Resultados de búsqueda - distributed evolution ((algorithm OR (Algorithmssic OR algorithmssic)) OR algorithmics)

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

Tabla de Contenidos: “… 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 por Wang, Ziquan, Wang, Haobo, Chen, Ke, Feng, Lei, Chen, Gang

Tabla de Contenidos: “… 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 por Wei, Viska, Lu, Fei

Tabla de Contenidos: “… 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 por Kiumi, Chusei

Tabla de Contenidos: “… 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 por Richter, Lorenz, Berner, Julius

Tabla de Contenidos: “… 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 por Nakanishi, Kosuke, Kubo, Akihiro, Yasui, Yuji, Ishii, Shin

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

Tabla de Contenidos: “… 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 por Nonaka, Myriam, Marín-Rodríguez, F. Javier, Jiricny, Alexander, Romance, Miguel, Criado, Regino, Iglesias-Pérez, Sergio, Partida, Alberto

Tabla de Contenidos: “…, 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 por Shi, Enyu, Zhang, Jiayi, Liu, Zhilong, Liu, Ziheng, Nallanathan, Arumugam, Debbah, Merouane, Jin, Shi, Ai, Bo

Tabla de Contenidos: “…, 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 por 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.

Tabla de Contenidos: “… 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 por 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

Tabla de Contenidos: “… 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 por Chenhao Ji, Yunong Zhai, Dongsheng Li, Hao Qu

Tabla de Contenidos: “… 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 por Pan, Haoyuan, Chen, Sizhao, Wang, Zhaorui, Chan, Tse-Tin

Tabla de Contenidos: “… 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 por Heurtel-Depeiges, David, Margossian, Charles C., Ohana, Ruben, Blancard, Bruno Régaldo-Saint

Tabla de Contenidos: “… 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 por Burkat, Jędrzej, Strelchuk, Sergii

Tabla de Contenidos: “…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 por King, Thomas, Vinciguerra, Sergio

Tabla de Contenidos: “…, 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 por Xu, Yi, Shen, Weiran, Zhang, Xiao, Xu, Jun

Tabla de Contenidos: “…-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 por Li, Yicong, Yang, Yu, Cao, Jiannong, Liu, Shuaiqi, Tang, Haoran, Xu, Guandong

Tabla de Contenidos: “… 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 por Jiang, Keyue, Cui, Jiahao, Dong, Xiaowen, Toni, Laura

Tabla de Contenidos: “… 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 por Wang, Yibin, Li, Muhan, Guo, Zihan, Kriegman, Sam

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