Masahiro Suzuki

According to our database, Masahiro Suzuki authored at least 28 papers between 2016 and 2026.

Collaborative distances:

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

2026

SSM Meets Video Diffusion Models: Efficient Long-Term Video Generation with Structured State Spaces.

Yuta Oshima, Shohei Taniguchi, Masahiro Suzuki, Yutaka Matsuo

New Gener. Comput., August, 2026

Enhancing Unimodal Latent Representations in Multimodal VAEs Through Iterative Amortized Inference.

Yuta Oshima, Masahiro Suzuki, Yutaka Matsuo

New Gener. Comput., May, 2026

2025

WorldPack: Compressed Memory Improves Spatial Consistency in Video World Modeling.

Yuta Oshima, Yusuke Iwasawa, Masahiro Suzuki, Yutaka Matsuo, Hiroki Furuta

CoRR, December, 2025

MultiBanana: A Challenging Benchmark for Multi-Reference Text-to-Image Generation.

Yuta Oshima, Daiki Miyake, Kohsei Matsutani, Yusuke Iwasawa, Masahiro Suzuki, Yutaka Matsuo, Hiroki Furuta

CoRR, November, 2025

When Object-Centric World Models Meet Policy Learning: From Pixels to Policies, and Where It Breaks.

Stefano Ferraro, Akihiro Nakano, Masahiro Suzuki, Yutaka Matsuo

CoRR, November, 2025

How Semantically Informative is an Image?: Measuring the Covariance-Weighted Norm of Contrastive Learning Embeddings.

Fumiya Uchiyama, Rintaro Yanagi, Shohei Taniguchi, Shota Takashiro, Masahiro Suzuki, Hirokatsu Kataoka, Yusuke Iwasawa, Yutaka Matsuo

CoRR, June, 2025

Inference-Time Text-to-Video Alignment with Diffusion Latent Beam Search.

Yuta Oshima, Masahiro Suzuki, Yutaka Matsuo, Hiroki Furuta

CoRR, January, 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

Trans. Mach. Learn. Res., 2025

Efficient Object-Centric Representation Learning using Masked Generative Modeling.

Akihiro Nakano, Masahiro Suzuki, Yutaka Matsuo

Trans. Mach. Learn. Res., 2025

2024

Object-Centric Temporal Consistency via Conditional Autoregressive Inductive Biases.

Cristian Meo, Akihiro Nakano, Mircea Lica, Aniket Didolkar, Masahiro Suzuki, Anirudh Goyal, Mengmi Zhang, Justin Dauwels, Yutaka Matsuo, Yoshua Bengio

CoRR, 2024

The Embodied World Model Based on LLM with Visual Information and Prediction-Oriented Prompts.

Wakana Haijima, Kou Nakakubo, Masahiro Suzuki, Yutaka Matsuo

CoRR, 2024

SSM Meets Video Diffusion Models: Efficient Video Generation with Structured State Spaces.

Yuta Oshima, Shohei Taniguchi, Masahiro Suzuki, Yutaka Matsuo

CoRR, 2024

ADOPT: Modified Adam Can Converge with Any β₂ 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

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 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

Proceedings of the Geometry-grounded Representation Learning and Generative Modeling Workshop (GRaM) at ICML 2024, 2024

2023

Pixyz: a Python library for developing deep generative models.

Masahiro Suzuki, Takaaki Kaneko, Yutaka Matsuo

Adv. Robotics, October, 2023

Learning global spatial information for multi-view object-centric models.

Yuya Kobayashi, Masahiro Suzuki, Yutaka Matsuo

Adv. Robotics, July, 2023

HAWK-Net: Hierarchical Attention Weighted Top-K Network for High-resolution Image Classification.

Hitoshi Nakanishi, Masahiro Suzuki, Yutaka Matsuo

J. Inf. Process., 2023

Improving the Robustness to Variations of Objects and Instructions with a Neuro-Symbolic Approach for Interactive Instruction Following.

Kazutoshi Shinoda, Yuki Takezawa, Masahiro Suzuki, Yusuke Iwasawa, Yutaka Matsuo

Proceedings of the MultiMedia Modeling - 29th International Conference, 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

Proceedings of the International Conference on Machine Learning, 2023

Interaction-Based Disentanglement of Entities for Object-Centric World Models.

Akihiro Nakano, Masahiro Suzuki, Yutaka Matsuo

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Fixing the Train-test Objective Discrepancy: Iterative Image Inpainting for Unsupervised Anomaly Detection.

Hitoshi Nakanishi, Masahiro Suzuki, Yutaka Matsuo

J. Inf. Process., 2022

A survey of multimodal deep generative models.

Masahiro Suzuki, Yutaka Matsuo

Adv. Robotics, 2022

2021

Pixyz: a library for developing deep generative models.

Masahiro Suzuki, Takaaki Kaneko, Yutaka Matsuo

CoRR, 2021

2019

Dual Space Learning with variational Autoencoders.

Hirono Okamoto, Masahiro Suzuki, Itto Higuchi, Shohei Ohsawa, Yutaka Matsuo

Proceedings of the Deep Generative Models for Highly Structured Data, 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

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

Improving Bi-directional Generation between Different Modalities with Variational Autoencoders.

Masahiro Suzuki, Kotaro Nakayama, Yutaka Matsuo

CoRR, 2018

2017

Joint Multimodal Learning with Deep Generative Models.

Masahiro Suzuki, Kotaro Nakayama, Yutaka Matsuo

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

Neural Machine Translation with Latent Semantic of Image and Text.

Joji Toyama, Masanori Misono, Masahiro Suzuki, Kotaro Nakayama, Yutaka Matsuo

CoRR, 2016