Daniil Polykovskiy
8 papers · 2018–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(23)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Deep Learning
(6)
Architectures
(6)
Machine Learning
(4)
Core Methods
(4)
Artificial Intelligence
(3)
Models
(3)
Computer Vision
(2)
Interdisciplinary
(2)
Analysis
(2)
Core AI · Artificial Intelligence
(2)
Learning Types · Machine Learning
(2)
Learning Types · Deep Learning
(2)
Techniques
(2)
Natural Language Processing
(1)
Core AI · Computer Vision
(1)
Keywords
molecular generation
(3)
variational autoencoder
(2)
neural network architecture
(2)
image classification
(2)
language model
(2)
knowledge distillation
(1)
conditional computation
(1)
feature extraction
(1)
dynamic routing
(1)
feature embedding
(1)
multi-task learning
(1)
hierarchical representation
(1)
transformation invariance
(1)
prior distribution
(1)
normalizing flow
(1)
language modeling
(1)
generative model
(1)
image recognition
(1)
text generation
(1)
reinforcement learning
(1)
Papers
BindGPT: A Scalable Framework for 3D Molecular Design via Language Modeling and Reinforcement Learning
AAAI 2025
nach0-pc: Multi-task Language Model with Molecular Point Cloud Encoder
AAAI 2025
MolGrow: A Graph Normalizing Flow for Hierarchical Molecular Generation
AAAI 2021
Deterministic Decoding for Discrete Data in Variational Autoencoders
AISTATS 2020
A Prior of a Googol Gaussians: a Tensor Ring Induced Prior for Generative Models
NeurIPS 2019
Concorde: Morphological Agreement in Conversational Models
ACML 2018
Extracting Invariant Features From Images Using An Equivariant Autoencoder
ACML 2018
ReSet: Learning Recurrent Dynamic Routing in ResNet-like Neural Networks
ACML 2018