| Leveraging Secondary Storage to Simulate Deep 54-qubit Sycamore Circuits E Pednault, JA Gunnels, G Nannicini, L Horesh, R Wisnieff https://arxiv.org/abs/1910.09534, 2019 | 234 | 2019 |
| Pareto-Efficient Quantum Circuit Simulation Using Tensor Contraction Deferral E Pednault, JA Gunnels, G Nannicini, L Horesh, T Magerlein, ... https://arxiv.org/abs/1710.05867, 2017 | 216* | 2017 |
| Multi-frequency electrical impedance tomography (EIT) of the adult human head: initial findings in brain tumours, arteriovenous malformations and chronic stroke, development of … A Romsauerova, A McEwan, L Horesh, R Yerworth, RH Bayford, ... Physiological measurement 27 (5), S147, 2006 | 175 | 2006 |
| Numerical methods for experimental design of large-scale linear ill-posed inverse problems E Haber, L Horesh, L Tenorio Inverse Problems 24 (5), 055012, 2008 | 162 | 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 JFPJ Abascal, SR Arridge, D Atkinson, R Horesh, L Fabrizi, M De Lucia, ... Neuroimage 43 (2), 258-268, 2008 | 156 | 2008 |
| Design and calibration of a compact multi-frequency EIT system for acute stroke imaging A McEwan, A Romsauerova, R Yerworth, L Horesh, R Bayford, D Holder Physiological measurement 27 (5), S199, 2006 | 149 | 2006 |
| Thinking Fast and Slow in AI G Booch, F Fabiano, L Horesh, K Kate, J Lenchner, N Linck, A Loreggia, ... Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21), 2021 | 128 | 2021 |
| Generating accurate finite element meshes for the forward model of the human head in EIT A Tizzard, L Horesh, RJ Yerworth, DS Holder, RH Bayford Physiological measurement 26 (2), S251, 2005 | 112 | 2005 |
| Tensor-tensor algebra for optimal representation and compression of multiway data ME Kilmer, L Horesh, H Avron, E Newman Proceedings of the National Academy of Science (PNAS) 118 (28), e2015851118, 2021 | 109* | 2021 |
| Factors limiting the application of electrical impedance tomography for identification of regional conductivity changes using scalp electrodes during epileptic seizures in humans L Fabrizi, M Sparkes, L Horesh, JFPJ Abascal, A McEwan, RH Bayford, ... Physiological measurement 27 (5), S163, 2006 | 96 | 2006 |
| Numerical methods for the design of large-scale nonlinear discrete ill-posed inverse problems E Haber, L Horesh, L Tenorio Inverse Problems 26 (2), 025002, 2009 | 95 | 2009 |
| Some novel approaches in modelling and image reconstruction for multi-frequency electrical impedance tomography of the human brain L Horesh PQDT-Global, 2006 | 90 | 2006 |
| Diffuse photon propagation in multilayered geometries J Sikora, A Zacharopoulos, A Douiri, M Schweiger, L Horesh, SR Arridge, ... Physics in Medicine & Biology 51 (3), 497, 2006 | 88 | 2006 |
| Design of electrodes and current limits for low frequency electrical impedance tomography of the brain O Gilad, L Horesh, DS Holder Medical & biological engineering & computing 45, 621-633, 2007 | 87 | 2007 |
| Decentralized Policy Gradient Descent Ascent for Safe Multi-Agent Reinforcement Learning S Lu, K Zhang, T Chen, T Baser, L Horesh Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21), 2021 | 75 | 2021 |
| Plansformer: Generating symbolic plans using transformers V Pallagani, B Muppasani, K Murugesan, F Rossi, L Horesh, B Srivastava, ... arXiv preprint arXiv:2212.08681, 2022 | 60 | 2022 |
| Combining data and theory for derivable scientific discovery with AI-Descartes C Cornelio, S Dash, V Austel, TR Josephson, J Goncalves, KL Clarkson, ... Nature Communications 14 (1), 1777, 2023 | 59 | 2023 |
| A second order discretization of Maxwell's equations in the quasi-static regime on OcTree grids L Horesh, E Haber SIAM Journal on Scientific Computing 33 (5), 2805-2822, 2011 | 56 | 2011 |
| Optimal experimental design for the large‐scale nonlinear ill‐posed problem of impedance imaging L Horesh, E Haber, L Tenorio Large‐Scale Inverse Problems and Quantification of Uncertainty, 273-290, 2010 | 55 | 2010 |
| On the prospects of incorporating large language models (LLMs) in automated planning and scheduling (APS) V Pallagani, K Roy, B Muppasani, F Fabiano, A Loreggia, K Murugesan, ... arXiv preprint arXiv:2401.02500, 2024 | 54 | 2024 |
David HolderProfessor of Biophysics and Clinical Neurophysiology, University College LondonZweryfikowany adres z ucl.ac.uk
