Publications related to Non-uniform random variate generation

Secondary structure of the human mitochondrial genome affects formation of deletions

BackgroundAging in postmitotic tissues is associated with clonal expansion of somatic mitochondrial deletions, the origin of which is not well understood. Such deletions are often flanked by direct nucleotide repeats, but this alone does not fully explain ...

BMC2023

Chaotic microcomb-based parallel ranging

Tobias Kippenberg, Aleksandr Tusnin, Junqiu Liu, Anton Lukashchuk

The intrinsic random amplitude and phase modulation of 40 distinct lines of a microresonator frequency comb operated in the modulation instability regime are used to realize massively parallel random-modulation continuous-wave light detection and ranging, ...

NATURE PORTFOLIO2023

Microchannel cooling for the LHCb VELO Upgrade I

Alessandro Mapelli, Giulia Romagnoli, Victor Coco

The LHCb VELO Upgrade I, currently being installed for the 2022 start of LHC Run 3, uses silicon microchannel coolers with internally circulating bi-phase CO2 for thermal control of hybrid pixel modules operating in vacuum. This is the largest scale applic ...

ELSEVIER2022

Distributionally Robust Optimization with Markovian Data

Daniel Kuhn, Mengmeng Li, Tobias Sutter

We study a stochastic program where the probability distribution of the uncertain problem parameters is unknown and only indirectly observed via finitely many correlated samples generated by an unknown Markov chain with d states. We propose a data-driven d ...

2021

Iron incorporation in synthetic precipitated calcium silicate hydrates

David Lyndon Emsley, Paul Bowen, Brennan James Walder, Jirawan Siramanont

Effect of Fe3+ on the precipitation of synthetic calcium silicate hydrates (C-S-H) under controlled conditions has been evaluated. Using extremely basic either initial calcium nitrate or sodium silicate solutions (pH > 11), incipient formation of ferrihydr ...

2021

Neural Design Space Exploration

Pierre Dillenbourg, Richard Lee Davis, Kevin Gonyop Kim, Wei Jiang

We have developed a new tool that makes it possible for people with zero programming experience to intentionally and meaningfully explore the latent space of a GAN. This tool was developed to provide a means for designers to explore the "design space" of t ...

2021

CPGD: Cadzow Plug-and-Play Gradient Descent for Generalised FRI

Martin Vetterli, Paul Hurley, Matthieu Martin Jean-André Simeoni, Adrien Georges Jean Besson

Finite rate of innovation (FRI) is a powerful reconstruction framework enabling the recovery of sparse Dirac streams from uniform low-pass filtered samples. An extension of this framework, called generalised FRI (genFRI), has been recently proposed for han ...

2020

Uncertainty propagation based on correlated sampling technique for nuclear data applications

Andreas Pautz, Vincent Pierre Lamirand, Dimitri Rochman, Axel Guy Marie Laureau

A correlated sampling technique has been implemented to estimate the impact of cross section modifications on the neutron transport and in Monte Carlo simulations in one single calculation. This implementation has been coupled to a Total Monte Carlo approa ...

2020

Variance-Reduced Stochastic Learning Under Random Reshuffling

Ali H. Sayed, Bicheng Ying, Kun Yuan

Several useful variance-reduced stochastic gradient algorithms, such as SVRG, SAGA, Finito, and SAG, have been proposed to minimize empirical risks with linear convergence properties to the exact minimizer. The existing convergence results assume uniform d ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

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Non-uniform random variate generation

Secondary structure of the human mitochondrial genome affects formation of deletions

Chaotic microcomb-based parallel ranging

Stop Wasting my FLOPS: Improving the Efficiency of Deep Learning Models

Microchannel cooling for the LHCb VELO Upgrade I

Distributionally Robust Optimization with Markovian Data

Iron incorporation in synthetic precipitated calcium silicate hydrates

Neural Design Space Exploration

CPGD: Cadzow Plug-and-Play Gradient Descent for Generalised FRI

Uncertainty propagation based on correlated sampling technique for nuclear data applications

Variance-Reduced Stochastic Learning Under Random Reshuffling

Graph Chatbot

Chat with Graph Search

CPGD: Cadzow Plug-and-Play Gradient Descent for Generalised FRI

Variance-Reduced Stochastic Learning Under Random Reshuffling

Secondary structure of the human mitochondrial genome affects formation of deletions

Stop Wasting my FLOPS: Improving the Efficiency of Deep Learning Models

Uncertainty propagation based on correlated sampling technique for nuclear data applications

Microchannel cooling for the LHCb VELO Upgrade I

Distributionally Robust Optimization with Markovian Data

Iron incorporation in synthetic precipitated calcium silicate hydrates