501 citations · 1k across the 33 of their papers we have counts for
4 papers · 1 filter
Synthetic Data for Deep Learning
Sergey I. Nikolenko
Synthetic data is an increasingly popular tool for training deep learning models, especially in computer vision but also in other areas. In this work, we attempt to provide a compr…
Free-Lunch Saliency via Attention in Atari Agents
Dmitry Nikulin, Anastasia Ianina, Vladimir Aliev +1
We propose a new approach to visualize saliency maps for deep neural network models and apply it to deep reinforcement learning agents trained on Atari environments. Our method add…
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
Daniil Polykovskiy, Alexander Zhebrak, Benjamin Sanchez-Lengeling +13
Generative models are becoming a tool of choice for exploring the molecular space. These models learn on a large training dataset and produce novel molecular structures with simila…
Learning State Representations in Complex Systems with Multimodal Data
Pavel Solovev, Vladimir Aliev, Pavel Ostyakov +7
Representation learning becomes especially important for complex systems with multimodal data sources such as cameras or sensors. Recent advances in reinforcement learning and opti…