Suzuki, Masahiro

17 publications

TMLR 2025 Efficient Object-Centric Representation Learning Using Masked Generative Modeling Akihiro Nakano, Masahiro Suzuki, Yutaka Matsuo
ICLRW 2025 FullDiffusion: Diffusion Models Without Time Truncation Shohei Taniguchi, Masahiro Suzuki, Yusuke Iwasawa, Yutaka Matsuo
NeurIPS 2025 Inference-Time Text-to-Video Alignment with Diffusion Latent Beam Search Yuta Oshima, Masahiro Suzuki, Yutaka Matsuo, Hiroki Furuta
TMLR 2025 The Geometry of Phase Transitions in Diffusion Models: Tubular Neighbourhoods and Singularities Manato Yaguchi, Kotaro Sakamoto, Ryosuke Sakamoto, Masato Tanabe, Masatomo Akagawa, Yusuke Hayashi, Masahiro Suzuki, 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
NeurIPSW 2024 Faster Slot Decoding Using Masked Transformer Akihiro Nakano, Masahiro Suzuki, Yutaka Matsuo
NeurIPSW 2024 Object-Centric Temporal Consistency via Conditional Autoregressive Inductive Biases Cristian Meo, Akihiro Nakano, Mircea Tudor Lică, Aniket Rajiv Didolkar, Masahiro Suzuki, Anirudh Goyal, Mengmi Zhang, Justin Dauwels, Yutaka Matsuo, Yoshua Bengio
ICLRW 2024 SSM Meets Video Diffusion Models: Efficient Video Generation with Structured State Spaces Yuta Oshima, Shohei Taniguchi, Masahiro Suzuki, Yutaka Matsuo
ICMLW 2024 The Embodied World Model Based on LLM with Visual Information and Prediction-Oriented Prompts Wakana Haijima, Kou Nakakubo, Masahiro Suzuki, Yutaka Matsuo
ICMLW 2024 The Geometry of Diffusion Models: Tubular Neighbourhoods and Singularities Kotaro Sakamoto, Ryosuke Sakamoto, Masato Tanabe, Masatomo Akagawa, Yusuke Hayashi, Manato Yaguchi, 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
ICLR 2023 Interaction-Based Disentanglement of Entities for Object-Centric World Models Akihiro Nakano, Masahiro Suzuki, Yutaka Matsuo
NeurIPSW 2023 JMedLoRA:Medical Domain Adaptation on Japanese Large Language Models Using Instruction-Tuning Issey Sukeda, Masahiro Suzuki, Hiroki Sakaji, Satoshi Kodera
ICLR 2020 Out-of-Distribution Detection Using Layerwise Uncertainty in Deep Neural Networks Hirono Okamoto, Masahiro Suzuki, Yutaka Matsuo
ICLRW 2019 Dual Space Learning with Variational Autoencoders Hirono Okamoto, Masahiro Suzuki, Itto Higuchi, Shohei Ohsawa, Yutaka Matsuo
ICCVW 2019 UVTON: UV Mapping to Consider the 3D Structure of a Human in Image-Based Virtual Try-on Network Shizuma Kubo, Yusuke Iwasawa, Masahiro Suzuki, Yutaka Matsuo
ICLR 2017 Joint Multimodal Learning with Deep Generative Models Masahiro Suzuki, Kotaro Nakayama, Yutaka Matsuo