Zobrazeno 1 - 10
of 865 633
pro vyhledávání: '"An, Chi"'
Vision transformers dominate image processing tasks due to their superior performance. However, the quadratic complexity of self-attention limits the scalability of these systems and their deployment on resource-constrained devices. State Space Model
Externí odkaz:
http://arxiv.org/abs/2412.16602
Autor:
Huang, Chien-yu, Chen, Wei-Chih, Yang, Shu-wen, Liu, Andy T., Li, Chen-An, Lin, Yu-Xiang, Tseng, Wei-Cheng, Diwan, Anuj, Shih, Yi-Jen, Shi, Jiatong, Chen, William, Chen, Xuanjun, Hsiao, Chi-Yuan, Peng, Puyuan, Wang, Shih-Heng, Kuan, Chun-Yi, Lu, Ke-Han, Chang, Kai-Wei, Yang, Chih-Kai, Ritter-Gutierrez, Fabian, Chuang, Ming To, Huang, Kuan-Po, Arora, Siddhant, Lin, You-Kuan, Yeo, Eunjung, Chang, Kalvin, Chien, Chung-Ming, Choi, Kwanghee, Hsieh, Cheng-Hsiu, Lin, Yi-Cheng, Yu, Chee-En, Chiu, I-Hsiang, Guimarães, Heitor R., Han, Jionghao, Lin, Tzu-Quan, Lin, Tzu-Yuan, Chang, Homu, Chang, Ting-Wu, Chen, Chun Wei, Chen, Shou-Jen, Chen, Yu-Hua, Cheng, Hsi-Chun, Dhawan, Kunal, Fang, Jia-Lin, Fang, Shi-Xin, Chiang, Kuan-Yu Fang, Fu, Chi An, Hsiao, Hsien-Fu, Hsu, Ching Yu, Huang, Shao-Syuan, Wei, Lee Chen, Lin, Hsi-Che, Lin, Hsuan-Hao, Lin, Hsuan-Ting, Lin, Jian-Ren, Liu, Ting-Chun, Lu, Li-Chun, Pai, Tsung-Min, Pasad, Ankita, Kuan, Shih-Yun Shan, Shon, Suwon, Tang, Yuxun, Tsai, Yun-Shao, Wei, Jui-Chiang, Wei, Tzu-Chieh, Wu, Chengxi, Wu, Dien-Ruei, Yang, Chao-Han Huck, Yang, Chieh-Chi, Yip, Jia Qi, Yuan, Shao-Xiang, Noroozi, Vahid, Chen, Zhehuai, Wu, Haibin, Livescu, Karen, Harwath, David, Watanabe, Shinji, Lee, Hung-yi
Multimodal foundation models, such as Gemini and ChatGPT, have revolutionized human-machine interactions by seamlessly integrating various forms of data. Developing a universal spoken language model that comprehends a wide range of natural language i
Externí odkaz:
http://arxiv.org/abs/2411.05361
Deep learning (DL) methods, especially those based on physics-driven DL, have become the state-of-the-art for reconstructing sub-sampled magnetic resonance imaging (MRI) data. However, studies have shown that these methods are susceptible to small ad
Externí odkaz:
http://arxiv.org/abs/2501.01908
Asgarli, Ghioca, and Reichstein recently proved that if $K$ is a field with $|K|>2$, then for any positive integers $d$ and $n$, and separable field extension $L/K$ with degree $m=\binom{n+d}{d}$, there exists a point $P\in \mathbb{P}^n(L)$ which doe
Externí odkaz:
http://arxiv.org/abs/2501.01906
This work analyzes transfer learning of the Variational Quantum Circuit (VQC). Our framework begins with a pretrained VQC configured in one domain and calculates the transition of 1-parameter unitary subgroups required for a new domain. A formalism i
Externí odkaz:
http://arxiv.org/abs/2501.01507
Speech emotion recognition (SER) is a vital component in various everyday applications. Cross-corpus SER models are increasingly recognized for their ability to generalize performance. However, concerns arise regarding fairness across demographics in
