Kellis, Manolis

7 publications

NeurIPS 2024 A Versatile Informative Diffusion Model for Single-Cell ATAC-Seq Data Generation and Analysis Lei Huang, Lei Xiong, Na Sun, Zunpeng Liu, Ka-Chun Wong, Manolis Kellis

ICLRW 2024 Demystify the Secret Function in Protein Sequence via Conditional Diffusion Models Yaoyao Xu, Xuxi Chen, Tong Wang, Huan He, Tianlong Chen, Manolis Kellis

ICML 2024 Position: TrustLLM: Trustworthiness in Large Language Models Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Yang Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao

ICMLW 2024 Pre-Training of Single-Cell Language Models Through Genetic Pathway Learning Xuxi Chen, Zhangyang Wang, Marinka Zitnik, Manolis Kellis, Tianlong Chen

NeurIPSW 2024 Signals in the Cells: Multimodal and Contextualized Machine Learning Foundations for Therapeutics Alejandro Velez-Arce, Kexin Huang, Michelle M Li, Xiang Lin, Wenhao Gao, Bradley Pentelute, Tianfan Fu, Manolis Kellis, Marinka Zitnik

NeurIPSW 2023 Contextualized Networks Reveal Heterogeneous Transcriptomic Regulation in Tumors at Sample-Specific Resolution Caleb Ellington, Ben Lengerich, Thomas Watkins, Jiekun Yang, Hanxi Xiao, Manolis Kellis, Eric Xing

NeurIPSW 2023 scCLIP: Multi-Modal Single-Cell Contrastive Learning Integration Pre-Training Lei Xiong, Tianlong Chen, Manolis Kellis