Resultados de búsqueda - (endedededecoding OR (coding OR decoding)) (algorithm OR (Algorithmsssic OR Algorithmsssic))

Learning to Reduce Search Space for Generalizable Neural Routing Solver por Zhou, Changliang, Lin, Xi, Wang, Zhenkun, Zhang, Qingfu

Tabla de Contenidos: “… reducing reliance on expert knowledge for algorithm design. However, scaling these methods to handle large…”
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Omnidirectional Multi-Object Tracking por Luo, Kai, Shi, Hao, Wu, Sheng, Teng, Fei, Duan, Mengfei, Huang, Chang, Wang, Yuhang, Wang, Kaiwei, Yang, Kailun

Tabla de Contenidos: “…, most MOT algorithms are tailored for pinhole images with limited views, impairing their effectiveness…”
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Online Dense Point Tracking with Streaming Memory por Dong, Qiaole, Fu, Yanwei

Tabla de Contenidos: “… appearance drifting without considering temporal consistency. Recent point tracking algorithms usually depend…”
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Chameleon: Fast-slow Neuro-symbolic Lane Topology Extraction por Zhang, Zongzheng, Li, Xinrun, Zou, Sizhe, Chi, Guoxuan, Li, Siqi, Qiu, Xuchong, Wang, Guoliang, Zheng, Guantian, Wang, Leichen, Zhao, Hang, Zhao, Hao

Tabla de Contenidos: “…-slow neuro-symbolic lane topology extraction algorithm, named Chameleon, which alternates between a…”
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A Multi-Modal Federated Learning Framework for Remote Sensing Image Classification por Büyüktaş, Barış, Sumbul, Gencer, Demir, Begüm

Tabla de Contenidos: “… to state-of-the-art algorithms in the literature. The code of the proposed framework will be available…”
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ExChanGeAI: An End-to-End Platform and Efficient Foundation Model for Electrocardiogram Analysis and Fine-tuning por Bickmann, Lucas, Plagwitz, Lucas, Büscher, Antonius, Eckardt, Lars, Varghese, Julian

Tabla de Contenidos: “… learning model weights and intricate algorithmic steps for effective fine-tuning for own disease target…”
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Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn't por Dang, Quy-Anh, Ngo, Chris

Tabla de Contenidos: “… Optimization (GRPO) algorithm and curating a compact, high-quality mathematical reasoning dataset, we conducted…”
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Overview of Variable Rate Coding in JPEG AI por Jia, Panqi, Brand, Fabian, Yu, Dequan, Karabutov, Alexander, Alshina, Elena, Kaup, Andre

