Morozov, Dmitriy

7 publications

NeurIPS 2024 Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning Wuyang Chen, Jialin Song, Pu Ren, Shashank Subramanian, Dmitriy Morozov, Michael W. Mahoney

ICLRW 2024 Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning Wuyang Chen, Jialin Song, Pu Ren, Shashank Subramanian, Dmitriy Morozov, Michael W. Mahoney

NeurIPSW 2024 Evaluating Loss Landscapes from a Topology Perspective Tiankai Xie, Caleb Geniesse, Jiaqing Chen, Yaoqing Yang, Dmitriy Morozov, Michael W. Mahoney, Ross Maciejewski, Gunther H. Weber

ICLR 2024 Robustifying State-Space Models for Long Sequences via Approximate Diagonalization Annan Yu, Arnur Nigmetov, Dmitriy Morozov, Michael W. Mahoney, N. Benjamin Erichson

NeurIPSW 2024 Visualizing Loss Functions as Topological Landscape Profiles Caleb Geniesse, Jiaqing Chen, Tiankai Xie, Ge Shi, Yaoqing Yang, Dmitriy Morozov, Talita Perciano, Michael W. Mahoney, Ross Maciejewski, Gunther H. Weber

NeurIPS 2023 Towards Foundation Models for Scientific Machine Learning: Characterizing Scaling and Transfer Behavior Shashank Subramanian, Peter Harrington, Kurt Keutzer, Wahid Bhimji, Dmitriy Morozov, Michael W. Mahoney, Amir Gholami

AISTATS 2018 Communication-Avoiding Optimization Methods for Distributed Massive-Scale Sparse Inverse Covariance Estimation Penporn Koanantakool, Alnur Ali, Ariful Azad, Aydin Buluç, Dmitriy Morozov, Leonid Oliker, Katherine A. Yelick, Sang-Yun Oh