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Related Articles from SNS
Adaptive multiscale model reduction for linear elasticity equation in perforated domains
Announce Type: new Abstract: In this paper, we develop a Constraint Energy Minimizing Generalized Multiscale Finite Element Method (CEM-GMsFEM) for solving linear elasticity problems in heterogeneous perforated domains. The presence of numerous perforations introduces multiple scales into the computational domain, making direct fine-grid simulations computationally expensive. The proposed method follows the standard offline--online decomposition of CEM-GMsFEM.
Clustering-enhanced adaptive Benders decomposition for energy systems planning optimization
arXiv:2606.00388v1 Announce Type: cross Abstract: High-resolution energy system capacity expansion models (CEMs) for energy transition planning often result in large-scale mixed-integer linear programming (MILP) formulations. Benders decomposition (BD) offers a scalable solution approach by iteratively solving a master problem (MP) for investment decisions and multiple subproblems (SPs) for operational decisions. However, accumulated Benders cuts generated by the SPs can make MP solution a...
ATM: Action-Consistency Transfer Matrix for Diagnosing and Improving Latent World Models
arXiv:2606.09028v1 Announce Type: new Abstract: Latent world models are increasingly used for control and goal-conditioned planning, yet assessing whether their learned representations are useful for planning usually requires slow, planner-coupled simulator evaluation with CEM or similar planners. Such evaluation is black-box and model-complexity-dependent: under the same protocol, different world models may require minutes to hours per checkpoint. In this work, we propose ATM, an...
FF-JEPA: Long-Horizon Planning in World Models with Latent Planners
Announce Type: new Abstract: Joint Embedding Predictive Architectures (JEPAs) have shown promising world modeling capabilities, enabling planning in latent space by optimizing action trajectories using methods like the Cross-Entropy Method (CEM). These methods are, however, too computationally expensive and ineffective for long-horizon planning. Furthermore, these methods typically require an explicit image of the goal state, which is not always possible in real-world tasks.
Smooth Sampling-Based Model Predictive Control Using Deterministic Samples
arXiv:2601.03893v2 Announce Type: replace Abstract: Sampling-based model predictive control (MPC) is effective for nonlinear systems but often produces non-smooth control inputs due to random sampling. To address this issue, we extend the model predictive path integral (MPPI) framework with deterministic sampling and improvements from cross-entropy method (CEM)--MPC, such as iterative optimization, proposing deterministic sampling MPPI (dsMPPI). This combination leverages the exponential...
Adaptive Conditional Forest Sampling for Spectral Risk Optimisation under Decision-Dependent Uncertainty
arXiv:2603.12507v2 Announce Type: replace Abstract: Minimising a spectral risk objective, defined as a weighted combination of expected cost and Conditional Value-at-Risk (CVaR), is challenging when the uncertainty distribution is decision-dependent, making both surrogate modelling and simulation-based ranking sensitive to tail estimation error. We propose Adaptive Conditional Forest Sampling (ACFS), a four-phase simulation-optimisation framework that integrates Generalised Random Forests...
Latent Geometry Beyond Search: Amortizing Planning in World Models
arXiv:2605.08732v2 Announce Type: replace Abstract: Modern vision-based world models can represent observations as compact yet expressive latent manifolds, but fast goal-oriented planning in these spaces remains challenging. This raises a central question: when does a learned representation simplify control, rather than merely enabling prediction? We study this question in a pretrained LeWorldModel, whose latent geometry is regularized for smoothness and uniformity.
How the Alevi community came to thrive in Germany
How the Alevi community came to thrive in Germany May 31, 2026Alevis make up around 13% of Muslims living in Germany today. Members of this religious community once predominantly lived in rural Anatolia, Turkey, passing on their spiritual beliefs and rites orally. When Turkey began experiencing a rural exodus from the 1950s onwards, along with increasing urbanization and migration to Europe, many Alevi village communities disappeared — and with them the knowledge of their faith in many places.
Germany’s thriving Alevi community
Germany's thriving Alevi community May 31, 2026Alevis make up around 13% of Muslims living in Germany today. Members of this religious community once predominantly lived in rural Anatolia, Turkey, passing on their spiritual beliefs and rites orally. When Turkey began experiencing a rural exodus from the 1950s onwards, along with increasing urbanization and migration to Europe, many Alevi village communities disappeared — and with them the knowledge of their faith in many places.
Attitude-Aided Linear Calibration of Triaxial Accelerometers
Announce Type: new Abstract: Triaxial MEMS accelerometers are widely used for inertial sensing, navigation, and sensor fusion, but existing calibration methods often rely on costly reference setups or nonlinear iterative optimization, limiting their efficiency and applicability to low-cost or self-calibrating systems. We present attitude-aided linear accelerometer calibration (ALAC), a method that operates on any platform providing orientation information, such as turntables, robotic arms,...