Results 61 to 70 of about 33,205 (174)
Ordered Tree-Sliced Wasserstein Distance for Sequential Data
Existing distance measures for sequential data are often ineffective and inefficient, as they are not true metrics and incur quadratic time complexities with respect to sequence length.
Tung Doan, Hoang Le, Hong Vuong
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Bridging classical data assimilation and optimal transport: the 3D-Var case [PDF]
Because optimal transport (OT) acts as displacement interpolation in physical space rather than as interpolation in value space, it can avoid double-penalty errors generated by mislocations of geophysical fields.
M. Bocquet +4 more
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AGT: Efficient Offline Reinforcement Learning With Advantage‐Guided Transformer
ABSTRACT Offline reinforcement learning (RL) is a paradigm that seeks to train policies directly based on fixed datasets derived from previous interactions with the environment. However, offline RL faces critical challenges in environments characterised by sparse rewards and datasets dominated by suboptimal trajectories.
Jiaye Wei +4 more
wiley +1 more source
ABSTRACT Extreme icing disasters increasingly undermine the reliability of integrated power and heat networks by causing line outages, supply shortages and sharp thermal load fluctuations. To address these challenges, this paper proposes a comprehensive optimisation framework that exploits the spatiotemporal flexibility of data centres for coordinated ...
Yan Wang +6 more
wiley +1 more source
On a general matrix-valued unbalanced optimal transport problem
We introduce a general class of transport distances $\mathrm {WB}_{\Lambda }$ over the space of positive semi-definite matrix-valued Radon measures $\mathcal {M}(\Omega, \mathbb {S}_+^n)$ , called the weighted Wasserstein–Bures distance ...
Bowen Li, Jun Zou
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Beyond the next step: A multi‐criteria generative validation framework for step selection functions
Abstract Step‐selection functions (SSFs), typically fitted using step‐selection analysis (SSA) or integrated step‐selection analysis (iSSA) are widely used to infer habitat selection and movement kernels from high‐frequency telemetry data, but most standard validation tools focus on one‐step‐ahead prediction and do not guarantee that fitted models ...
Aurélien Nicosia
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ABSTRACT Vlaardingen (VL) communities on the Dutch West coast (3400–2200 bce) are part of a unique, long‐term continuity in the European Neolithic. Despite large‐scale changes in European populations during the Neolithic, the genomic diversity and cultural practices of VL communities can be retraced to the Mesolithic.
Jisca de Bruin +3 more
wiley +1 more source
Critical scaling of the quantum Wasserstein distance
Distinguishing quantum states with minimal sampling overhead is of fundamental importance to teach quantum data to an algorithm. Recently, the quantum Wasserstein distance emerged from the theory of quantum optimal transport as a promising tool in this ...
Gonzalo Camacho, Benedikt Fauseweh
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Real‐time by‐example texture synthesis and filtering using local statistics exchange
Abstract Real‐time by‐example texture synthesis is used in interactive virtual worlds to generate the appearance of an unbounded surface from an exemplar texture with as few repetitions as possible. Currently, leading real‐time methods rely on a tiling and blending scheme which is known to synthesize well texture patterns with little spatial ...
Nicolas Lutz, Guillaume Gilet
wiley +1 more source
Model-Based Localization and Tracking Using Bluetooth Low-Energy Beacons
We introduce a high precision localization and tracking method that makes use of cheap Bluetooth low-energy (BLE) beacons only. We track the position of a moving sensor by integrating highly unreliable and noisy BLE observations streaming from multiple ...
F. Serhan Daniş, Ali Taylan Cemgil
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