publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2025

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    Representation Shattering in Transformers: A Synthetic Study with Knowledge Editing
    Kento Nishi, Maya Okawa, Rahul Ramesh, and 3 more authors
    In International Conference on Machine Learning (ICML), 2025
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  2. park2025incontext.gif
    In-Context Learning of Representations
    Core F. Park, Andrew Lee, Ekdeep Singh Lubana, and 5 more authors
    In International Conference on Learning Representations (ICLR), 2025
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  3. Dynamics of Concept Learning and Compositional Generalization
    Yongyi Yang, Core F. Park, Ekdeep Singh Lubana, and 3 more authors
    In International Conference on Learning Representations (ICLR), 2025
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2024

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    Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space
    Maya Okawa, Core F Park, Andrew Lee, and 2 more authors
    In Advances in Neural Information Processing Systems (NeurIPS), 2024
    Spotlight
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  2. Towards an Understanding of Stepwise Inference in Transformers: A Synthetic Graph Navigation Model
    Mikail Khona, Maya Okawa, Jan Hula, and 5 more authors
    In International Conference on Machine Learning (ICML), 2024
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2023

  1. okawa2023compositional.gif
    Compositional Abilities Emerge Multiplicatively: Exploring Diffusion Models on a Synthetic Task
    Maya Okawa, Ekdeep S Lubana, Robert Dick, and 1 more author
    In Advances in Neural Information Processing Systems (NeurIPS), 2023
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2022

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    Predicting Opinion Dynamics via Sociologically-Informed Neural Networks
    Maya Okawa and Tomoharu Iwata
    In 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2022
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2021

  1. Hawkes Processes for Discovering Time-evolving Communities’ States behind Diffusion Processes
    Maya Okawa, Tomoharu Iwata, Yusuke Tanaka, and 3 more authors
    In 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2021

2019

  1. Deep Mixture Point Processes: Spatio-temporal Event Prediction with Rich Contextual Information Dynamic
    Maya Okawa, Tomoharu Iwata, Takeshi Kurashima, and 3 more authors
    In 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2019
  2. Refining Coarse-Grained Spatial Data Using Auxiliary Spatial Data Sets with Various Granularities
    Yusuke Tanaka, Tomoharu Iwata, Toshiyuki Tanaka, and 3 more authors
    In 32nd AAAI Conference on Artificial Intelligence (AAAI), 2019
  3. Spatially aggregated Gaussian processes with multivariate areal outputs
    Yusuke Tanaka, Toshiyuki Tanaka, Tomoharu Iwata, and 4 more authors
    In Advances in Neural Information Processing Systems (NeurIPS), 2019

2017

  1. Online traffic flow prediction using convolved bilinear Poisson regression
    Maya Okawa, Hideaki Kim, and Hiroyuki Toda
    In 18th IEEE International Conference on Mobile Data Management (MDM), 2017