Search Results - distributed evolution ((algorithm OR algorithmics) OR (Algorithmsssic OR algorithmsssic))

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

Table of Contents: “… 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 by Wang, Ziquan, Wang, Haobo, Chen, Ke, Feng, Lei, Chen, Gang

Table of Contents: “… 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 by Wei, Viska, Lu, Fei

Table of Contents: “… 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 by Kiumi, Chusei

Table of Contents: “… 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 by Richter, Lorenz, Berner, Julius

Table of Contents: “… 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 by Nakanishi, Kosuke, Kubo, Akihiro, Yasui, Yuji, Ishii, Shin

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

Table of Contents: “… 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 by Nonaka, Myriam, Marín-Rodríguez, F. Javier, Jiricny, Alexander, Romance, Miguel, Criado, Regino, Iglesias-Pérez, Sergio, Partida, Alberto

Table of Contents: “…, 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 by Shi, Enyu, Zhang, Jiayi, Liu, Zhilong, Liu, Ziheng, Nallanathan, Arumugam, Debbah, Merouane, Jin, Shi, Ai, Bo

Table of Contents: “…, 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 by 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.

Table of Contents: “… 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 by 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

Table of Contents: “… 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 by Chenhao Ji, Yunong Zhai, Dongsheng Li, Hao Qu

Table of Contents: “… 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 by Pan, Haoyuan, Chen, Sizhao, Wang, Zhaorui, Chan, Tse-Tin

Table of Contents: “… 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 by Heurtel-Depeiges, David, Margossian, Charles C., Ohana, Ruben, Blancard, Bruno Régaldo-Saint

Table of Contents: “… 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 by Burkat, Jędrzej, Strelchuk, Sergii

Table of Contents: “…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 by King, Thomas, Vinciguerra, Sergio

Table of Contents: “…, 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 by Xu, Yi, Shen, Weiran, Zhang, Xiao, Xu, Jun

Table of Contents: “…-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 by Li, Yicong, Yang, Yu, Cao, Jiannong, Liu, Shuaiqi, Tang, Haoran, Xu, Guandong

Table of Contents: “… 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 by Jiang, Keyue, Cui, Jiahao, Dong, Xiaowen, Toni, Laura

Table of Contents: “… 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 by Wang, Yibin, Li, Muhan, Guo, Zihan, Kriegman, Sam

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