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NIPS
2007
15 years 9 months ago
Inferring Elapsed Time from Stochastic Neural Processes
Many perceptual processes and neural computations, such as speech recognition, motor control and learning, depend on the ability to measure and mark the passage of time. However, ...
Misha Ahrens, Maneesh Sahani
CSDA
2010
111views more  CSDA 2010»
15 years 7 months ago
Robust online signal extraction from multivariate time series
We introduce robust regression-based online filters for multivariate time series and discuss their performance in real time signal extraction settings. We focus on methods that ca...
Vivian Lanius, Ursula Gather
CORR
2012
Springer
210views Education» more  CORR 2012»
14 years 3 months ago
Fast MCMC sampling for Markov jump processes and continuous time Bayesian networks
Markov jump processes and continuous time Bayesian networks are important classes of continuous time dynamical systems. In this paper, we tackle the problem of inferring unobserve...
Vinayak Rao, Yee Whye Teh
ICALP
2009
Springer
16 years 8 months ago
Reachability in Stochastic Timed Games
We define stochastic timed games, which extend two-player timed games with probabilities (following a recent approach by Baier et al), and which extend in a natural way continuous-...
Patricia Bouyer, Vojtech Forejt
ICCAD
2001
IEEE
128views Hardware» more  ICCAD 2001»
16 years 4 months ago
An Assembly-Level Execution-Time Model for Pipelined Architectures
The aim of this work is to provide an elegant and accurate static execution timing model for 32-bit microprocessor instruction sets, covering also inter–instruction effects. Suc...
Giovanni Beltrame, Carlo Brandolese, William Forna...