Externí odkaz:
http://arxiv.org/abs/2501.00995
The fermionic t-J model has been widely recognized as a canonical model in understanding various strongly correlated phases like cuprate high-Tc superconductivity. Simulating this model with controllable quantum platforms offers new possibilities to
Externí odkaz:
http://arxiv.org/abs/2501.00552
Autor:
Mendoza, Kayna L., Ni, Haoyang, Varnavides, Georgios, Chi, Miaofang, Ophus, Colin, Petford-Long, Amanda, Phatak, Charudatta
Magnetic materials phase reconstruction from Lorentz transmission electron microscopy (LTEM) measurements has traditionally been achieved using longstanding methods such as off-axis holography (OAH) and the transport-of-intensity equation (TIE). Amid
Externí odkaz:
http://arxiv.org/abs/2412.21005
Machine unlearning in the domain of large language models (LLMs) has attracted great attention recently, which aims to effectively eliminate undesirable behaviors from LLMs without full retraining from scratch. In this paper, we explore the Gradient
Externí odkaz:
http://arxiv.org/abs/2412.20412
Autor:
Nair, Dhanya G., Nagar, Neil M., Ramakrishnan, Venkatessh, Wielgus, Maciek, Arratia, Vicente, Krichbaum, Thomas P., Zhang, Xinyue A., Ricarte, Angelo, S., Silpa, Hernández-Yévenes, Joaquín, Ford, Nicole M., Bandyopadhyay, Bidisha, Gurwell, Mark, Burridge, Roman, Pesce, Dominic W., Doeleman, Sheperd S., Kim, Jae-Young, Kim, Daewon, Janssen, Michael, von Fellenberg, Sebastiano D., Fromm, Christian M., Lee, Deokhyeong, Falcke, Heino, Wagner, Jan, Bower, Geoffrey C., Baczko, Anne-Kathrin, Kim, Dong-Jin, Akiyama, Kazunori, Asada, Keiichi, Arevalo, Patricia, Bignall, Hayley, Blackburn, Lindy, Broderick, Avery E., Brunthaler, Andreas, Chan, Chi-kwan, Doi, Akihiro, Fish, Vincent L., Fomalont, Edward, Gómez, José L., Haggard, Daryl, Hada, Kazuhiro, Herrera-Camus, Rodrigo, Hoak, Daniel, Hughes, David, Hlavacek-Larrondo, Julie, Jorstad, Svetlana, Johnson, Michael D., Kawashima, Tomohisa, Keating, Garrett K., Kharb, Preeti, Koay, Jun Yi, Koyama, Shoko, Kuo, Cheng-Yu, Leigh, Nathan W. C., Lira, Paulina, Lindqvist, Michael, Lobanov, Andrei P., Lo, Wen-Ping, Lu, Ru-Sen, Markoff, Sera, MacDonald, Nicholas R., Martínez-Aldama, Mary Loli, Matthews, Lynn D., Matsushita, Satoki, Mezcua, Mar, Moscibrodzka, Monika, Müller, Hendrik, Nagai, Hiroshi, Nakamura, Masanori, Natarajan, Priyamvada, Narayanan, Gopal, Nowak, Michael A., Sánchez, Héctor Raúl Olivares, Park, Jongho, Psaltis, Dimitrios, Pu, Hung-Yi, Porth, Oliver, Rao, Ramprasad, Reynolds, Cormac, Reeves, Rodrigo, Romero-Cañizales, Cristina, Ros, Eduardo, Rottmann, Helge, Roy, Alan L., Schleicher, Dominik, Savolainen, Tuomas, Impellizzeri, C. M. Violette, Treister, Ezequiel, Wiik, Kaj, Zensus, J. Anton
Using the Event Horizon Telescope (EHT), the gravitationally lensed rings around the supermassive black holes (SMBHs) in Messier 87 (M87) and Sagittarius A* (Sgr A*) have now been successfully imaged at a resolution under 10 gravitational radii (R$_{
Externí odkaz:
http://arxiv.org/abs/2412.20276