Scholar
Alena Shilova
Google Scholar ID: hiHDpfgAAAAJ
Research Scientist, Inria Saclay
Citations & Impact
Citations
306
H-index
8
i10-index
7
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Participated in NeurIPS 2023 conference in December 2023.
Research Experience
- Currently a permanent researcher at Inria Saclay within the TAU team; previously a postdoctoral fellow in the Scool team, where she explored the application of Physics-Informed Neural Networks to tackle Hamilton-Jacobi-Bellman equations in Continuous-Time Reinforcement Learning problems and delved into Entropy Regularised Reinforcement Learning, developing methods for comparing reinforcement learning algorithms.
Education
- Completed a PhD in Computer Science at the University of Bordeaux and Inria Bordeaux, focusing on the intersection between High Performance Computing (HPC) and Artificial Intelligence (AI). The thesis was titled 'Memory Saving Strategies for Deep Neural Network Training' and supervised by Dr. Olivier Beaumont and Dr. Alexis Joly.
Background
- Research interests include reinforcement learning, AI4Science, and efficient training of neural networks.
Miscellany
- Contact: alena dot shilova at inria dot fr, Social media handle: AleShi94
Co-authors