Futoshi Futami

Futoshi Futami

Lecturer at Osaka University, Japan

Futoshi Futami

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Lecturer at Osaka University, Japan.

I am a machine learning researcher. My interest is probabilistic approaches, including variational inference, Monte Carlo sampling methods.

My CV can be found here

NEWS

  • Our paper was accepted in NeurIPS 2023.
    • F. Futami, & M. Fujisawa. Time-Independent Information-Theoretic Generalization Bounds for SGLD.
  • Our paper was accepted in AISTATS 2022.
    • F. Futami, T. Iwata, N. Ueda, I. Sato, & M. Sugiyama. Predictive variational Bayesian inference as risk-seeking optimization.
  • Our paper was accepted in NeurIPS 2021.
    • F. Futami, T. Iwata, N. Ueda, I. Sato, & M. Sugiyama. Loss function based second-order Jensen inequality and its application to particle variational inference.
  • Our two papers were accepted in ACML 2021.
    • F. Futami, T. Iwata, N. Ueda, & I.Yamane. Skew-symmetrically perturbed gradient flow for convex optimization.
    • F. Futami. Scalable gradient matching based on state space Gaussian Processes (Selected as Best Paper Runner-up).
  • Our paper was accepted in Entropy (Jounal, 2021)
    • F. Futami, T. Iwata, N. Ueda, & I. Sato. Accelerated Diffusion-Based Sampling by the Non-Reversible Dynamics with Skew-Symmetric Matrices.
  • Our paper was accepted in ICML 2020
    • F. Futami, I. Sato, & M. Sugiyama. Accelerating the diffusion-based ensemble sampling by non-reversible dynamics.
  • Our paper was accepted in AAAI 2019
    • F. Futami, Z. Cui, I. Sato, & M. Sugiyama. Bayesian posterior approximation via greedy particle optimization.
  • Our paper was accepted in AISTATS 2018
    • F. Futami, I. Sato, & M. Sugiyama. Variational Inference based on Robust Divergences.
  • Our paper was accepted in NeurIPS 2017
    • F. Futami, I. Sato, & M. Sugiyama. Expectation Propagation for t-exponential family using q-Algebra.

RESEARCH INTERESTS

  • Stochastic process
  • Monte Caro methods
  • Probabilistic Inference
  • Approximate Bayesian inference
  • Gaussian Process

CONTACT

  • Email: futami.futoshi.es [at] osaka-u.ac.jp

  • Address: Graduate School of Engineering Science, Osaka University, Toyonaka, Osaka, 560-8531, Japan