Biography
Oiwi leads the Neural Processing Lab (NPL) at the University of Oxford. His aim is to build bridges between deep learning and the brain, for example by accelerating the development of Brain Computer Interfaces (BCIs), but also by developing deep learning methods for interpreting brain data and leveraging principles of systems neuroscience to inform machine learning. Oiwi completed a DPhil focused on Natural Language Processing (NLP) for low-resource languages. He further trained as a postdoc in Imaging Neuroscience at UCL and Oxford, and in Applied Artificial Intelligence at the ORI. He was previously a lecturer in Medicine at St Peter's College, Oxford, and is currently Hugh Price Fellow in Computer Science at Jesus College, Oxford.
Recent Publications
Reaching Through Latent Space: From Joint Statistics to Path Planning in Manipulation
Hung C-M, Zhong S, Goodwin W, Jones OP, Engelcke M et al. (2022)
BibTeX
@misc{reachingthrough-2022/10,
title={Reaching Through Latent Space: From Joint Statistics to Path Planning in
Manipulation},
author={Hung C-M, Zhong S, Goodwin W, Jones OP, Engelcke M et al.},
year = "2022"
}
Composing RNNs and FSTs for Small Data: Recovering Missing Characters in Old Hawaiian Text
Jones OP & Shillingford B (2022)
BibTeX
@misc{composingrnnsan-2022/7,
title={Composing RNNs and FSTs for Small Data: Recovering Missing Characters in
Old Hawaiian Text},
author={Jones OP & Shillingford B},
year = "2022"
}
ObPose: Leveraging Pose for Object-Centric Scene Inference in 3D
Wu Y, Jones OP & Posner I (2022)
BibTeX
@misc{obposeleveragin-2022/6,
title={ObPose: Leveraging Pose for Object-Centric Scene Inference in 3D},
author={Wu Y, Jones OP & Posner I},
year = "2022"
}
Generalizing Brain Decoding Across Subjects with Deep Learning
Csaky R, Es MV, Jones OP & Woolrich M (2022)
BibTeX
@misc{generalizingbra-2022/5,
title={Generalizing Brain Decoding Across Subjects with Deep Learning},
author={Csaky R, Es MV, Jones OP & Woolrich M},
year = "2022"
}
VAE-Loco: Versatile Quadruped Locomotion by Learning a Disentangled Gait Representation
Mitchell AL, Merkt W, Geisert M, Gangapurwala S, Engelcke M et al. (2022)
BibTeX
@misc{vaelocoversatil-2022/5,
title={VAE-Loco: Versatile Quadruped Locomotion by Learning a Disentangled Gait
Representation},
author={Mitchell AL, Merkt W, Geisert M, Gangapurwala S, Engelcke M et al.},
year = "2022"
}
Next Steps: Learning a Disentangled Gait Representation for Versatile Quadruped Locomotion
Mitchell AL, Merkt W, Geisert M, Gangapurwala S, Engelcke M et al. (2021)
BibTeX
@misc{nextstepslearni-2021/12,
title={Next Steps: Learning a Disentangled Gait Representation for Versatile
Quadruped Locomotion},
author={Mitchell AL, Merkt W, Geisert M, Gangapurwala S, Engelcke M et al.},
year = "2021"
}
APEX: Unsupervised, Object-Centric Scene Segmentation and Tracking for Robot Manipulation
Wu Y, Jones OP, Engelcke M & Posner I (2021)
BibTeX
@misc{apexunsupervise-2021/5,
title={APEX: Unsupervised, Object-Centric Scene Segmentation and Tracking for
Robot Manipulation},
author={Wu Y, Jones OP, Engelcke M & Posner I},
year = "2021"
}
GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement
Engelcke M, Jones OP & Posner I (2021)
BibTeX
@misc{genesisvinferri-2021/4,
title={GENESIS-V2: Inferring Unordered Object Representations without Iterative
Refinement},
author={Engelcke M, Jones OP & Posner I},
year = "2021"
}
There and Back Again: Learning to Simulate Radar Data for Real-World Applications
Weston R, Jones OP & Posner I (2020)
BibTeX
@misc{thereandbackaga-2020/11,
title={There and Back Again: Learning to Simulate Radar Data for Real-World
Applications},
author={Weston R, Jones OP & Posner I},
year = "2020"
}
Reconstruction Bottlenecks in Object-Centric Generative Models
Engelcke M, Jones OP & Posner I (2020)
BibTeX
@misc{reconstructionb-2020/7,
title={Reconstruction Bottlenecks in Object-Centric Generative Models},
author={Engelcke M, Jones OP & Posner I},
year = "2020"
}