Tabla de Contenidos: “…. This article presents an overview of the variable rate coding functionality in JPEG AI, which includes three…”
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Euclid Quick Data Release (Q1). First detections from the galaxy cluster workflow por Euclid Collaboration, Bhargava, S., Benoist, C., Gonzalez, A. H., Maturi, M., Melin, J. -B., Stanford, S. A., Munari, E., Vannier, M., Murray, C., Maurogordato, S., Biviano, A., Macias-Perez, J., Bartlett, J. G., Pacaud, F., Widmer, A., Meneghetti, M., Sartoris, B., Aguena, M., Alguero, G., Andreon, S., Bardelli, S., Baumont, L., Bolzonella, M., Cabanac, R., Cappi, A., Castignani, G., Combet, C., Comparat, J., Farrens, S., Ghaffari, Z., Giles, P. A., Giocoli, C., Girardi, M., Hatch, N. A., Ingoglia, L., Iovino, A., Mamon, G. A., Mei, S., Moscardini, L., Mourre, S., Odier, J., Pratt, G. W., Tarrío, P., Toni, G., Weller, J., Zucca, E., Aghanim, N., Altieri, B., Amara, A., Auricchio, N., Baccigalupi, C., Baldi, M., Balestra, A., Battaglia, P., Bellagamba, F., Bonchi, A., Branchini, E., Brescia, M., Brinchmann, J., Camera, S., Capobianco, V., Carbone, C., Carretero, J., Casas, S., Castellano, M., Cavuoti, S., Chambers, K. C., Cimatti, A., Colodro-Conde, C., Congedo, G., Conselice, C. J., Conversi, L., Copin, Y., Courbin, F., Courtois, H. M., Cropper, M., Da Silva, A., Degaudenzi, H., De Lucia, G., Di Giorgio, A. M., Dolding, C., Dole, H., Dubath, F., Duncan, C. A. J., Dupac, X., Dusini, S., Ealet, A., Escoffier, S., Farina, M., Farinelli, R., Faustini, F., Ferriol, S., Finelli, F., Fosalba, P., Fotopoulou, S., Frailis, M., Franceschi, E., Fumana, M., Galeotta, S., George, K., Gillis, B., Gómez-Alvarez, P., Gracia-Carpio, J., Granett, B. R., Grazian, A., Grupp, F., Guzzo, L., Gwyn, S., Haugan, S. V. H., Hoar, J., Hoekstra, H., Holmes, W., Hormuth, F., Hornstrup, A., Hudelot, P., Ilić, S., Jahnke, K., Jhabvala, M., Joachimi, B., Keihänen, E., Kermiche, S., Kiessling, A., Kilbinger, M., Kubik, B., Kuijken, K., Kümmel, M., Kunz, M., Kurki-Suonio, H., Boulc'h, Q. Le, Brun, A. M. C. Le, Mignant, D. Le, Liebing, P., Ligori, S., Lilje, P. B., Lindholm, V., Lloro, I., Mainetti, G., Maino, D., Maiorano, E., Mansutti, O., Marcin, S., Marggraf, O., Martinelli, M., Martinet, N., Marulli, F., Massey, R., Medinaceli, E., Melchior, M., Mellier, Y., Merlin, E., Meylan, G., Mora, A., Moresco, M., Nakajima, R., Neissner, C., Nichol, R. C., Niemi, S. -M., Nightingale, J. W., Padilla, C., Paltani, S., Pasian, F., Pedersen, K., Percival, W. J., Pettorino, V., Pires, S., Polenta, G., Poncet, M., Popa, L. A., Pozzetti, L., Raison, F., Rebolo, R., Renzi, A., Rhodes, J., Riccio, G., Romelli, E., Roncarelli, M., Saglia, R., Sakr, Z., Sánchez, A. G., Sapone, D., Schewtschenko, J. A., Schneider, P., Schrabback, T., Secroun, A., Sefusatti, E., Seidel, G., Serrano, S., Simon, P., Sirignano, C., Sirri, G., Skottfelt, J., Stanco, L., Steinwagner, J., Tallada-Crespí, P., Taylor, A. N., Tereno, I., Toft, S., Toledo-Moreo, R., Torradeflot, F., Tutusaus, I., Valenziano, L., Valiviita, J., Vassallo, T., Kleijn, G. Verdoes, Veropalumbo, A., Wang, Y., Zacchei, A., Zamorani, G., Zerbi, F. M., Allevato, V., Ballardini, M., Bozzo, E., Burigana, C., Casenove, P., Di Ferdinando, D., Vigo, J. A. Escartin, Fabbian, G., Gabarra, L., Martín-Fleitas, J., Matthew, S., Mauri, N., Metcalf, R. B., Pezzotta, A., Pöntinen, M., Porciani, C., Risso, I., Scottez, V., Sereno, M., Tenti, M., Viel, M., Wiesmann, M., Akrami, Y., Andika, I. T., Anselmi, S., Archidiacono, M., Atrio-Barandela, F., Benson, K., Bergamini, P., Bertacca, D., Bethermin, M., Blanchard, A., Blot, L., Böhringer, H., Borgani, S., Brown, M. L., Bruton, S., Calabro, A., Quevedo, B. Camacho, Caro, F., Carvalho, C. S., Castro, T., Charles, Y., Cogato, F., Cooray, A. R., Costanzi, M., Cucciati, O., Davini, S., De Paolis, F., Desprez, G., Díaz-Sánchez, A., Diaz, J. J., Di Domizio, S., Diego, J. M., Dimauro, P., Duc, P. -A., Enia, A., Fang, Y., Ferrari, A. G., Ferreira, P. G., Finoguenov, A., Fontana, A., Franco, A., Ganga, K., García-Bellido, J., Gasparetto, T., Gaztanaga, E., Giacomini, F., Gianotti, F., Gozaliasl, G., Guidi, M., Gutierrez, C. M., Hall, A., Hartley, W. G., Hernández-Monteagudo, C., Hildebrandt, H., Hjorth, J., Kajava, J. J. E., Kang, Y., Kansal, V., Karagiannis, D., Kiiveri, K., Kirkpatrick, C. C., Kruk, S., Graet, J. Le, Legrand, L., Lembo, M., Lepori, F., Leroy, G., Lesci, G. F., Lesgourgues, J., Leuzzi, L., Liaudat, T. I., Liu, S. J., Loureiro, A., Maggio, G., Magliocchetti, M., Magnier, E. A., Mannucci, F., Maoli, R., Martins, C. J. A. P., Maurin, L., Migliaccio, M., Miluzio, M., Monaco, P., Montoro, A., Moretti, C., Morgante, G., Naidoo, K., Navarro-Alsina, A., Nesseris, S., Passalacqua, F., Paterson, K., Patrizii, L., Pisani, A., Potter, D., Quai, S., Radovich, M., Rocci, P. -F., Rosati, P., Sacquegna, S., Sahlén, M., Sanders, D. B., Sarpa, E., Schaye, J., Schneider, A., Schultheis, M., Sciotti, D., Sellentin, E., Smith, L. C., Tanidis, K., Testera, G., Teyssier, R., Tosi, S., Troja, A., Tucci, M., Valieri, C., Venhola, A., Vergani, D., Verza, G., Vielzeuf, P., Walton, N. A., Soubrie, E., Scott, D.

