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ORCIDMasahiro Suzuki 0001
Person information
- affiliation: University of Tokyo, Japan
Other persons with the same name
- Masahiro Suzuki — disambiguation page
- Masahiro Suzuki 0002
![[0000-0003-1411-5135]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-1411-5135")
— Yamaha Corporation, Shizuoka, Japan - Masahiro Suzuki 0003 — Seisen University, Japan
- Masahiro Suzuki 0004 — Nikko Asset Management Co., Ltd., Japan
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2020 – today
- 2025
[i13]Yuta Oshima, Masahiro Suzuki, Yutaka Matsuo, Hiroki Furuta:
Inference-Time Text-to-Video Alignment with Diffusion Latent Beam Search. CoRR abs/2501.19252 (2025)- 2024
- [c7]Shohei Taniguchi, Keno Harada, Gouki Minegishi, Yuta Oshima, Seong Cheol Jeong, Go Nagahara, Tomoshi Iiyama, Masahiro Suzuki, Yusuke Iwasawa, Yutaka Matsuo:
ADOPT: Modified Adam Can Converge with Any β2 with the Optimal Rate. NeurIPS 2024 - [i12]Yuta Oshima, Shohei Taniguchi, Masahiro Suzuki, Yutaka Matsuo:
SSM Meets Video Diffusion Models: Efficient Video Generation with Structured State Spaces. CoRR abs/2403.07711 (2024) - [i11]Wakana Haijima, Kou Nakakubo, Masahiro Suzuki, Yutaka Matsuo:
The Embodied World Model Based on LLM with Visual Information and Prediction-Oriented Prompts. CoRR abs/2406.00765 (2024) - [i10]Yuta Oshima, Masahiro Suzuki, Yutaka Matsuo:
Enhancing Unimodal Latent Representations in Multimodal VAEs through Iterative Amortized Inference. CoRR abs/2410.11403 (2024) - [i9]Cristian Meo, Akihiro Nakano, Mircea Lica, Aniket Didolkar, Masahiro Suzuki, Anirudh Goyal, Mengmi Zhang, Justin Dauwels, Yutaka Matsuo, Yoshua Bengio:
Object-Centric Temporal Consistency via Conditional Autoregressive Inductive Biases. CoRR abs/2410.15728 (2024) - [i8]Shohei Taniguchi, Keno Harada, Gouki Minegishi, Yuta Oshima, Seong Cheol Jeong, Go Nagahara, Tomoshi Iiyama, Masahiro Suzuki, Yusuke Iwasawa, Yutaka Matsuo:
ADOPT: Modified Adam Can Converge with Any β2 with the Optimal Rate. CoRR abs/2411.02853 (2024) - 2023
- [j5]Yuya Kobayashi, Masahiro Suzuki, Yutaka Matsuo:
Learning global spatial information for multi-view object-centric models. Adv. Robotics 37(13): 828-839 (2023) - [j4]Masahiro Suzuki, Takaaki Kaneko, Yutaka Matsuo:
Pixyz: a Python library for developing deep generative models. Adv. Robotics 37(19): 1221-1236 (2023) - [j3]Hitoshi Nakanishi, Masahiro Suzuki, Yutaka Matsuo:
HAWK-Net: Hierarchical Attention Weighted Top-K Network for High-resolution Image Classification. J. Inf. Process. 31: 851-859 (2023) - [c6]Akihiro Nakano, Masahiro Suzuki, Yutaka Matsuo:
Interaction-Based Disentanglement of Entities for Object-Centric World Models. ICLR 2023 - [c5]Shohei Taniguchi, Masahiro Suzuki, Yusuke Iwasawa, Yutaka Matsuo:
End-to-end Training of Deep Boltzmann Machines by Unbiased Contrastive Divergence with Local Mode Initialization. ICML 2023: 33804-33815 - [c4]Kazutoshi Shinoda, Yuki Takezawa, Masahiro Suzuki, Yusuke Iwasawa, Yutaka Matsuo:
Improving the Robustness to Variations of Objects and Instructions with a Neuro-Symbolic Approach for Interactive Instruction Following. MMM (2) 2023: 635-646 - [i7]Shohei Taniguchi, Masahiro Suzuki, Yusuke Iwasawa, Yutaka Matsuo:
End-to-end Training of Deep Boltzmann Machines by Unbiased Contrastive Divergence with Local Mode Initialization. CoRR abs/2305.19684 (2023) - 2022
- [j2]Masahiro Suzuki, Yutaka Matsuo:
A survey of multimodal deep generative models. Adv. Robotics 36(5-6): 261-278 (2022) - [j1]Hitoshi Nakanishi, Masahiro Suzuki, Yutaka Matsuo:
Fixing the Train-test Objective Discrepancy: Iterative Image Inpainting for Unsupervised Anomaly Detection. J. Inf. Process. 30: 495-504 (2022) - [i6]Masahiro Suzuki, Yutaka Matsuo:
A survey of multimodal deep generative models. CoRR abs/2207.02127 (2022) - 2021
- [i5]Masahiro Suzuki, Takaaki Kaneko, Yutaka Matsuo:
Pixyz: a library for developing deep generative models. CoRR abs/2107.13109 (2021) - [i4]Kazutoshi Shinoda, Yuki Takezawa, Masahiro Suzuki, Yusuke Iwasawa, Yutaka Matsuo:
Improving the Robustness to Variations of Objects and Instructions with a Neuro-Symbolic Approach for Interactive Instruction Following. CoRR abs/2110.07031 (2021)
2010 – 2019
- 2019
- [c3]Shizuma Kubo, Yusuke Iwasawa, Masahiro Suzuki, Yutaka Matsuo:
UVTON: UV Mapping to Consider the 3D Structure of a Human in Image-Based Virtual Try-On Network. ICCV Workshops 2019: 3105-3108 - [c2]Hirono Okamoto, Masahiro Suzuki, Itto Higuchi, Shohei Ohsawa, Yutaka Matsuo:
Dual Space Learning with variational Autoencoders. DGS@ICLR 2019 - 2018
- [i3]Masahiro Suzuki, Kotaro Nakayama, Yutaka Matsuo:
Improving Bi-directional Generation between Different Modalities with Variational Autoencoders. CoRR abs/1801.08702 (2018) - 2017
- [c1]Masahiro Suzuki, Kotaro Nakayama, Yutaka Matsuo:
Joint Multimodal Learning with Deep Generative Models. ICLR (Workshop) 2017 - 2016
- [i2]Masahiro Suzuki, Kotaro Nakayama, Yutaka Matsuo:
Joint Multimodal Learning with Deep Generative Models. CoRR abs/1611.01891 (2016) - [i1]Joji Toyama, Masanori Misono, Masahiro Suzuki, Kotaro Nakayama, Yutaka Matsuo:
Neural Machine Translation with Latent Semantic of Image and Text. CoRR abs/1611.08459 (2016)
Coauthor Index
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