Search Results for author: Mikhail Pavlov

Found 7 papers, 6 papers with code

Zero-Shot Text-to-Image Generation

7 code implementations24 Feb 2021 Aditya Ramesh, Mikhail Pavlov, Gabriel Goh, Scott Gray, Chelsea Voss, Alec Radford, Mark Chen, Ilya Sutskever

Text-to-image generation has traditionally focused on finding better modeling assumptions for training on a fixed dataset.

Zero-Shot Text-to-Image Generation

Large-$c$ conformal $(n \leq 6)$-point blocks with superlight weights and holographic Steiner trees

no code implementations12 Jan 2021 Mikhail Pavlov

In this note we study CFT$_2$ Virasoro conformal blocks with heavy operators in the large-$c$ limit in the context of AdS$_3$/CFT$_2$ correspondence.

High Energy Physics - Theory

DALL·E: Creating Images from Text

1 code implementation5 Jan 2021 Aditya Ramesh, Mikhail Pavlov, Gabriel Goh, Scott Gray, Mark Chen, Rewon Child, Vedant Misra, Pamela Mishkin, Gretchen Krueger, Sandhini Agarwal, Ilya Sutskever

We’ve trained a neural network called DALL·E that creates images from text captions for a wide range of concepts expressible in natural language.

Run, skeleton, run: skeletal model in a physics-based simulation

1 code implementation18 Nov 2017 Mikhail Pavlov, Sergey Kolesnikov, Sergey M. Plis

In this paper, we present our approach to solve a physics-based reinforcement learning challenge "Learning to Run" with objective to train physiologically-based human model to navigate a complex obstacle course as quickly as possible.

Policy Gradient Methods

Deep Attention Recurrent Q-Network

3 code implementations5 Dec 2015 Ivan Sorokin, Alexey Seleznev, Mikhail Pavlov, Aleksandr Fedorov, Anastasiia Ignateva

A deep learning approach to reinforcement learning led to a general learner able to train on visual input to play a variety of arcade games at the human and superhuman levels.

Atari Games Deep Attention

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