9:00-9:15 Opening presentation Massih-Reza Amini, Olivier Gaudoin, Vadim Strijov

9:15-10:15 Julien Mairal Lucas-Kanade Reloaded: Super-Resolution from Raw Image Bursts

Break

Section chair Minttu Alakuijala

10:30-11:00 Hugo LEBEAU Gipsa-lab-ENSTA Cost-Efficient Classification on Large Dimensional Data Streaming: a Random Matrix Vision

11:00-11:30 Waiss Azizian LJK-ENS Expressive Power of Invariant and Equivariant Graph Neural Networks

11:30-12:00 Houssam Zenati LJK-Inria Counterfactual Learning of Stochastic Policies with Continuous Actions

Lunch

Section chairs Alexander Gasnikov, Oleg Bakhteev [Optimization, BCI]

14:00-14:30 Rustem Islamov MIPT Distributed Second Order Methods

14:30-15:00 Egor Shulgin KAUST/MIPT Accelerated Decentralized Optimization Method for Time-Varying Networks

Break

15:30-16:00 Roman Isachenko MIPT Dimensionality Reduction for Signal Decoding

16:00-16:20 Antonina Kurdyukova MIPT Detection of Phase of Human Motions with Signals of Wearable Devices

16:20-16:40 Alina Samokhina MIPT Continuous Time Representation for Signal Decoding

9:15-10:15 Oleg Bakhteev and Vadim Strijov MIPT Multi-Modeling and Deep Learning Model Selection

Break

Section chairs Oleg Bakhteev and Vadim Strijov [Deep learning]

10:30-10:50 Olga Grebenkova MIPT Hyper-Networks to Control the Complexity of Deep Learning Models

10:50-11:10 Maria Gorpinich MIPT Regularizing the Optimization Path of Deep Learning Models

11:10-11:30 Mark Potanin MIPT Scheduling for Neural Architecture Search

11:30-12:00 Andrii Hrabovyi MIPT Knowledge Transfer and Model Structure Alignment

Lunch

Section chair Artem Betlei

14:00-14:30 Minttu Alakuijala LJK-Inria Residual Reinforcement Learning from Demonstrations for Robot Control

14:30-15:00 Ilia Igashov LJK-MIPT Graph Convolutional Networks for Protein Model Quality Assessment

Break

Section chair Houssam Zenati

15:30-16:00 Artem Betlei LIG/Criteo Uplift Modeling with Generalization Guarantees

16:00-16:30 Carlos Brito Pacheco LJK-UGA Shape Optimization of Thermal Devices: An Introduction to Density and Shape Optimization