Risultati della ricerca - (coding OR decoding) (algorithm OR (Algorithmsssic OR Algorithmsssic))

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

Sommario: “... reducing reliance on expert knowledge for algorithm design. However, scaling these methods to handle large...”
Testo

Omnidirectional Multi-Object Tracking di Luo, Kai, Shi, Hao, Wu, Sheng, Teng, Fei, Duan, Mengfei, Huang, Chang, Wang, Yuhang, Wang, Kaiwei, Yang, Kailun

Sommario: “..., 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 di Dong, Qiaole, Fu, Yanwei

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

Sommario: “...-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 di Büyüktaş, Barış, Sumbul, Gencer, Demir, Begüm

Sommario: “... 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 di Bickmann, Lucas, Plagwitz, Lucas, Büscher, Antonius, Eckardt, Lars, Varghese, Julian

Sommario: “... 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 di Dang, Quy-Anh, Ngo, Chris

Sommario: “... 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 di Jia, Panqi, Brand, Fabian, Yu, Dequan, Karabutov, Alexander, Alshina, Elena, Kaup, Andre

Sommario: “.... 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 di 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.

Sommario: “... 1 (Q1) imaging data. We identify clusters using two algorithms (AMICO and PZWav) implemented...”
Testo

Boosting MLLM Reasoning with Text-Debiased Hint-GRPO di Huang, Qihan, Dai, Weilong, Liu, Jinlong, He, Wanggui, Jiang, Hao, Song, Mingli, Chen, Jingyuan, Yao, Chang, Song, Jie

Sommario: “...). 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 di Dharmathilaka, J. A. D. M., Adassuriya, J., Jayaratne, K. P. S. C., Gutierrez, Jordi L.

Sommario: “...-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 di Klos, Katerina Sophia, Bonnell, Ian A., Smith, Rowan J.

Sommario: “... 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 di Du, Hongzhe, Li, Weikai, Cai, Min, Saraipour, Karim, Zhang, Zimin, Lakkaraju, Himabindu, Sun, Yizhou, Zhang, Shichang

Sommario: “... 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 di Liu, Ruikang, Sun, Yuxuan, Zhang, Manyi, Bai, Haoli, Yu, Xianzhi, Yu, Tiezheng, Yuan, Chun, Hou, Lu

Sommario: “..., 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 di Laidlaw, Cassidy, Bronstein, Eli, Guo, Timothy, Feng, Dylan, Berglund, Lukas, Svegliato, Justin, Russell, Stuart, Dragan, Anca

Sommario: “... 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 di Carson, Erin, Chen, Xinye

Sommario: “... 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 di An, Yulin, Zhao, Xueqi, del Castillo, Enrique

Sommario: “... part geometry, and present an improved algorithm to automatically define a region of interest...”
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Network Requirements for Distributed Quantum Computation di Jacinto, Hugo, Gouzien, Élie, Sangouard, Nicolas

Sommario: “..., 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 di Wang, Xiao, Wang, Haiyang, Wang, Shiao, Chen, Qiang, Jin, Jiandong, Song, Haoyu, Jiang, Bo, Li, Chenglong

Sommario: “... 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 di Zhao, Siyan, Gupta, Devaansh, Zheng, Qinqing, Grover, Aditya

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