2023

• Gemini: A family of highly capable multimodal models

  Gemini Team
  ArXiV
  

  [pdf] [citation] [blog]

  @article{team2023gemini,
    title={Gemini: a family of highly capable multimodal models},
    author={Team, Gemini and Anil, Rohan and Borgeaud, Sebastian and Wu, Yonghui and Alayrac, Jean-Baptiste and Yu, Jiahui and Soricut, Radu and Schalkwyk, Johan and Dai, Andrew M and Hauth, Anja and others},
    journal={arXiv preprint arXiv:2312.11805},
    year={2023}
  }
                              





• Human-timescale adaptation in an open-ended task space

  AdA team: Jakob Bauer, Kate Baumli, Feryal Behbahani, Avishkar Bhoopchand, Nathalie Bradley-Schmieg, Michael Chang, Natalie Clay, Adrian Collister, Vibhavari Dasagi, Lucy Gonzalez, Karol Gregor, Edward Hughes, Sheleem Kashem, Maria Loks-Thompson, Hannah Openshaw, Jack Parker-Holder, Shreya Pathak, Nicolas Perez-Nieves, Nemanja Rakicevic, Tim Rocktäschel, Yannick Schroecker, Satinder Singh, Jakub Sygnowski, Karl Tuyls, Sarah York, Alexander Zacherl, Lei M Zhang
  International Conference on Machine Learning
  (Oral presentation)

  [pdf] [citation] [website] [New Scientist]

  @article{bauer2023human,
    title={Human-Timescale Adaptation in an Open-Ended Task Space},
    author={Bauer, Jakob and Baumli, Kate and Behbahani, Feryal and Bhoopchand, Avishkar and Bradley-Schmieg, Nathalie and Chang, Michael and Clay, Natalie and Collister, Adrian and Dasagi, Vibhavari and Gonzalez, Lucy and others},
    year={2023}
  }
                              

2021

• Policy Manifold Search: Exploring the Manifold Hypothesis for Diversity-based Neuroevolution

  N. Rakicevic, A. Cully and P. Kormushev.
  Genetic and Evolutionary Computation Conference, 2012

  [pdf] [citation] [website] [video] [code]

  @inproceedings{rakicevic2021policy,
      title={Policy manifold search: exploring the manifold hypothesis for diversity-based neuroevolution},
      author={Rakicevic, Nemanja and Cully, Antoine and Kormushev, Petar},
      booktitle={Proceedings of the Genetic and Evolutionary Computation Conference},
      pages={901--909},
      year={2021}
  }
                              





• ResQbot 2.0: An Improved Design of a Mobile Rescue Robot with an Inflatable Neck Securing Device for Safe Casualty Extraction

  R.P. Saputra, N. Rakicevic, I. Kuder, J. Bilsdorfer, A. Gough, A. Dakin, E. de Cocker, S. Rock, R. Harpin and P. Kormushev.
  Multidisciplinary Digital Publishing Institute (MDPI), 2021

  [pdf] [citation] [website]

  @article{saputra2021resqbot,
      title={ResQbot 2.0: An Improved Design of a Mobile Rescue Robot with an Inflatable Neck Securing Device for Safe Casualty Extraction},
      author={Saputra, Roni Permana and Rakicevic, Nemanja and Kuder, Isabelle and Bilsdorfer, Joel and Gough, Alexander and Dakin, Alexandra and de Cocker, Emma and Rock, Shaun and Harpin, Richard and Kormushev, Petar},
      journal={Applied Sciences},
      volume={11},
      number={12},
      pages={5414},
      year={2021},
      publisher={Multidisciplinary Digital Publishing Institute}
  }
                              





• Hierarchical Decomposed-Objective Model Predictive Control for Autonomous Casualty Extraction

  R.P. Saputra, N. Rakicevic, D Chappell, K Wang and P. Kormushev.
  IEEE Access, 2021

  [pdf] [citation] [website]

  @article{saputra2021hierarchical,
      title={Hierarchical Decomposed-Objective Model Predictive Control for Autonomous Casualty Extraction},
      author={Saputra, Roni Permana and Rakicevic, Nemanja and Chappell, Digby and Wang, Ke and Kormushev, Petar},
      journal={IEEE Access},
      volume={9},
      pages={39656--39679},
      year={2021},
      publisher={IEEE},
      doi={10.1109/ACCESS.2021.3063782}
  }
                                  

