
2005	—	`conf`	Applications of GRID in Clinical Neurophysiology and Electrical Impedance Tomography of Brain Function. HealthGrid Juan Fritschy, Lior Horesh, David S. Holder, Richard H. Bayford