5 citations · 6 across the 7 of their papers we have counts for
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q-bio.BM2024
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…
cs.LG2024★ 5 cited
FLUID-LLM: Learning Computational Fluid Dynamics with Spatiotemporal-aware Large Language Models
Max Zhu, Adrián Bazaga, Pietro Liò
Learning computational fluid dynamics (CFD) traditionally relies on computationally intensive simulations of the Navier-Stokes equations. Recently, large language models (LLMs) hav…
cs.LG2024
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…