Risultati della ricerca - distributed evolution (algorithm OR (Algorithmsssic OR algorithmicsic))

Toward selective quantum advantage in hadronic tomography:explicit cases from Compton form factors, GPDs, TMDs, and GTMDs di Fernando, I. P., Keller, D.

Sommario: “..., we analyze why Compton form factors (CFF), generalized parton distributions (GPDs), Transverse...”
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Quantum advantage from random geometrically-two-local Hamiltonian dynamics di Quek, Yihui

Sommario: “... analog simulators natively realize time evolutions under geometrically local Hamiltonians. Does a typical...”
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Dynamic angular synchronization under smoothness constraints di Araya, Ernesto, Cucuringu, Mihai, Tyagi, Hemant

Sommario: “... smoothness condition on the evolution of the latent angles, we derive three algorithms for joint estimation...”
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Learning Low-Dimensional Strain Models of Soft Robots by Looking at the Evolution of Their Shape with Application to Model-Based Control di Valadas, Ricardo, Stölzle, Maximilian, Liu, Jingyue, Della Santina, Cosimo

Sommario: “... with an algorithm that uses image data (i.e., shape evolutions) to determine the minimal necessary segments...”
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Monte Carlo simulations of drop growth by coalescence and collision-induced breakup di L. Alfonso

Sommario: “... simulation A Monte Carlo framework to simulate the evolution of drop spectra by coalescence and collision...”
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QoS‐enhanced load balancing strategies for metaverse‐infused VR/AR in engineering education 5.0 di Kiran Deep Singh, Prabh Deep Singh

Sommario: “... Kiran Deep Singh Prabh Deep Singh Computer Applications in Engineering Education AbstractThe evolution...”
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Characterization of damage behavior and failure mechanisms of the bonded‐bolted hybrid three‐bolt joint in composite laminates di Kunlong Zhang, Fuxian Zhu, Kejun Hu, Sheng Zhang, Zhen Zhang

Sommario: “... AbstractIn this paper, the mechanical properties, damage modes, and bolt load distribution of the bonded...”
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Efficient Qubit Calibration by Binary-Search Hamiltonian Tracking di Berritta, Fabrizio, Benestad, Jacob, Pahl, Lukas, Mathews, Melvin, Krzywda, Jan A., Assouly, Réouven, Sung, Youngkyu, Kim, David K., Niedzielski, Bethany M., Serniak, Kyle, Schwartz, Mollie E., Yoder, Jonilyn L., Chatterjee, Anasua, Grover, Jeffrey A., Danon, Jeroen, Oliver, William D., Kuemmeth, Ferdinand

Sommario: “... evolution time and drive frequency are calculated to divide the prior probability distribution into two...”
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WMamba: Wavelet-based Mamba for Face Forgery Detection di Peng, Siran, Zhang, Tianshuo, Gao, Li, Zhu, Xiangyu, Zhang, Haoyuan, Pang, Kai, Lei, Zhen

Sommario: “...The rapid evolution of deepfake generation technologies necessitates the development of robust face...”
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Deficient Excitation in Parameter Learning di Cao, Ganghui, Wang, Shimin, Guay, Martin, Wang, Jinzhi, Duan, Zhisheng, Polycarpou, Marios M.

Sommario: “... condition is a rank-deficient, and therefore, a more general evolution of the well-known persistent...”
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Personalised strategy of allocating social goods in structured populations di Meng, Yao, Cornelius, Sean P., Liu, Yang-Yu, Li, Aming

Sommario: “...Cooperation underlies many aspects of the evolution of human and animal societies, where...”
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Decentralized Hidden Markov Modeling with Equal Exit Probabilities di Sui, Dongyan, Zheng, Haitian, Leng, Siyang, Vlaski, Stefan

Sommario: “... distributed manner by receiving private environmental signals and exchanging beliefs with their neighbors...”
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Observing Double White Dwarfs with the Lunar GW Antenna di Benetti, Giovanni, Branchesi, Marica, Harms, Jan, Zendri, Jean-Pierre

Sommario: “... is generated using the SeBa stellar-evolution code, coupled with dedicated sampling algorithms. The performance...”
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Generative modeling using evolved quantum Boltzmann machines di Wilde, Mark M.

Sommario: “... probability distributions that can be efficiently sampled by measuring complex quantum states. One hope...”
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One-step data-driven generative model via Schrödinger Bridge di Huang, Hanwen

Sommario: “...Generating samples from a probability distribution is a fundamental task in machine learning...”
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Score-based generative models are provably robust: an uncertainty quantification perspective di Mimikos-Stamatopoulos, Nikiforos, Zhang, Benjamin J., Katsoulakis, Markos A.

Sommario: “... around the true data distribution under the evolution of the Fokker-Planck equation. We show how errors...”
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Simulation of pulsed dynamic nuclear polarization in the steady state di Jegadeesan, Shebha Anandhi, Zhao, Yujie, Smith, Graham M., Kuprov, Ilya, Mathies, Guinevere

Sommario: “... and nuclear relaxation. In this article, we explore three algorithms to compute this stroboscopic steady state...”
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Mitigating Modality Quantity and Quality Imbalance in Multimodal Online Federated Learning di Wang, Heqiang, Yang, Weihong, Zhong, Xiaoxiong, Zhou, Jia, Liu, Fangming, Zhang, Weizhe

Sommario: “... processing of heterogeneous multimodal data. This evolution necessitates distributed learning paradigms...”
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A Unifying View of Coverage in Linear Off-Policy Evaluation di Amortila, Philip, Huang, Audrey, Krishnamurthy, Akshay, Jiang, Nan

Sommario: “... distribution. While such guarantees are well-understood for several popular algorithms under stronger...”
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FastBUS: A Fast Bayesian Framework for Unified Weakly-Supervised Learning di Wang, Ziquan, Wang, Haobo, Chen, Ke, Feng, Lei, Chen, Gang

Sommario: “... framework that efficiently infers latent true label distributions across various weak supervisions. Our key...”
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