Zobrazeno 1 - 10
of 10 738
pro vyhledávání: '"P.-A. Bouchard"'
This paper deals with Elliptical Wishart distributions - which generalize the Wishart distribution - in the context of signal processing and machine learning. Two algorithms to compute the maximum likelihood estimator (MLE) are proposed: a fixed poin
Externí odkaz:
http://arxiv.org/abs/2411.02726
Autor:
Liu, Tiange, Surjanovic, Nikola, Biron-Lattes, Miguel, Bouchard-Côté, Alexandre, Campbell, Trevor
Many common Markov chain Monte Carlo (MCMC) kernels can be formulated using a deterministic involutive proposal with a step size parameter. Selecting an appropriate step size is often a challenging task in practice; and for complex multiscale targets
Externí odkaz:
http://arxiv.org/abs/2410.18929
Generative retrieval for search and recommendation is a promising paradigm for retrieving items, offering an alternative to traditional methods that depend on external indexes and nearest-neighbor searches. Instead, generative models directly associa
Externí odkaz:
http://arxiv.org/abs/2410.16823
Autor:
Niknam, Mohamad, Bouchard, Louis-S.
We introduce a technique for extracting microstructural geometry from NMR lineshape analysis in porous materials at angstrom-scale resolution with the use of weak magnetic field gradients. Diverging from the generally held view of FID signals undergo
Externí odkaz:
http://arxiv.org/abs/2410.09700
Autor:
Luu, Son, Xu, Zuheng, Surjanovic, Nikola, Biron-Lattes, Miguel, Campbell, Trevor, Bouchard-Côté, Alexandre
The Hamiltonian Monte Carlo (HMC) algorithm is often lauded for its ability to effectively sample from high-dimensional distributions. In this paper we challenge the presumed domination of HMC for the Bayesian analysis of GLMs. By utilizing the struc
Externí odkaz:
http://arxiv.org/abs/2410.03630
Autor:
Fenwick, Kate L., Baker, Jonathan, Thekkadath, Guillaume S., Goldberg, Aaron Z., Heshami, Khabat, Bustard, Philip J., England, Duncan, Bouchard, Frédéric, Sussman, Benjamin
Multiphoton interference is crucial to many photonic quantum technologies. In particular, interference forms the basis of optical quantum information processing platforms and can lead to significant computational advantages. It is therefore interesti
Externí odkaz:
http://arxiv.org/abs/2409.11483
Annealed Sequential Monte Carlo (SMC) samplers are special cases of SMC samplers where the sequence of distributions can be embedded in a smooth path of distributions. Using this underlying path of distributions and a performance model based on the v
Externí odkaz:
http://arxiv.org/abs/2408.12057
Autor:
Patel, Gayatri, Bouchard, Louis-S.
In tissue engineering, we seek to address comprehensive tissue repair and regeneration needs. Aligned nanofibers have emerged as powerful and versatile tools, attributable to their structural and biochemical congruence with the natural extracellular
Externí odkaz:
http://arxiv.org/abs/2408.07909
Autor:
Stephan, Michel, Bouchard, Alexandre, Hodges, Timothy, Green, Richard G., Koukoulas, Triantafillos, Wu, Lixue, St-Gelais, Raphael
Short-term changes in the resonance frequency of silicon nitride (SiN) nanomechanical resonators can be measured very precisely due to low thermomechanical fluctuations resulting from large mechanical quality factors. These properties enable high-per
Externí odkaz:
http://arxiv.org/abs/2408.07612
There is overwhelming evidence that cognition, perception, and action rely on feedback control. However, if and how neural population dynamics are amenable to different control strategies is poorly understood, in large part because machine learning m
Externí odkaz:
http://arxiv.org/abs/2408.05875