Zobrazeno 1 - 10
of 257
pro vyhledávání: '"Li, Michelle P."'
Autor:
Chauhan, Anya, Noori, Ayush, Li, Zhaozhi, He, Yingnan, Li, Michelle M, Zitnik, Marinka, Das, Sudeshna
Alzheimer's disease (AD) is a complex, progressive neurodegenerative disorder characterized by extracellular A\b{eta} plaques, neurofibrillary tau tangles, glial activation, and neuronal degeneration, involving multiple cell types and pathways. Curre
Externí odkaz:
http://arxiv.org/abs/2411.10720
Autor:
Li, Michelle, Dennis, Michael
Publikováno v:
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems
Cooperative Multi-Agent Reinforcement Learning (MARL) algorithms, trained only to optimize task reward, can lead to a concentration of power where the failure or adversarial intent of a single agent could decimate the reward of every agent in the sys
Externí odkaz:
http://arxiv.org/abs/2406.11240
The progression to "Pervasive Augmented Reality" envisions easy access to multimodal information continuously. However, in many everyday scenarios, users are occupied physically, cognitively or socially. This may increase the friction to act upon the
Externí odkaz:
http://arxiv.org/abs/2405.03901
In clinical artificial intelligence (AI), graph representation learning, mainly through graph neural networks (GNNs), stands out for its capability to capture intricate relationships within structured clinical datasets. With diverse data -- from pati
Externí odkaz:
http://arxiv.org/abs/2310.13767
Autor:
Zitnik, Marinka, Li, Michelle M., Wells, Aydin, Glass, Kimberly, Gysi, Deisy Morselli, Krishnan, Arjun, Murali, T. M., Radivojac, Predrag, Roy, Sushmita, Baudot, Anaïs, Bozdag, Serdar, Chen, Danny Z., Cowen, Lenore, Devkota, Kapil, Gitter, Anthony, Gosline, Sara, Gu, Pengfei, Guzzi, Pietro H., Huang, Heng, Jiang, Meng, Kesimoglu, Ziynet Nesibe, Koyuturk, Mehmet, Ma, Jian, Pico, Alexander R., Pržulj, Nataša, Przytycka, Teresa M., Raphael, Benjamin J., Ritz, Anna, Sharan, Roded, Shen, Yang, Singh, Mona, Slonim, Donna K., Tong, Hanghang, Yang, Xinan Holly, Yoon, Byung-Jun, Yu, Haiyuan, Milenković, Tijana
Network biology is an interdisciplinary field bridging computational and biological sciences that has proved pivotal in advancing the understanding of cellular functions and diseases across biological systems and scales. Although the field has been a
Externí odkaz:
http://arxiv.org/abs/2309.08478
Autor:
Montali, Nico, Lambert, John, Mougin, Paul, Kuefler, Alex, Rhinehart, Nick, Li, Michelle, Gulino, Cole, Emrich, Tristan, Yang, Zoey, Whiteson, Shimon, White, Brandyn, Anguelov, Dragomir
Simulation with realistic, interactive agents represents a key task for autonomous vehicle software development. In this work, we introduce the Waymo Open Sim Agents Challenge (WOSAC). WOSAC is the first public challenge to tackle this task and propo
Externí odkaz:
http://arxiv.org/abs/2305.12032
Autor:
Xu, Xuhai, Yu, Mengjie, Jonker, Tanya R., Todi, Kashyap, Lu, Feiyu, Qian, Xun, Belo, João Marcelo Evangelista, Wang, Tianyi, Li, Michelle, Mun, Aran, Wu, Te-Yen, Shen, Junxiao, Zhang, Ting, Kokhlikyan, Narine, Wang, Fulton, Sorenson, Paul, Kim, Sophie Kahyun, Benko, Hrvoje
Explainable AI (XAI) has established itself as an important component of AI-driven interactive systems. With Augmented Reality (AR) becoming more integrated in daily lives, the role of XAI also becomes essential in AR because end-users will frequentl
Externí odkaz:
http://arxiv.org/abs/2303.16292
Autor:
Chelvarajah, Revadhi, Faruqi, Salman, Li, Michelle P., Musahl, Christian, Phillips, Claire, Plumridge, Nikki M., Riesterer, Oliver, Shanker, Mihir, Michael Yu, Hsiang-Hsuan, Udovicich, Cristian, Koo, Kendrick, Michael Bryant, John, Bugarini, Alejandro, Huo, Michael, Hwan Kim, Kyung, Derek Li, Yuping, Oliver, Daniel E., Patel, Samir, Rogers, Susanne, Chicoine, Michael R., Foote, Matthew C., Kim, Seon-Hwan, Mahadevan, Anand, Pinkham, Mark B., Sia, Joseph, Haghighi, Neda
Publikováno v:
In Radiotherapy and Oncology January 2025 202
Within epidemiological modeling, the majority of analyses assume a single epidemic process for generating ground-truth data. However, this assumed data generation process can be unrealistic, since data sources for epidemics are often aggregated acros
Externí odkaz:
http://arxiv.org/abs/2106.10610
Autor:
Li, Michelle M., Zitnik, Marinka
Spatial context is central to understanding health and disease. Yet reference protein interaction networks lack such contextualization, thereby limiting the study of where protein interactions likely occur in the human body and how they may be altere
Externí odkaz:
http://arxiv.org/abs/2106.02246