2020

• Policy Manifold Search for Improving Diversity-based Neuroevolution

  N. Rakicevic, A. Cully and P. Kormushev.
  Beyond Backpropagation: Novel Ideas for Training Neural Architectures Workshop, (NeurIPS'20)
  [oral 8% acceptance rate]

  [pdf] [citation] [video] [poster]

  @inproceedings{rakicevic2020policy,
      title={Policy Manifold Search for Improving Diversity-based Neuroevolution},
      author={Rakicevic, Nemanja and Cully, Antoine and Kormushev, Petar},
      booktitle={NeurIPS 2020 Beyond Backpropagation: Novel Ideas for Training Neural Architectures, 34th Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada},
      year={2020}
  }
                              

2019

• Sim-to-Real Learning for Casualty Detection from Ground Projected Point Cloud Data

  R.P. Saputra, N. Rakicevic and P. Kormushev.
  International Conference on Intelligent Robots and Systems (IROS), 2019

  [pdf] [citation]

  @inproceedings{saputra2019sim,
      title={Sim-to-Real Learning for Casualty Detection from Ground Projected Point Cloud Data},
      author={Saputra, Roni Permana and Rakicevic, Nemanja and Kormushev, Petar},
      booktitle={2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
      pages={3918--3925},
      year={2019},
      organization={IEEE}
  }
                              

  [website]




• Active Learning via Informed Search in Movement Parameter Space for Efficient Robot Task Learning and Transfer

  N. Rakicevic and P. Kormushev.
  Autonomous Robots (AURO), 2019

  [pdf] [citation] [website] [code]

  @article{rakicevic2019active,
      title={Active learning via informed search in movement parameter space for efficient robot task learning and transfer},
      author={Rakicevic, Nemanja and Kormushev, Petar},
      journal={Autonomous Robots},
      volume={43},
      number={8},
      pages={1917--1935},
      year={2019},
      publisher={Springer}
  }
                              

2017

• Efficient Robot Task Learning and Transfer via Informed Search in Movement Parameter Space

  N. Rakicevic and P. Kormushev.
  Workshop on Acting and Interacting in the Real World: Challenges in Robot Learning (AIRW), (NIPS'17)

  [pdf] [citation] [poster]

  @inproceedings{rakicevic2017efficient,
      title={Efficient robot task learning and transfer via informed search in movement parameter space},
      author={Rakicevic, Nemanja and Kormushev, Petar},
      booktitle={NIPS 2017 Workshop on Acting and Interacting in the Real World: Challenges in Robot Learning, 31st Conference on Neural Information Processing Systems (NIPS), California, USA},
      year={2017}
  }
                              

2016

• Multi-modal Neural Conditional Ordinal Random Fields for Agreement Level Estimation

  N. Rakicevic, O. Rudovic, S. Petridis and M. Pantic.
  International Conference on Pattern Recognition (ICPR'16)

  [pdf] [citation]

  @inproceedings{rakicevic2016multi,
      title={Multi-modal neural conditional ordinal random fields for agreement level estimation},
      author={Rakicevic, Nemanja and Rudovic, Ognjen and Petridis, Stavros and Pantic, Maja},
      booktitle={2016 23rd International Conference on Pattern Recognition (ICPR)},
      pages={2228--2233},
      year={2016},
      organization={IEEE}
  }
                              

2015

• Neural Conditional Ordinal Random Fields for Agreement Level Estimation

  N. Rakicevic, O. Rudovic, S. Petridis and M. Pantic.
  1st International Workshop on Automatic Sentiment Analysis in the Wild (WASA'15), (ACII'15)

  [pdf] [citation]

  @inproceedings{rakicevic2015neural,
      title={Neural conditional ordinal random fields for agreement level estimation},
      author={Rakicevic, Nemanja and Rudovic, Ognjen and Petridis, Stavros and Pantic, Maja},
      booktitle={2015 International Conference on Affective Computing and Intelligent Interaction (ACII)},
      pages={885--890},
      year={2015},
      organization={IEEE}
  }