Kandemir, Mahmut

5 publications

ICLR 2025 NExUME: Adaptive Training and Inference for DNNs Under Intermittent Power Environments Cyan Subhra Mishra, Deeksha Chaudhary, Jack Sampson, Mahmut Kandemir, Chita R. Das

NeurIPS 2025 Uncertainty-Guided Exploration for Efficient AlphaZero Training Scott Cheng, Meng-Yu Tsai, Ding-Yong Hong, Mahmut Kandemir

ICLR 2022 Learn Locally, Correct Globally: A Distributed Algorithm for Training Graph Neural Networks Morteza Ramezani, Weilin Cong, Mehrdad Mahdavi, Mahmut Kandemir, Anand Sivasubramaniam

NeurIPS 2021 Structured in Space, Randomized in Time: Leveraging Dropout in RNNs for Efficient Training Anup Sarma, Sonali Singh, Huaipan Jiang, Rui Zhang, Mahmut Kandemir, Chita Das

NeurIPS 2020 GCN Meets GPU: Decoupling “When to Sample” from “How to Sample” Morteza Ramezani, Weilin Cong, Mehrdad Mahdavi, Anand Sivasubramaniam, Mahmut Kandemir