Zobrazeno 1 - 10
of 340 464
pro vyhledávání: '"JEN An"'
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
We calculate n-point hard string scattering amplitudes (HSSA) with n-2 tachyons and 2 tensor states at arbitrary mass levels. We discover the stringy scaling behavior of these HSSA. It is found that for HSSA with more than 2 transverse directions, th
Externí odkaz:
http://arxiv.org/abs/2412.19640
Autor:
Matheron, Aimé, Marquès, Jean-Raphaël, Lelasseux, Vincent, Shou, Yinren, Andriyash, Igor A., Phung, Vanessa Ling Jen, Ayoul, Yohann, Beluze, Audrey, Dăncuş, Ioan, Dorchies, Fabien, D'Souza, Flanish, Dumergue, Mathieu, Frotin, Mickaël, Gautier, Julien, Gobert, Fabrice, Gugiu, Marius, Krishnamurthy, Santhosh, Kargapolov, Ivan, Kroupp, Eyal, Lancia, Livia, Lazăr, Alexandru, Leblanc, Adrien, Lo, Mohamed, Mataja, Damien, Mathieu, François, Papadopoulos, Dimitrios, Claveria, Pablo San Miguel, Phuoc, Kim Ta, Talposi, Anda-Maria, Tata, Sheroy, Ur, Călin A., Ursescu, Daniel, Văsescu, Lidia, Doria, Domenico, Malka, Victor, Ghenuche, Petru, Corde, Sebastien
With today's multi-petawatt lasers, testing quantum electrodynamics (QED) in the strong field regime, where the electric field exceeds the Schwinger critical field in the rest frame of an electron, becomes within reach. Inverse Compton scattering of
Externí odkaz:
http://arxiv.org/abs/2412.19337
Autor:
LearnLM Team, Modi, Abhinit, Veerubhotla, Aditya Srikanth, Rysbek, Aliya, Huber, Andrea, Wiltshire, Brett, Veprek, Brian, Gillick, Daniel, Kasenberg, Daniel, Ahmed, Derek, Jurenka, Irina, Cohan, James, She, Jennifer, Wilkowski, Julia, Alarakyia, Kaiz, McKee, Kevin R., Wang, Lisa, Kunesch, Markus, Schaekermann, Mike, Pîslar, Miruna, Joshi, Nikhil, Mahmoudieh, Parsa, Jhun, Paul, Wiltberger, Sara, Mohamed, Shakir, Agarwal, Shashank, Phal, Shubham Milind, Lee, Sun Jae, Strinopoulos, Theofilos, Ko, Wei-Jen, Wang, Amy, Anand, Ankit, Bhoopchand, Avishkar, Wild, Dan, Pandya, Divya, Bar, Filip, Graham, Garth, Winnemoeller, Holger, Nagda, Mahvish, Kolhar, Prateek, Schneider, Renee, Zhu, Shaojian, Chan, Stephanie, Yadlowsky, Steve, Sounderajah, Viknesh, Assael, Yannis
Today's generative AI systems are tuned to present information by default rather than engage users in service of learning as a human tutor would. To address the wide range of potential education use cases for these systems, we reframe the challenge o
Externí odkaz:
http://arxiv.org/abs/2412.16429
Existing Autonomous Driving Systems (ADS) independently make driving decisions, but they face two significant limitations. First, in complex scenarios, ADS may misinterpret the environment and make inappropriate driving decisions. Second, these syste
Externí odkaz:
http://arxiv.org/abs/2412.16265
Autor:
Chang, Jen-Hao Rick, Wang, Yuyang, Martin, Miguel Angel Bautista, Gu, Jiatao, Susskind, Josh, Tuzel, Oncel
We introduce Shape Tokens, a 3D representation that is continuous, compact, and easy to incorporate into machine learning models. Shape Tokens act as conditioning vectors that represent shape information in a 3D flow-matching model. The flow-matching
Externí odkaz:
http://arxiv.org/abs/2412.15618
Autor:
Hu, Yucheng, Guo, Yanjiang, Wang, Pengchao, Chen, Xiaoyu, Wang, Yen-Jen, Zhang, Jianke, Sreenath, Koushil, Lu, Chaochao, Chen, Jianyu
Recent advancements in robotics have focused on developing generalist policies capable of performing multiple tasks. Typically, these policies utilize pre-trained vision encoders to capture crucial information from current observations. However, prev
Externí odkaz:
http://arxiv.org/abs/2412.14803
Quantum correlations are essential to the emergent behaviors of quantum systems, supporting key phenomena such as localization or delocalization of particles, quantum avalanches in many-body localized systems, and quantum information transfer. In ope
Externí odkaz:
http://arxiv.org/abs/2412.13524
Autor:
Huang, Jen-Yuan
Diffusion Probabilistic Models (DPMs) have demonstrated exceptional capability of generating high-quality and diverse images, but their practical application is hindered by the intensive computational cost during inference. The DPM generation process
Externí odkaz:
http://arxiv.org/abs/2412.10786
Human motion transfer aims at animating a static source image with a driving video. While recent advances in one-shot human motion transfer have led to significant improvement in results, it remains challenging for methods with 2D body landmarks, ske
Externí odkaz:
http://arxiv.org/abs/2412.06174