Suchergebnisse - distributed evolution ((algorithm OR Algorithmssic) OR (algorithmics OR algorithmssics))

A Unifying View of Coverage in Linear Off-Policy Evaluation von Amortila, Philip, Huang, Audrey, Krishnamurthy, Akshay, Jiang, Nan

Inhaltsangabe: “… 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 von Wang, Ziquan, Wang, Haobo, Chen, Ke, Feng, Lei, Chen, Gang

Inhaltsangabe: “… framework that efficiently infers latent true label distributions across various weak supervisions. Our key …”
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Learning interacting particle systems from unlabeled data von Wei, Viska, Lu, Fei

Inhaltsangabe: “… evolution equation of the empirical distribution. The loss function is quadratic in potentials, supporting …”
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Adiabatic Error Cancellation in Berry Phase Estimation von Kiumi, Chusei

Inhaltsangabe: “… tolerance. Combining finite-runtime evolutions under $\pm H$ along the loop cancels the leading $O(T^{-1 …”
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Improved sampling via learned diffusions von Richter, Lorenz, Berner, Julius

Inhaltsangabe: “… generalized Schrödinger bridge problem, seeking a stochastic evolution between a given prior distribution …”
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Robust off-policy Reinforcement Learning via Soft Constrained Adversary von Nakanishi, Kosuke, Kubo, Akihiro, Yasui, Yuji, Ishii, Shin

Inhaltsangabe: “… significant attention and undergone rapid evolution due to RL's potential vulnerability. Although …”
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Avalanches in Magnetohydrodynamical simulations von Lamarre, Henri, Charbonneau, Paul, Noraz, Quentin, Strugarek, Antoine, Blaise, Alexis, Brun, Allan Sacha, Carlsson, Mats, Gudiksen, Boris Vilhelm

Inhaltsangabe: “… release spans a vast range of scales. Recent computational advances, at the level of both algorithmics …”
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Concentration Within Distribution: Unmasking Bitcoin's Structural Centralization Through Network Science von Nonaka, Myriam, Marín-Rodríguez, F. Javier, Jiricny, Alexander, Romance, Miguel, Criado, Regino, Iglesias-Pérez, Sergio, Partida, Alberto

Inhaltsangabe: “… , which allows us to explore its mesoscopic properties and trace its temporal evolution. In particular, we …”
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Stacked Intelligent Metasurfaces for 6G Wireless Networks: Principles, Applications, and Research Directions von Shi, Enyu, Zhang, Jiayi, Liu, Zhilong, Liu, Ziheng, Nallanathan, Arumugam, Debbah, Merouane, Jin, Shi, Ai, Bo

Inhaltsangabe: “… , distributed wireless architectures such as cell-free massive multiple-input multiple-output (MIMO) have …”
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Euclid preparation. XXXI. The effect of the variations in photometric passbands on photometric-redshift accuracy von Euclid Collaboration, Paltani, Stéphane, Coupon, J., Hartley, W. G., Alvarez-Ayllon, A., Dubath, F., Mohr, J. J., Schirmer, M., Cuillandre, J. -C., Desprez, G., Ilbert, O., Kuijken, K., Aghanim, N., Altieri, B., Amara, A., Auricchio, N., Baldi, M., Bender, R., Bodendorf, C., Bonino, D., Branchini, E., Brescia, M., Brinchmann, J., Camera, S., Capobianco, V., Carbone, C., Cardone, V. F., Carretero, J., Castander, F. J., Castellano, M., Cavuoti, S., Cledassou, R., Congedo, G., Conselice, C. J., Conversi, L., Copin, Y., Corcione, L., Courbin, F., Cropper, M., Da Silva, A., Degaudenzi, H., Dinis, J., Douspis, M., Dupac, X., Dusini, S., Farrens, S., Ferriol, S., Fosalba, P., Frailis, M., Franceschi, E., Franzetti, P., Galeotta, S., Garilli, B., Gillard, W., Gillis, B., Giocoli, C., Grazian, A., Haugan, S. V., Hoekstra, H., Hornstrup, A., Hudelot, P., Jahnke, K., Kümmel, M., Kermiche, S., Kiessling, A., Kilbinger, M., Kitching, T., Kohley, R., Kubik, B., Kunz, M., Kurki-Suonio, H., Ligori, S., Lilje, P. B., Lloro, I., Maiorano, E., Mansutti, O., Marggraf, O., Markovic, K., Marulli, F., Massey, R., Masters, D. C., Maurogordato, S., McCracken, H. J., Medinaceli, E., Mei, S., Melchior, M., Meneghetti, M., Merlin, E., Meylan, G., Moresco, M., Moscardini, L., Munari, E., Niemi, S. -M., Nightingale, J., Padilla, C., Pasian, F., Pedersen, K., Percival, W. J., Pettorino, V., Polenta, G., Poncet, M., Popa, L. A., Raison, F., Rebolo, R., Renzi, A., Rhodes, J., Riccio, G., Romelli, E., Roncarelli, M., Rossetti, E., Saglia, R., Sapone, D., Sartoris, B., Schneider, P., Secroun, A., Sirignano, C., Sirri, G., Skottfelt, J., Stanco, L., Starck, J. -L., Surace, C., Tallada-Crespí, P., Tereno, I., Toledo-Moreo, R., Torradeflot, F., Tutusaus, I., Valentijn, E. A., Valenziano, L., Vassallo, T., Wang, Y., Zamorani, G., Zoubian, J., Andreon, S., Aussel, H., Bardelli, S., Bolzonella, M., Boucaud, A., Di Ferdinando, D., Farina, M., Graciá-Carpio, J., Lindholm, V., Maino, D., Mauri, N., Neissner, C., Scottez, V., Zucca, E., Baccigalupi, C., Ballardini, M., Biviano, A., Blanchard, A., Borgani, S., Borlaff, A. S., Burigana, C., Cabanac, R., Cappi, A., Carvalho, C. S., Casas, S., Castignani, G., Chambers, K., Cooray, A. R., Courtois, H. M., Cucciati, O., Davini, S., De Lucia, G., Dole, H., Escartin, J. A., Escoffier, S., Finelli, F., Fotopoulou, S., Ganga, K., George, K., Gozaliasl, G., Hildebrandt, H., Hook, I., Muñoz, A. Jimenez, Joachimi, B., Kansal, V., Keihanen, E., Kirkpatrick, C. C., Loureiro, A., Macias-Perez, J., Maggio, G., Magliocchetti, M., Maoli, R., Marcin, S., Martinelli, M., Martinet, N., Matthew, S., Maurin, L., Metcalf, R. B., Monaco, P., Morgante, G., Nadathur, S., Nucita, A. A., Patrizii, L., Pollack, J. E., Popa, V., Porciani, C., Potter, D., Pourtsidou, A., Pozzetti, L., Pöntinen, M., Reimberg, P., Sánchez, A. G., Sakr, Z., Sefusatti, E., Sereno, M., Mancini, A. Spurio, Stadel, J., Steinwagner, J., Teyssier, R., Valieri, C., Valiviita, J., van Mierlo, S. E., Veropalumbo, A., Viel, M., Weaver, J. R.