Tabla de Contenidos: “… 1 (Q1) imaging data. We identify clusters using two algorithms (AMICO and PZWav) implemented…”
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Boosting MLLM Reasoning with Text-Debiased Hint-GRPO por Huang, Qihan, Dai, Weilong, Liu, Jinlong, He, Wanggui, Jiang, Hao, Song, Mingli, Chen, Jingyuan, Yao, Chang, Song, Jie

Tabla de Contenidos: “…). However, current MLLM's GRPO algorithms still struggle to handle challenging and complex multimodal…”
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Light Curve Modeling of Eclipsing Binary Systems with Delta Scuti Component por Dharmathilaka, J. A. D. M., Adassuriya, J., Jayaratne, K. P. S. C., Gutierrez, Jordi L.

Tabla de Contenidos: “…-Devinney (WD) eclipsing binary modeling code. The analysis focuses on two $δ$ Scuti binary systems, KIC…”
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The Role of Magnetic Fields in the Formation of High-Mass Star-Forming Cores por Klos, Katerina Sophia, Bonnell, Ian A., Smith, Rowan J.

Tabla de Contenidos: “… the 3-dimensional smoothed particle magnetohydrodynamics (SPMHD) code PHANTOM. We follow the collapse…”
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How Post-Training Reshapes LLMs: A Mechanistic View on Knowledge, Truthfulness, Refusal, and Confidence por Du, Hongzhe, Li, Weikai, Cai, Min, Saraipour, Karim, Zhang, Zimin, Lakkaraju, Himabindu, Sun, Yizhou, Zhang, Shichang

Tabla de Contenidos: “… post-training algorithms and evaluated post-training models by their outputs, it remains understudied…”
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Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models por Liu, Ruikang, Sun, Yuxuan, Zhang, Manyi, Bai, Haoli, Yu, Xianzhi, Yu, Tiezheng, Yuan, Chun, Hou, Lu

Tabla de Contenidos: “…, and activation quantization using state-of-the-art algorithms at varying bit-widths, with extensive evaluation…”
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AssistanceZero: Scalably Solving Assistance Games por Laidlaw, Cassidy, Bronstein, Eli, Guo, Timothy, Feng, Dylan, Berglund, Lukas, Svegliato, Justin, Russell, Stuart, Dragan, Anca

Tabla de Contenidos: “… uncertainty. We show that AssistanceZero outperforms model-free RL algorithms and imitation learning…”
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Pychop: Emulating Low-Precision Arithmetic in Numerical Methods and Neural Networks por Carson, Erin, Chen, Xinye

Tabla de Contenidos: “… of Pychop, establishing it as a foundational tool for advancing efficient mixed-precision algorithms…”
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Practical Implementation of an End-to-End Methodology for SPC of 3-D Part Geometry: A Case Study por An, Yulin, Zhao, Xueqi, del Castillo, Enrique

Tabla de Contenidos: “… part geometry, and present an improved algorithm to automatically define a region of interest…”
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Network Requirements for Distributed Quantum Computation por Jacinto, Hugo, Gouzien, Élie, Sangouard, Nicolas

Tabla de Contenidos: “…, leveraging the surface code for error correction and enabling fault-tolerant operations through lattice…”
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RGB-Event based Pedestrian Attribute Recognition: A Benchmark Dataset and An Asymmetric RWKV Fusion Framework por Wang, Xiao, Wang, Haiyang, Wang, Shiao, Chen, Qiang, Jin, Jiandong, Song, Haoyu, Jiang, Bo, Li, Chenglong

Tabla de Contenidos: “… comprehensive benchmark and provide a solid foundation for future research in terms of data and algorithmic…”
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d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning por Zhao, Siyan, Gupta, Devaansh, Zheng, Qinqing, Grover, Aditya

Tabla de Contenidos: “… algorithm called diffu-GRPO, the first integration of policy gradient methods to masked dLLMs. Through…”
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