Zobrazeno 1 - 10
of 55 108
pro vyhledávání: '"An, Liwei"'
Autor:
Yuan, Liwei, Ishii, Hideaki
We study resilient leader-follower consensus of multi-agent systems (MASs) in the presence of adversarial agents, where agents' communication is modeled by time-varying topologies. The objective is to develop distributed algorithms for the nonfaulty/
Externí odkaz:
http://arxiv.org/abs/2411.09954
Autor:
Ni, Liwei, Wang, Rui, Liu, Miao, Meng, Xingyu, Lin, Xiaoze, Liu, Junfeng, Luo, Guojie, Chu, Zhufei, Qian, Weikang, Yang, Xiaoyan, Xie, Biwei, Li, Xingquan, Li, Huawei
This paper introduces an adaptive logic synthesis dataset generation framework designed to enhance machine learning applications within the logic synthesis process. Unlike previous dataset generation flows that were tailored for specific tasks or lac
Externí odkaz:
http://arxiv.org/abs/2411.09422
In this paper we study a principal-agent problem in continuous time with multiple lump-sum payments (contracts) paid at different deterministic times. We reduce the non-zero sum Stackelberg game between the principal and agent to a standard stochasti
Externí odkaz:
http://arxiv.org/abs/2411.04262
Despite the substantial progress of novel view synthesis, existing methods, either based on the Neural Radiance Fields (NeRF) or more recently 3D Gaussian Splatting (3DGS), suffer significant degradation when the input becomes sparse. Numerous effort
Externí odkaz:
http://arxiv.org/abs/2411.03637
The accurate prediction of geometric state evolution in complex systems is critical for advancing scientific domains such as quantum chemistry and material modeling. Traditional experimental and computational methods face challenges in terms of envir
Externí odkaz:
http://arxiv.org/abs/2410.24220
Autor:
Wang, Haiyang, Fan, Yue, Naeem, Muhammad Ferjad, Xian, Yongqin, Lenssen, Jan Eric, Wang, Liwei, Tombari, Federico, Schiele, Bernt
Transformers have become the predominant architecture in foundation models due to their excellent performance across various domains. However, the substantial cost of scaling these models remains a significant concern. This problem arises primarily f
Externí odkaz:
http://arxiv.org/abs/2410.23168
Virtual Network Embedding (VNE) is a challenging combinatorial optimization problem that refers to resource allocation associated with hard and multifaceted constraints in network function virtualization (NFV). Existing works for VNE struggle to hand
Externí odkaz:
http://arxiv.org/abs/2410.22999
Autor:
Li, Jing-Jing, Pyatkin, Valentina, Kleiman-Weiner, Max, Jiang, Liwei, Dziri, Nouha, Collins, Anne G. E., Borg, Jana Schaich, Sap, Maarten, Choi, Yejin, Levine, Sydney
The ideal LLM content moderation system would be both structurally interpretable (so its decisions can be explained to users) and steerable (to reflect a community's values or align to safety standards). However, current systems fall short on both of
Externí odkaz:
http://arxiv.org/abs/2410.16665
Autor:
Mittmann, Gesa, Laiouar-Pedari, Sara, Mehrtens, Hendrik A., Haggenmüller, Sarah, Bucher, Tabea-Clara, Chanda, Tirtha, Gaisa, Nadine T., Wagner, Mathias, Klamminger, Gilbert Georg, Rau, Tilman T., Neppl, Christina, Compérat, Eva Maria, Gocht, Andreas, Hämmerle, Monika, Rupp, Niels J., Westhoff, Jula, Krücken, Irene, Seidl, Maximillian, Schürch, Christian M., Bauer, Marcus, Solass, Wiebke, Tam, Yu Chun, Weber, Florian, Grobholz, Rainer, Augustyniak, Jaroslaw, Kalinski, Thomas, Hörner, Christian, Mertz, Kirsten D., Döring, Constanze, Erbersdobler, Andreas, Deubler, Gabriele, Bremmer, Felix, Sommer, Ulrich, Brodhun, Michael, Griffin, Jon, Lenon, Maria Sarah L., Trpkov, Kiril, Cheng, Liang, Chen, Fei, Levi, Angelique, Cai, Guoping, Nguyen, Tri Q., Amin, Ali, Cimadamore, Alessia, Shabaik, Ahmed, Manucha, Varsha, Ahmad, Nazeel, Messias, Nidia, Sanguedolce, Francesca, Taheri, Diana, Baraban, Ezra, Jia, Liwei, Shah, Rajal B., Siadat, Farshid, Swarbrick, Nicole, Park, Kyung, Hassan, Oudai, Sakhaie, Siamak, Downes, Michelle R., Miyamoto, Hiroshi, Williamson, Sean R., Holland-Letz, Tim, Schneider, Carolin V., Kather, Jakob Nikolas, Tolkach, Yuri, Brinker, Titus J.
The aggressiveness of prostate cancer, the most common cancer in men worldwide, is primarily assessed based on histopathological data using the Gleason scoring system. While artificial intelligence (AI) has shown promise in accurately predicting Glea
Externí odkaz:
http://arxiv.org/abs/2410.15012
Autor:
Feng, Guhao, Yang, Kai, Gu, Yuntian, Ai, Xinyue, Luo, Shengjie, Sun, Jiacheng, He, Di, Li, Zhenguo, Wang, Liwei
Despite the remarkable success of Transformer-based Large Language Models (LLMs) across various domains, understanding and enhancing their mathematical capabilities remains a significant challenge. In this paper, we conduct a rigorous theoretical ana
Externí odkaz:
http://arxiv.org/abs/2410.13857