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Optimal Importance Sampling via Stochastic Optimal Control for Stochastic Reaction Networks2021 arXiv (Cornell University) preprint Economics, Econometrics and Finance Stochastic processes and financial applications Open access
Chiheb Ben Hammouda, Nadhir Ben Rached, Raul F. Tempone, Sophia Wiechert
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Markov chain Monte Carlo for Bayesian inference of the non-conducting region in intra-atrial reentrant tachycardia2026 arXiv (Cornell University) preprint Mathematics Markov Chains and Monte Carlo Methods Open access
Maarten Volkaerts, Marie Cloet, Hans Dierckx, Piet Claus, Giovanni Samaey
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Automated Importance Sampling via Optimal Control for Stochastic Reaction Networks: A Markovian Projection-based Approach2023 arXiv (Cornell University) preprint Economics, Econometrics and Finance Stochastic processes and financial applications Open access
Chiheb Ben Hammouda, Nadhir Ben Rached, Raul F. Tempone, Sophia Wiechert
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State-dependent Importance Sampling for Estimating Expectations of Functionals of Sums of Independent Random Variables2022 arXiv (Cornell University) preprint Mathematics Markov Chains and Monte Carlo Methods Open access
Eya Ben Amar, Nadhir Ben Rached, Abdul-Lateef Haji-Ali, Raul F. Tempone
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Universality of Classically Trainable, Quantum-Deployed Boson-Sampling Generative Models2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access
Andrii Kurkin, Ulysse Chabaud, Zoltán Kolarovszki, Bence Bakó, Zoltán Zimborás, Vedran Dunjko
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Optimizing Binary and Ternary Neural Network Inference on RRAM Crossbars using CIM-Explorer2025 arXiv (Cornell University) preprint Engineering Advanced Memory and Neural Computing Open access
Rebecca Pelke, José Cubero-Cascante, Nils Bosbach, Niklas Degener, Florian Idrizi, Lennart M. Reimann, +2 more
0citations