Thinker: Learning to Plan and Act

1 code implementation • NeurIPS 2023 • Stephen Chung, Ivan Anokhin, David Krueger

This approach eliminates the need for handcrafted planning algorithms by enabling the agent to learn how to plan autonomously and allows for easy interpretation of the agent's plan with visualization.

Sokoban

Embedded Ensembles: Infinite Width Limit and Operating Regimes

no code implementations • 24 Feb 2022 • Maksim Velikanov, Roman Kail, Ivan Anokhin, Roman Vashurin, Maxim Panov, Alexey Zaytsev, Dmitry Yarotsky

In this limit, we identify two ensemble regimes - independent and collective - depending on the architecture and initialization strategy of ensemble models.

Image Generators with Conditionally-Independent Pixel Synthesis

2 code implementations • CVPR 2021 • Ivan Anokhin, Kirill Demochkin, Taras Khakhulin, Gleb Sterkin, Victor Lempitsky, Denis Korzhenkov

Existing image generator networks rely heavily on spatial convolutions and, optionally, self-attention blocks in order to gradually synthesize images in a coarse-to-fine manner.

Image Generation

Low-loss connection of weight vectors: distribution-based approaches

1 code implementation • ICML 2020 • Ivan Anokhin, Dmitry Yarotsky

Recent research shows that sublevel sets of the loss surfaces of overparameterized networks are connected, exactly or approximately.

High-Resolution Daytime Translation Without Domain Labels

1 code implementation • CVPR 2020 • Ivan Anokhin, Pavel Solovev, Denis Korzhenkov, Alexey Kharlamov, Taras Khakhulin, Alexey Silvestrov, Sergey Nikolenko, Victor Lempitsky, Gleb Sterkin

We present the high-resolution daytime translation (HiDT) model for this task.

Image Manipulation Image Super-Resolution +5