Alena Shilova

20 papers A* 2Journal 10Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
AMStraMGRAM: Adaptive Multi-cutoff Strategy Modification for ANaGRAM.
CoRR
Nilo Schwencke, Cyriaque Rousselot, Alena Shilova, Cyril Furtlehner
2025 — conf
Learning non-Markovian Dynamical Systems with Signature-based Encoders.
ML-DE
Eliott Pradeleix, Rémy Hosseinkhan-Boucher, Alena Shilova, Onofrio Semeraro, Lionel Mathelin
2025 J jnl
Learning non-Markovian Dynamical Systems with Signature-based Encoders.
CoRR
Eliott Pradeleix, Rémy Hosseinkhan-Boucher, Alena Shilova, Onofrio Semeraro, Lionel Mathelin
2025 J jnl
StaQ it! Growing neural networks for Policy Mirror Descent.
CoRR
Alena Shilova, Alex Davey, Brahim Driss, Riad Akrour
2024 J jnl
AdaStop: adaptive statistical testing for sound comparisons of Deep RL agents.
Trans. Mach. Learn. Res.
Timothée Mathieu, Matheus Centa, Riccardo Della Vecchia, Hector Kohler, Alena Shilova, Odalric-Ambrym Maillard, Philippe Preux
2024 J jnl
Optimal Re-Materialization Strategies for Heterogeneous Chains: How to Train Deep Neural Networks with Limited Memory.
ACM Trans. Math. Softw.
Olivier Beaumont, Lionel Eyraud-Dubois, Julien Herrmann, Alexis Joly, Alena Shilova
2023 J jnl
AdaStop: sequential testing for efficient and reliable comparisons of Deep RL Agents.
CoRR
Timothée Mathieu, Riccardo Della Vecchia, Alena Shilova, Matheus Centa de Medeiros, Hector Kohler, Odalric-Ambrym Maillard, Philippe Preux
2022 J jnl
Entropy Regularized Reinforcement Learning with Cascading Networks.
CoRR
Riccardo Della Vecchia, Alena Shilova, Philippe Preux, Riad Akrour
2022 — conf
MadPipe: Memory Aware Dynamic Programming Algorithm for Pipelined Model Parallelism.
IPDPS Workshops
Olivier Beaumont, Lionel Eyraud-Dubois, Alena Shilova
2022 A* conf
Survey on Efficient Training of Large Neural Networks.
IJCAI
Julia Gusak, Daria Cherniuk, Alena Shilova, Alexandr Katrutsa, Daniel Bershatsky, Xunyi Zhao, Lionel Eyraud-Dubois, Oleh Shliazhko, Denis Dimitrov, Ivan V. Oseledets, Olivier Beaumont
2022 J jnl
Survey on Large Scale Neural Network Training.
CoRR
Julia Gusak, Daria Cherniuk, Alena Shilova, Alexandr Katrutsa, Daniel Bershatsky, Xunyi Zhao, Lionel Eyraud-Dubois, Oleg Shlyazhko, Denis Dimitrov, Ivan V. Oseledets, Olivier Beaumont
2021 A* conf
Efficient Combination of Rematerialization and Offloading for Training DNNs.
NeurIPS
Olivier Beaumont, Lionel Eyraud-Dubois, Alena Shilova
2021 — conf
Memory Efficient Deep Neural Network Training.
Euro-Par Workshops
Alena Shilova
2021 — —
Memory Saving Strategies for Deep Neural Network Training. (Stratégies pour économiser la mémoire lors de l'apprentissage dans les réseaux neuronaux profonds).
Alena Shilova
2021 — conf
Pipelined Model Parallelism: Complexity Results and Memory Considerations.
Euro-Par
Olivier Beaumont, Lionel Eyraud-Dubois, Alena Shilova
2020 — conf
A Makespan Lower Bound for the Tiled Cholesky Factorization Based on ALAP Schedule.
Euro-Par
Olivier Beaumont, Julien Langou, Willy Quach, Alena Shilova
2020 — conf
Optimal GPU-CPU Offloading Strategies for Deep Neural Network Training.
Euro-Par
Olivier Beaumont, Lionel Eyraud-Dubois, Alena Shilova
2019 J jnl
Optimal checkpointing for heterogeneous chains: how to train deep neural networks with limited memory.
CoRR
Olivier Beaumont, Lionel Eyraud-Dubois, Julien Herrmann, Alexis Joly, Alena Shilova
2019 — conf
Training on the Edge: The why and the how.
IPDPS Workshops
Navjot Kukreja, Alena Shilova, Olivier Beaumont, Jan Hückelheim, Nicola J. Ferrier, Paul D. Hovland, Gerard Gorman
2019 J jnl
Training on the Edge: The why and the how.
CoRR
Navjot Kukreja, Alena Shilova, Olivier Beaumont, Jan Hückelheim, Nicola J. Ferrier, Paul D. Hovland, Gerard Gorman