Kazuki Yoshiyama

According to our database, Kazuki Yoshiyama authored at least 9 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

NDJIR: Neural Direct and Joint Inverse Rendering for Geometry, Lights, and Materials of Real Object.

Kazuki Yoshiyama, Takuya Narihira

CoRR, 2023

2021

Neural Network Libraries: A Deep Learning Framework Designed from Engineers' Perspectives.

Akio Hayakawa, Masato Ishii, Yoshiyuki Kobayashi, Akira Nakamura, Takuya Narihira, Yukio Obuchi, Andrew Shin, Takuya Yashima, Kazuki Yoshiyama

CoRR, 2021

2020

Iteratively Training Look-Up Tables for Network Quantization.

Fabien Cardinaux, Stefan Uhlich, Kazuki Yoshiyama, Javier Alonso García, Lukas Mauch, Stephen Tiedemann, Thomas Kemp, Akira Nakamura

IEEE J. Sel. Top. Signal Process., 2020

Efficient Sampling for Predictor-Based Neural Architecture Search.

Lukas Mauch, Stephen Tiedemann, Javier Alonso García, Bac Nguyen Cong, Kazuki Yoshiyama, Fabien Cardinaux, Thomas Kemp

CoRR, 2020

Mixed Precision DNNs: All you need is a good parametrization.

Stefan Uhlich, Lukas Mauch, Fabien Cardinaux, Kazuki Yoshiyama, Javier Alonso García, Stephen Tiedemann, Thomas Kemp, Akira Nakamura

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Differentiable Quantization of Deep Neural Networks.

Stefan Uhlich, Lukas Mauch, Kazuki Yoshiyama, Fabien Cardinaux, Javier Alonso García, Stephen Tiedemann, Thomas Kemp, Akira Nakamura

CoRR, 2019

2018

Iteratively Training Look-Up Tables for Network Quantization.

Fabien Cardinaux, Stefan Uhlich, Kazuki Yoshiyama, Javier Alonso García, Stephen Tiedemann, Thomas Kemp, Akira Nakamura

CoRR, 2018

2014

Laplacian minimax probability machine.

Kazuki Yoshiyama, Akito Sakurai

Pattern Recognit. Lett., 2014

2011

Manifold-Regularized Minimax Probability Machine.

Kazuki Yoshiyama, Akito Sakurai

Proceedings of the Partially Supervised Learning - First IAPR TC3 Workshop, 2011