hidden Markov model
PulseAugur coverage of hidden Markov model — every cluster mentioning hidden Markov model across labs, papers, and developer communities, ranked by signal.
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JEPA models shown to be equivalent to Hidden Markov Models
A new research paper proposes that Joint-Embedding Predictive Learning (JEPA) models, when fully time-indexed, exhibit the same computational structure as Hidden Markov Models (HMMs). The paper details how components of…
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Neural network weights reveal temporal data structure and representational drift
Researchers are exploring how to recover temporal structure from neural network weights, even after training is complete. One study proposes using hidden Markov models to analyze weight trajectories and identify distinc…
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New ChainWatch framework detects multi-step attacks on AI agents
A new framework called ChainWatch has been developed to detect multi-step attacks targeting AI agent systems that use the Model Context Protocol (MCP). ChainWatch employs a six-stage kill chain model and a Hidden Markov…
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CNNs and HMMs combine for precise GI tract localization in VCE studies
Researchers have developed a novel method for precisely localizing sections within the gastrointestinal tract using Video Capsule Endoscopy (VCE) images. This approach combines a Convolutional Neural Network (CNN) for i…
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New tensorized algorithms improve analysis of factorial hidden Markov models
Researchers have developed new tensorized algorithms and scalable filtering methods to address the computational challenges associated with factorial hidden Markov models (fHMMs). These models are more realistic for sys…
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New Bayesian Model Speeds Up Stellar Flare Detection
Researchers have developed a novel framework for Bayesian time-series modeling using Gaussian Processes (GPs) that significantly reduces computational costs. This new method employs a Variational Autoencoder (VAE) to le…
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New deFOREST Pipeline Fuses Satellite Data for Advanced Deforestation Detection
Researchers have developed a new deforestation detection pipeline called deFOREST that fuses optical and radar satellite data for enhanced sensing. The system constructs anomaly maps from optical data using a discrete K…
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New framework FlowMSM identifies causal structures in non-stationary time series
Researchers have developed a new framework called FlowMSM to address the challenges of identifying latent regimes and causal structures in non-stationary time series data. This framework is designed to handle complex dy…
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New C++ library libhmm offers accurate HMM parameter estimation
A new C++20 library called libhmm has been developed for Hidden Markov Models (HMMs), addressing a lack of well-maintained, embeddable C++ HMM software. It corrects the common use of approximations in the Baum-Welch alg…
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New framework analyzes transformer internal state dynamics
Researchers have developed a new framework called Markovian Circuit Tracing (MCT) to analyze the internal state dynamics of transformer models. This method uses synthetic Hidden Markov Model (HMM) tasks to test if trans…
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South Korea declines Trump's call to join Hormuz Strait mission
South Korea has declined Donald Trump's request to send naval forces to the Strait of Hormuz following a ship fire. Officials indicated that Seoul would require a UN mandate and a global coalition before participating i…
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Researchers develop MDP and POMDP for error mitigation in digital twins
Researchers have developed a new framework for mitigating error propagation in modular digital twins by treating it as a sequential decision-making problem. They formulated this using a Markov Decision Process (MDP) and…