Inhaltsangabe: “… extragalactic surveys. While the requirements on photo-zs for the study of galaxy evolution mostly pertain …”
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Accelerating FRB Search: Dataset and Methods von Guo, Xuerong, Wang, Han, Xiao, Yifan, Chen, Huaxi, Ke, Yinan, Miao, ChenChen, Wang, Pei, Li, Di, Jin, Chenwu, He, Ling, Feng, Yi, Zhang, Yongkun, Xu, Jiaying, Chen, Guangyong

Inhaltsangabe: “… in studying the distribution and evolution of matter in the universe. FRBs can only be observed through radio …”
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High‐Fidelity Modeling of Stochastic RVE Based on Learning Strategies for Unidirectional Fiber Reinforced Composite Material von Chenhao Ji, Yunong Zhai, Dongsheng Li, Hao Qu

Inhaltsangabe: “… distribution and combined with particle swarm optimization algorithm to develop a method that can help generate …”
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Diffusion Model-based Reinforcement Learning for Version Age of Information Scheduling: Average and Tail-Risk-Sensitive Control von Pan, Haoyuan, Chen, Sizhao, Wang, Zhaorui, Chan, Tse-Tin

Inhaltsangabe: “… algorithm. RS-D3SAC integrates a diffusion-based actor with a quantile-based distributional critic …”
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Listening to the Noise: Blind Denoising with Gibbs Diffusion von Heurtel-Depeiges, David, Margossian, Charles C., Ohana, Ruben, Blancard, Bruno Régaldo-Saint

Inhaltsangabe: “… models. In particular, diffusion models are trained like denoisers, and the distribution they model …”
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Structure, Positivity and Classical Simulability of Kirkwood-Dirac Distributions von Burkat, Jędrzej, Strelchuk, Sergii

Inhaltsangabe: “… The Kirkwood-Dirac (KD) quasiprobability distribution is known for its role in quantum metrology …”
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Generalised Time-Series Analysis of Fault Mechanics Using Explainable AI von King, Thomas, Vinciguerra, Sergio

Inhaltsangabe: “… , with occurrence-based metrics such as time distributions, Gutenberg-Richter b-values, and spatial fractal …”
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IBCB: Efficient Inverse Batched Contextual Bandit for Behavioral Evolution History von Xu, Yi, Shen, Weiran, Zhang, Xiao, Xu, Jun

Inhaltsangabe: “… -makers includes their behavioral evolution from novice expert to experienced expert. This poses a new …”
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Toward Structure Fairness in Dynamic Graph Embedding: A Trend-aware Dual Debiasing Approach von Li, Yicong, Yang, Yu, Cao, Jiannong, Liu, Shuaiqi, Tang, Haoran, Xu, Guandong

Inhaltsangabe: “… slightly changed vertices in the long-tail part of the power-law distribution. We first identify biased …”
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Bures-Wasserstein Flow Matching for Graph Generation von Jiang, Keyue, Cui, Jiahao, Dong, Xiaowen, Toni, Laura

Inhaltsangabe: “… distributions. However, these methods typically model the evolution of individual nodes and edges independently …”
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ECo-MoE: Embodiment-Conditioned Mixture of Experts Increases the Evolvability of Robots von Wang, Yibin, Li, Muhan, Guo, Zihan, Kriegman, Sam

Inhaltsangabe: “… In this paper, we introduce a model of evolution and learning in robots that co-optimizes a …”
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