Zobrazeno 1 - 10
of 11 831
pro vyhledávání: '"Lauri, P."'
This paper studies reinforcement learning (RL) in infinite-horizon dynamic decision processes with almost-sure safety constraints. Such safety-constrained decision processes are central to applications in autonomous systems, finance, and resource man
Externí odkaz:
http://arxiv.org/abs/2411.19193
This paper introduces Open-Amp, a synthetic data framework for generating large-scale and diverse audio effects data. Audio effects are relevant to many musical audio processing and Music Information Retrieval (MIR) tasks, such as modelling of analog
Externí odkaz:
http://arxiv.org/abs/2411.14972
Autor:
Ekstedt, Andreas, Gould, Oliver, Hirvonen, Joonas, Laurent, Benoit, Niemi, Lauri, Schicho, Philipp, van de Vis, Jorinde
WallGo is an open source software for the computation of the bubble wall velocity in first-order cosmological phase transitions. It also computes the energy budget available for the generation of gravitational waves. The main part of WallGo, built in
Externí odkaz:
http://arxiv.org/abs/2411.04970
We consider the projected normal distribution, with isotropic variance, on the 2-sphere using intrinsic statistics. We show that in this case, the expectation commutes with the projection and that the covariance of the normal variable has a 1-1 corre
Externí odkaz:
http://arxiv.org/abs/2410.22384
Autor:
Suonsivu, Aleksi, Salmela, Lauri, Peretti, Edoardo, Uosukainen, Leevi, Bilcu, Radu Ciprian, Boracchi, Giacomo
Time-resolved single photon imaging is a promising imaging modality characterized by the unique capability of timestamping the arrivals of single photons. Single-Photon Avalanche Diodes (SPADs) are the leading technology for implementing modern time-
Externí odkaz:
http://arxiv.org/abs/2410.16744
Shavette: Low Power Neural Network Acceleration via Algorithm-level Error Detection and Undervolting
Reduced voltage operation is an effective technique for substantial energy efficiency improvement in digital circuits. This brief introduces a simple approach for enabling reduced voltage operation of Deep Neural Network (DNN) accelerators by mere so
Externí odkaz:
http://arxiv.org/abs/2410.13415
Autor:
Ek, Kaisa, Avela, Aleksi, Haaki, Willehard, Helander, Sami, Lumme, Ville, Mutikainen, Terho, Pere, Jaakko, Vesselinova, Natalia, Viitasaari, Lauri, Ilmonen, Pauliina
The recent COVID-19 pandemic has highlighted the need of studying extreme, life-threatening phenomena in advance. In this article, a zombie epidemic in Uusimaa region in Finland is modeled. A stochastic agent based simulation model is proposed and ex
Externí odkaz:
http://arxiv.org/abs/2410.12502
The fixed angle inverse scattering problem for a velocity consists in determining a sound speed, or a Riemannian metric up to diffeomorphism, from measurements obtained by probing the medium with a single plane wave. This is a formally determined inv
Externí odkaz:
http://arxiv.org/abs/2410.06864
This article introduces an artistic research project that utilises artist-in-residency and exhibition as methods for exploring the possibilities of robotic 3D printing and ceramics. The interdisciplinary project unites artists and architects to colla
Externí odkaz:
http://arxiv.org/abs/2410.03550
In this article, we study the explosion time of the solution to autonomous stochastic differential equations driven by the fractional Brownian motion with Hurst parameter $H>1/2$. With the help of the Lamperti transformation, we are able to tackle th
Externí odkaz:
http://arxiv.org/abs/2410.00581