no code implementations • 6 Feb 2024 • Helen Byrne, Heather Harrington, Alexey Ovchinnikov, Gleb Pogudin, Hamid Rahkooy, Pedro Soto
This problem has been intensively studied for ordinary differential equation models, with theory and several efficient algorithms and software packages developed.
no code implementations • 4 Apr 2022 • Ilia Ilmer, Alexey Ovchinnikov, Gleb Pogudin, Pedro Soto
Structural global parameter identifiability indicates whether one can determine a parameter's value from given inputs and outputs in the absence of noise.
no code implementations • 7 Feb 2022 • Pedro Soto, Haibin Guan, Jun Li
Matrix multiplication is a fundamental operation in machine learning and is commonly distributed into multiple parallel tasks for large datasets.
no code implementations • 31 Jan 2022 • Pedro Soto, Ilia Ilmer, Haibin Guan, Jun Li
Coded distributed computation has become common practice for performing gradient descent on large datasets to mitigate stragglers and other faults.