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Found 8 papers, 3 papers with code
Achieving morphological agreement with Concorde
Neural conversational models are widely used in applications like personal assistants and chat bots.
ReSet: Learning Recurrent Dynamic Routing in ResNet-like Neural Networks
Neural Network is a powerful Machine Learning tool that shows outstanding performance in Computer Vision, Natural Language Processing, and Artificial Intelligence.
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
Generative models are becoming a tool of choice for exploring the molecular space.
A Prior of a Googol Gaussians: a Tensor Ring Induced Prior for Generative Models
Previous works show that the richer family of prior distributions may help to avoid the mode collapse problem in GANs and to improve the evidence lower bound in VAEs.
Deterministic Decoding for Discrete Data in Variational Autoencoders
Variational autoencoders are prominent generative models for modeling discrete data.
Chemistry42: An AI-based platform for de novo molecular design
Chemistry42 is a software platform for de novo small molecule design that integrates Artificial Intelligence (AI) techniques with computational and medicinal chemistry methods.
MolGrow: A Graph Normalizing Flow for Hierarchical Molecular Generation
We propose a hierarchical normalizing flow model for generating molecular graphs.
nach0: Multimodal Natural and Chemical Languages Foundation Model
Large Language Models (LLMs) have substantially driven scientific progress in various domains, and many papers have demonstrated their ability to tackle complex problems with creative solutions.
