Search Results for author: S. Kim

Found 5 papers, 1 papers with code

Exploring Prime Number Classification: Achieving High Recall Rate and Rapid Convergence with Sparse Encoding

1 code implementation30 Jan 2024 Serin Lee, S. Kim

This paper presents a novel approach at the intersection of machine learning and number theory, focusing on the classification of prime and non-prime numbers.

Dust polarized emission observations of NGC 6334; BISTRO reveals the details of the complex but organized magnetic field structure of the high-mass star-forming hub-filament network

no code implementations24 Dec 2020 D. Arzoumanian, R. Furuya, T. Hasegawa, M. Tahani, S. Sadavoy, C. L. H. Hull, D. Johnstone, P. M. Koch, S. -i. Inutsuka, Y. Doi, T. Hoang, T. Onaka, K. Iwasaki, Y. Shimajiri, T. Inoue, N. Peretto, P. André, P. Bastien, D. Berry, H. -R. V. Chen, J. Di Francesco, C. Eswaraiah, L. Fanciullo, L. M. Fissel, J. Hwang, J. -h. Kang, G. Kim, K. -T. Kim, F. Kirchschlager, W. Kwon, C. W. Lee, H. -L. Liu, A. -R. Lyo, K. Pattle, A. Soam, X. Tang, A. Whitworth, T. -C. Ching, S. Coudé, J. -W. Wang, D. Ward-Thompson, S. -P. Lai, K. Qiu, T. L. Bourke, D. -Y. Byun, M. Chen, Z. Chen, W. P. Chen, J. Cho, Y. Choi, M. Choi, A. Chrysostomou, E. J. Chung, S. Dai, P. N. Diep, H. -Y. Duan, Y. Duan, D. Eden, J. Fiege, E. Franzmann, P. Friberg, G. Fuller, T. Gledhill, S. Graves, J. Greaves, M. Griffin, Q. Gu, I. Han, J. Hatchell, S. Hayashi, M. Houde, I. -G. Jeong, M. Kang, S. -j. Kang, A. Kataoka, K. Kawabata, F. Kemper, M. -R. Kim, K. H. Kim, J. Kim, S. Kim, J. Kirk, M. I. N. Kobayashi, V. Konyves, T. Kusune, J. Kwon, K. Lacaille, C. -Y. Law, C. -F. Lee, Y. -H. Lee, S. -S. Lee, H. Lee, J. -E. Lee, H. -b. Li, D. Li, J. Liu, T. Liu, S. -Y. Liu, X. Lu, S. Mairs, M. Matsumura, B. Matthews, G. Moriarty-Schieven, T. Nagata, F. Nakamura, H. Nakanishi, N. B. Ngoc, N. Ohashi, G. Park, H. Parsons, T. -S. Pyo, L. Qian, R. Rao, J. Rawlings, M. Rawlings, B. Retter, J. Richer, A. Rigby, H. Saito, G. Savini, A. Scaife, M. Seta, H. Shinnaga, M. Tamura, Y. -W. Tang, K. Tomisaka, L. N. Tram, Y. Tsukamoto, S. Viti, H. Wang, J. Xie, H. -W. Yen, H. Yoo, J. Yuan, H. -S. Yun, T. Zenko, G. Zhang, C. -P. Zhang, Y. Zhang, J. Zhou, L. Zhu, I. de Looze, C. D. Dowell, S. Eyres, S. Falle, R. Friesen, J. -F. Robitaille, S. van Loo

[Abridged] Filaments and hubs have received special attention recently thanks to studies showing their role in star formation.

Astrophysics of Galaxies

Analyzing non-equilibrium quantum states through snapshots with artificial neural networks

no code implementations21 Dec 2020 A. Bohrdt, S. Kim, A. Lukin, M. Rispoli, R. Schittko, M. Knap, M. Greiner, J. Léonard

Current quantum simulation experiments are starting to explore non-equilibrium many-body dynamics in previously inaccessible regimes in terms of system sizes and time scales.

Quantum Gases Disordered Systems and Neural Networks Strongly Correlated Electrons Quantum Physics

A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems

no code implementations CVPR 2013 J. Kappes, B. Andres, F. Hamprecht, C. Schnorr, S. Nowozin, D. Batra, S. Kim, B. Kausler, J. Lellmann, N. Komodakis, C. Rother

However, on new and challenging types of models our findings disagree and suggest that polyhedral methods and integer programming solvers are competitive in terms of runtime and solution quality over a large range of model types.

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