3 citations · 4 across the 8 of their papers we have counts for
8 papers
Challenges and Guidelines in Deep Generative Protein Design: Four Case Studies
Tianyuan Zheng, Alessandro Rondina, Gos Micklem +1
Deep generative models show promise for protein design, yet reliably producing designs that are geometrically plausible, evolutionarily consistent, functionally…
HyperBERT: Mixing Hypergraph-Aware Layers with Language Models for Node Classification on Text-Attributed Hypergraphs
Adrián Bazaga, Pietro Liò, Gos Micklem
Hypergraphs are characterized by complex topological structure, representing higher-order interactions among multiple entities through hyperedges. Lately, hypergraph-based deep lea…
Language Model Knowledge Distillation for Efficient Question Answering in Spanish
Adrián Bazaga, Pietro Liò, Gos Micklem
Recent advances in the development of pre-trained Spanish language models has led to significant progress in many Natural Language Processing (NLP) tasks, such as question answerin…
SQLformer: Deep Auto-Regressive Query Graph Generation for Text-to-SQL Translation
Adrián Bazaga, Pietro Liò, Gos Micklem
In recent years, the task of text-to-SQL translation, which converts natural language questions into executable SQL queries, has gained significant attention for its potential to d…
Unsupervised Pretraining for Fact Verification by Language Model Distillation
Adrián Bazaga, Pietro Liò, Gos Micklem
Fact verification aims to verify a claim using evidence from a trustworthy knowledge base. To address this challenge, algorithms must produce features for every claim that are both…
Learning from learning machines: a new generation of AI technology to meet the needs of science
Luca Pion-Tonachini, Kristofer Bouchard, Hector Garcia Martin +33
We outline emerging opportunities and challenges to enhance the utility of AI for scientific discovery. The distinct goals of AI for industry versus the goals of AI for science cre…
Translating synthetic natural language to database queries: a polyglot deep learning framework
Adrián Bazaga, Nupur Gunwant, Gos Micklem
The number of databases as well as their size and complexity is increasing. This creates a barrier to use especially for non-experts, who have to come to grips with the nature of t…
Understanding the Systems Biology of Pathogen Virulence Using Semantic Methodologies
David Rhee, Kevin Shieh, Julie Sullivan +3
Systems biology approaches to the integrative study of cells, organs and organisms offer the best means of understanding in a holistic manner the diversity of molecular assays that…