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About!

I'm Ryuichiro Hataya, PhD, a postdoctoral researcher at RIKEN AIP (High-Dimensional Causal Analysis Team).

News

  • Our papers "Transformers as Stochastic Optimizers" (Hataya & Imaizumi) and "Automatic Domain Adaptation by Transformers in In-Context Learning" (Hataya & Matsui & Imaizumi) have been accepted at the ICML 2024 Workshop on In-Context Learning.
  • I will visit CENTAI @ Torino🇮🇹.
  • I will visit Wien🇦🇹 to attend ICML.
  • I will visit Aix-Marseille University @ Marseille🇫🇷.
  • I will visit A*STAR CFAR @ Singapore🇸🇬.
  • Our paper "Self-attention Networks Localize When QK-eigenspectrum Concentrates" is accepted at ICML.
  • I will attend FIMI @ Bristol🇬🇧.
  • I will attend DLWS @ Tokyo🇯🇵.
  • I will attend MLSS @ Okinawa🇯🇵 as an organizer.
  • Our paper “Sketch-based Semantic Retrieval of Medical Images” (Kobayashi et al.) has been accepted at Medical Image Analysis.
  • I will attend QTML @ Geneve🇨🇭.
  • I will visit Nicolaus Copernicus University Poland @ Torun🇵🇱 from Sep 25th to 30th and then attend ICCV @ Paris🇫🇷.
  • I will visit the Okinawa Institute of Science and Technology🇯🇵 from Aug 29th to Sep 1st.
  • Our paper "An Empirical Investigation of Pre-trained Model Selection for Out-of-Distribution Generalization and Calibration" is accepted at ICCV 2023 Workshop on Uncertainty Quantification for Computer Vision.
  • Our paper "Will Large-scale Generative Models Corrupt Future Datasets?" is accepted at ICCV 2023.
  • Our paper "Towards AI-driven radiology education: A self-supervised segmentation-based framework for high-precision medical image editing" is accepted at MICCAI 2023.
  • I will attend AISTATS @ València🇪🇸 at the end of April and visit IIT @ Genova🇮🇹 at the beginning of May.
  • I will visit the Vietnam Institute for Advanced Study in Mathematics @ Ha Noi🇻🇳 on April 2023.
  • I will visit EPFL CIS @ Lausanne🇨🇭 and Fraunhofer IIS @ Nürnberg🇩🇪 from 8th to 15th March 2023.
  • Our paper "Nyström Method for Accurate and Scalable Implicit Differentiation" is accepted at AISTATS 2023.
  • I received a doctoral degree as a representative student of the Graduate School of Information Science and Technology, UTokyo.
  • I visted at IIT @ Genova on July 2022.
  • I successfully defended my PhD thesis!
  • Our paper "DJMix: Unsupervised Task-agnostic Image Augmentation for Improving Robustness of Convolutional Neural Networks" is accepted at IJCNN 2022.
  • I am promoted to Excellent Research Assistant @ UTokyo.
  • Our paper "Meta Approach to Data Augmentation Optimization" has been accepted to WACV 2022.

Stats

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Ryuichiro Hataya's Projects

anatome icon anatome

Ἀνατομή is a PyTorch library to analyze representation of neural networks

chika icon chika

chika is a simple and easy config tool for hierarchical configurations.

cuda-training-series icon cuda-training-series

Training materials associated with NVIDIA's CUDA Training Series (www.olcf.ornl.gov/cuda-training-series/)

dda icon dda

Differentiable Data Augmentation Library

echood icon echood

an electron based GUI assistant tool to configure machine learning projects

edm icon edm

Elucidating the Design Space of Diffusion-Based Generative Models (EDM)

gsync icon gsync

Simple PyDrive wrapper and command line tool.

homura icon homura

homura is a library for fast prototyping DL research

honen icon honen

A wrapper of matplotlib for myself

hypergrad icon hypergrad

Simple and extensible hypergradient for PyTorch

iclr icon iclr

In Context Learning Research

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