Search Results for author: Yusuke Tashiro

Found 3 papers, 2 papers with code

Provably Calibrated Regression Under Distribution Drift

no code implementations29 Sep 2021 Shengjia Zhao, Yusuke Tashiro, Danny Tse, Stefano Ermon

Accurate uncertainty quantification is a key building block of trustworthy machine learning systems.

regression Time Series +2

CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation

4 code implementations NeurIPS 2021 Yusuke Tashiro, Jiaming Song, Yang song, Stefano Ermon

In this paper, we propose Conditional Score-based Diffusion models for Imputation (CSDI), a novel time series imputation method that utilizes score-based diffusion models conditioned on observed data.

Audio Synthesis Image Generation +3

Diversity can be Transferred: Output Diversification for White- and Black-box Attacks

1 code implementation NeurIPS 2020 Yusuke Tashiro, Yang song, Stefano Ermon

Adversarial attacks often involve random perturbations of the inputs drawn from uniform or Gaussian distributions, e. g., to initialize optimization-based white-box attacks or generate update directions in black-box attacks.

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