Concept
Statistical randomness
Related publications (37)
Exploration-based model learning with self-attention for risk-sensitive robot control
Model-based reinforcement learning for robot control offers the advantages of overcoming concerns on data collection and iterative processes for policy improvement in model-free methods. However, both methods use exploration strategy relying on heuristics ...
2023Certification of the efficient random number generation technique based on single-photon detector arrays and time-to-digital converters
True random number generators (TRNGs) allow the generation of true random bit sequences, guaranteeing the unpredictability and perfect balancing of the generated values. TRNGs can be realised from the sampling of quantum phenomena, for instance, the detect ...
Hoboken2021Random flip-flop: adding quantum randomness to digital circuits for improved cyber security, artificial intelligence and more
Edoardo Charbon, Claudio Bruschini, Ivan Michel Antolovic, Mario Stipcevic
Harnessing quantum randomness for the generation of random numbers is an important concept crucial for information security and many other computer-related applications. Quantum random number generators (QRNGs) are evolving from bulky, slow, and expensive ...
SPIE2021Design using randomness: a new dimension for metallurgy
High entropy alloys add a new dimension, atomic-scale randomness and the associated scale-dependent composition fluctuations, to the traditional metallurgical axes of time-temperature-composition-microstructure. Alloy performance is controlled by the energ ...
PERGAMON-ELSEVIER SCIENCE LTD2020Efficient random number generation techniques for CMOS single-photon avalanche diode array exploiting fast time tagging units
This work presents a technique to produce random bits by exploiting single-photon time of arrival. Two quantum random number generator (QRNG) devices based on the field programmable gate array (FPGA) technology are presented: Randy, which uses one discrete ...
AMER PHYSICAL SOC2020Subthreshold Logic for Low-Area and Energy Efficient True Random Number Generator
Maher Kayal, Mathieu Yves Hervé Coustans, Thomas Eberhardt, Laurent Fesquet
This paper discusses the advantages of subthreshold logic for True Random Number Generators (TRNG). In this work, the entropy is modeled, and a lower bound of Shannon's entropy per output bit can quickly be estimated. Thanks to this model, sizing TRNGs in ...
IEEE2018Neuronal morphologies: the shapes of thoughts
The mammalian brain, one of the most fascinating systems in nature, is a complex biological structure that has kept scientists busy for over a century. Many of the brain's mysteries have been unraveled due to the enormous efforts of the scientific communit ...
EPFL2018The committee machine: Computational to statistical gaps in learning a two-layers neural network
Nicolas Macris, Florent Gérard Krzakala, Lenka Zdeborová, Jean François Emmanuel Barbier
Heuristic tools from statistical physics have been used in the past to locate the phase transitions and compute the optimal learning and generalization errors in the teacher-student scenario in multi-layer neural networks. In this contribution, we provide ...
NEURAL INFORMATION PROCESSING SYSTEMS (NIPS)2018Quasi-random numbers for copula models
The present work addresses the question how sampling algorithms for commonly applied copula models can be adapted to account for quasi-random numbers. Besides sampling methods such as the conditional distribution method (based on a one-to-one transformatio ...
Springer2017Unraveling Brittle-Fracture Statistics from Intermittent Patterns Formed During Femtosecond Laser Exposure
Yves Bellouard, Max-Olivier Hongler, Christos Edouardos Athanasiou
Femtosecond-laser-written patterns at the surface of brittle materials may show at random times spontaneous alternations from regular to disordered structures and vice versa. Here, we show that these random transitions carry relevant statistical informatio ...
2017