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Research Papers

Generalisable Agents for Neural Network Optimisation

Kale-ab Tessera | Callum Rhys Tilbury | Sasha Abramowitz | Ruan de Kock | Omayma Mahjoub | Benjamin Rosman | Sara Hooker | Arnu Pretorius

NeurIPS workshop Dec 2023

Optimising deep neural networks with framework of Generalisable Agents for Neural Network Optimisation (GANNO) — a multi-agent reinforcement learning (MARL) approach that learns to improve neural network optimisation by dynamically and responsively scheduling hyperparameters during training

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Offline RL for generative design of protein binders

Denis Tarasov | Ulrich A. Mbou Sob | Miguel Arbesú | Nima Siboni | Sebastien Boyer | Andries Smit | Oliver Bent | Arnu Pretorius

NeurIPS workshop Dec 2023

a study on the application of offline Reinforcement Learning (RL) to address the bottleneck posed by the docking process, leveraging RL’s capability to optimize non-differentiable properties.

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Preferential Bayesian Optimisation for Protein Design with Fine-Tuned Protein Language Model Ensembles

Alex Hawkins-Hooker | Paul Duckworth | Oliver Bent

NeurIPS workshop Dec 2023

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FrameDiPT: SE(3) Diffusion Model for Protein Structure Inpainting

Cheng Zhang | Adam Leach | Tom Makkink | Miguel Arbesu | Ibtissem Kadri | Daniel Luo | Liron Mizrahi | Sabrine Krichen | Maren Lang | Andrey Tovchigrechko | Nicolas Lopez Carranza | Ugur Sahin | Karim Beguir | Michael Rooney | Yunguan Fu

NeurIPS workshop Dec 2023

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Are we going MAD? Benchmarking Multi-Agent Debate between Language Models for Medical Q&A

Dries Smit | Paul Duckworth | Nathan Grinsztajn | Kale-ab Tessera | Tom Barrett | Arnu Pretorius

NeurIPS workshop Dec 2023

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LightMHC: A Light Model for pMHC Structure Prediction with Graph Neural Networks

Antoine Delaunay | Yunguan Fu | Nikolai Gorbushin | Robert McHardy | Bachir Djermani | Liviu Copoiu | Michael Rooney | Maren Lang | Andrey Tovchigrechko | Ugur Sahin | Karim Beguir | Nicolas Lopez Carranza

NeurIPS workshop Dec 2023

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PASTA: Pretrained Action-State Transformer Agents

Raphael Boige | Yannis Flet-Berliac | Arthur Flajolet | Guillaume Richard | Thomas Pierrot

NeurIPS workshop Dec 2023

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Combinatorial Optimization with Policy Adaptation using Latent Space Search

Felix Chalumeau | Shikha Surana | Clement Bonnet | Nathan Grinsztajn | Arnu Pretorius | Alexandre Laterre | Thomas D. Barrett

NeurIPS workshop Dec 2023

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Nonparametric Boundary Geometry in Physics Informed Deep Learning

Scott Cameron | Arnu Pretorius | Stephen Roberts

NeurIPS Dec 2023

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Winner Takes It All: Training Performant RL Populations for Combinatorial Optimization

Nathan Grinsztajn | Daniel Furelos Blanco (internship) | Tom Barrett | Shikha Surana | Clément Bonnet | Thomas Barrett

NeurIPS Dec 2023

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Optimizing Empty Container Repositioning and Fleet Deployment via Configurable Semi-POMDPs

Riccardo Poiani | Ciprian Stirbu | Alberto Maria Metelli | Marcello Restelli

IEEE Transactions on Intelligent Transportation Systems Dec 2023

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Progressive loss of conserved spike protein neutralizing antibody sites in Omicron sublineages is balanced by preserved T cell immunity

Alexander Muik | Bonny Gaby Lui | Jasmin Quandt | Huitian Diao | Yunguan Fu | Maren Bacher | Jessica Gordon | Aras Toker | Jessica Grosser | Orkun Ozhelvaci | Katharina Grikscheit | Sebastian Hoehl | Niko Kohmer | Yaniv Lustig | Gili Regev-Yochay | Sandra Ciesek | Karim Beguir | Asaf Poran | Isabel Vogler | Ozlem Tureci | Ugur Sahin

Cell Report Aug 2023

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