Mikhail E. Smorkalov

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 5

Top Topics

Risk Minimization

Convex Loss Functions

Machine Translation

Top Venues

Publications

Vasiliy A. Es'kin, Danil V. Davydov, Julia V. Gur'eva, Alexey O. Malkhanov, Mikhail E. Smorkalov
Separable Physics-Informed Neural Networks for the solution of elasticity problems. CoRR (2024)
Mikhail A. Akhukov, Vasiliy A. Es'kin, Mikhail E. Smorkalov
Catenary and Mercator projection. CoRR (2024)
Vasiliy A. Es'kin, Danil V. Davydov, Ekaterina D. Egorova, Alexey O. Malkhanov, Mikhail A. Akhukov, Mikhail E. Smorkalov
About optimal loss function for training physics-informed neural networks under respecting causality. CoRR (2023)
Dhiraj D. Kalamkar, Kunal Banerjee, Sudarshan Srinivasan, Srinivas Sridharan, Evangelos Georganas, Mikhail E. Smorkalov, Cong Xu, Alexander Heinecke
Training Google Neural Machine Translation on an Intel CPU Cluster. CLUSTER (2019)
Srinivas Sridharan, Karthikeyan Vaidyanathan, Dhiraj D. Kalamkar, Dipankar Das, Mikhail E. Smorkalov, Mikhail Shiryaev, Dheevatsa Mudigere, Naveen Mellempudi, Sasikanth Avancha, Bharat Kaul, Pradeep Dubey
On Scale-out Deep Learning Training for Cloud and HPC. CoRR (2018)