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Daniil Polykovskiy

5 accepted papers

2025

BindGPT: A Scalable Framework for 3D Molecular Design via Language Modeling and Reinforcement Learning

AAAI 2025technical

Generating novel active molecules for a given protein is an extremely challenging task for generative models that requires an understanding of the complex physical interactions between the molecule and its environment. This paper presents a novel generative model, BindGPT, which uses a conceptually…

Cited by 10SourcePDFScholar
2025

nach0-pc: Multi-task Language Model with Molecular Point Cloud Encoder

AAAI 2025technical

Recent advancements have integrated Language Models (LMs) into a drug discovery pipeline. However, existing models mostly work with SMILES and SELFIES chemical string representations, which lack spatial features vital for drug discovery. Additionally, attempts to translate chemical 3D structures int…

Cited by 0SourcePDFScholar
2019

A Prior of a Googol Gaussians: a Tensor Ring Induced Prior for Generative Models

NeurIPS 2019poster

Generative models produce realistic objects in many domains, including text, image, video, and audio synthesis. Most popular models—Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs)—usually employ a standard Gaussian distribution as a prior. Previous works show that the rich…

Cited by 20SourcePDFScholar