Taniguchi, Shohei

7 publications

ICML 2025 Beyond Induction Heads: In-Context Meta Learning Induces Multi-Phase Circuit Emergence Gouki Minegishi, Hiroki Furuta, Shohei Taniguchi, Yusuke Iwasawa, Yutaka Matsuo
ICLRW 2025 FullDiffusion: Diffusion Models Without Time Truncation Shohei Taniguchi, Masahiro Suzuki, Yusuke Iwasawa, Yutaka Matsuo
ICLRW 2025 In-Context Meta Learning Induces Multi-Phase Circuit Emergence Gouki Minegishi, Hiroki Furuta, Shohei Taniguchi, Yusuke Iwasawa, Yutaka Matsuo
NeurIPS 2024 ADOPT: Modified Adam Can Converge with Any $\beta_2$ with the Optimal Rate Shohei Taniguchi, Keno Harada, Gouki Minegishi, Yuta Oshima, Seong Cheol Jeong, Go Nagahara, Tomoshi Iiyama, Masahiro Suzuki, Yusuke Iwasawa, Yutaka Matsuo
ICLRW 2024 SSM Meets Video Diffusion Models: Efficient Video Generation with Structured State Spaces Yuta Oshima, Shohei Taniguchi, Masahiro Suzuki, Yutaka Matsuo
ICML 2023 End-to-End Training of Deep Boltzmann Machines by Unbiased Contrastive Divergence with Local Mode Initialization Shohei Taniguchi, Masahiro Suzuki, Yusuke Iwasawa, Yutaka Matsuo
NeurIPS 2022 Langevin Autoencoders for Learning Deep Latent Variable Models Shohei Taniguchi, Yusuke Iwasawa, Wataru Kumagai, Yutaka Matsuo