| 2026 | EACL | Look Before You Leap: A Lookahead Reasoning Quality Gate for Speculative Decoding. | Hiroaki Kingetsu, Kaoru Yokoo, Kenji Fukumizu, Manohar Kaul |
| 2025 | ICLR | Flow matching achieves almost minimax optimal convergence. | Kenji Fukumizu, Taiji Suzuki, Noboru Isobe, Kazusato Oko, Masanori Koyama |
| 2025 | ICLR | Compositional simulation-based inference for time series. | Manuel Glckler, Shoji Toyota, Kenji Fukumizu, Jakob H. Macke |
| 2025 | ICML | Scalable Sobolev IPM for Probability Measures on a Graph. | Tam Le, Truyen Nguyen, Hideitsu Hino, Kenji Fukumizu |
| 2024 | AISTATS | Optimal Transport for Measures with Noisy Tree Metric. | Tam Le, Truyen Nguyen, Kenji Fukumizu |
| 2024 | ICLR | Neural Fourier Transform: A General Approach to Equivariant Representation Learning. | Masanori Koyama, Kenji Fukumizu, Kohei Hayashi, Takeru Miyato |
| 2024 | ICML | Generalized Sobolev Transport for Probability Measures on a Graph. | Tam Le, Truyen Nguyen, Kenji Fukumizu |
| 2024 | ICML | Neural-Kernel Conditional Mean Embeddings. | Eiki Shimizu, Kenji Fukumizu, Dino Sejdinovic |
| 2023 | AISTATS | Scalable Unbalanced Sobolev Transport for Measures on a Graph. | Tam Le, Truyen Nguyen, Kenji Fukumizu |
| 2023 | ICML | Controlling Posterior Collapse by an Inverse Lipschitz Constraint on the Decoder Network. | Yuri Kinoshita, Kenta Oono, Kenji Fukumizu, Yuichi Yoshida, Shin-ichi Maeda |
| 2022 | ICLR | $\beta$-Intact-VAE: Identifying and Estimating Causal Effects under Limited Overlap. | Pengzhou Abel Wu, Kenji Fukumizu |
| 2021 | AAAI | A General Class of Transfer Learning Regression without Implementation Cost. | Shunya Minami, Song Liu, Stephen Wu, Kenji Fukumizu, Ryo Yoshida |
| 2021 | AAAI | Meta Learning for Causal Direction. | Jean-Franois Ton, Dino Sejdinovic, Kenji Fukumizu |
| 2020 | AISTATS | Causal Mosaic: Cause-Effect Inference via Nonlinear ICA and Ensemble Method. | Pengzhou Wu, Kenji Fukumizu |
| 2020 | ECCV | Exchangeable Deep Neural Networks for Set-to-Set Matching and Learning. | Yuki Saito, Takuma Nakamura, Hirotaka Hachiya, Kenji Fukumizu |
| 2020 | ICLR | Smoothness and Stability in GANs. | Casey Chu, Kentaro Minami, Kenji Fukumizu |
| 2019 | AISTATS | Deep Neural Networks Learn Non-Smooth Functions Effectively. | Masaaki Imaizumi, Kenji Fukumizu |
| 2019 | ICLR | Post Selection Inference with Incomplete Maximum Mean Discrepancy Estimator. | Makoto Yamada, Denny Wu, Yao-Hung Hubert Tsai, Hirofumi Ohta, Ruslan Salakhutdinov, Ichiro Takeuchi, Kenji Fukumizu |
| 2018 | AISTATS | Post Selection Inference with Kernels. | Makoto Yamada, Yuta Umezu, Kenji Fukumizu, Ichiro Takeuchi |
| 2018 | EMNLP | Pointwise HSIC: A Linear-Time Kernelized Co-occurrence Norm for Sparse Linguistic Expressions. | Sho Yokoi, Sosuke Kobayashi, Kenji Fukumizu, Jun Suzuki, Kentaro Inui |
| 2018 | ICLR | Selecting the Best in GANs Family: a Post Selection Inference Framework. | Yao-Hung Hubert Tsai, Denny Wu, Makoto Yamada, Ruslan Salakhutdinov, Ichiro Takeuchi, Kenji Fukumizu |
| 2018 | ICML | Kernel Recursive ABC: Point Estimation with Intractable Likelihood. | Takafumi Kajihara, Motonobu Kanagawa, Keisuke Yamazaki, Kenji Fukumizu |
| 2016 | AAAI | Flattening the Density Gradient for Eliminating Spatial Centrality to Reduce Hubness. | Kazuo Hara, Ikumi Suzuki, Kei Kobayashi, Kenji Fukumizu, Milos Radovanovic |
| 2016 | ICML | Persistence weighted Gaussian kernel for topological data analysis. | Genki Kusano, Yasuaki Hiraoka, Kenji Fukumizu |
| 2016 | ICML | Structure Learning of Partitioned Markov Networks. | Song Liu, Taiji Suzuki, Masashi Sugiyama, Kenji Fukumizu |
| 2016 | SDM | Estimating Posterior Ratio for Classification: Transfer Learning from Probabilistic Perspective. | Song Liu, Kenji Fukumizu |
| 2015 | AAAI | Localized Centering: Reducing Hubness in Large-Sample Data. | Kazuo Hara, Ikumi Suzuki, Masashi Shimbo, Kei Kobayashi, Kenji Fukumizu, Milos Radovanovic |
| 2015 | SIGIR | Reducing Hubness: A Cause of Vulnerability in Recommender Systems. | Kazuo Hara, Ikumi Suzuki, Kei Kobayashi, Kenji Fukumizu |
| 2015 | SISAP | Reducing Hubness for Kernel Regression. | Kazuo Hara, Ikumi Suzuki, Kei Kobayashi, Kenji Fukumizu, Milos Radovanovic |
| 2014 | AAAI | Monte Carlo Filtering Using Kernel Embedding of Distributions. | Motonobu Kanagawa, Yu Nishiyama, Arthur Gretton, Kenji Fukumizu |
| 2014 | AISTATS | Recovering Distributions from Gaussian RKHS Embeddings. | Motonobu Kanagawa, Kenji Fukumizu |
| 2014 | ICML | Kernel Mean Estimation and Stein Effect. | Krikamol Muandet, Kenji Fukumizu, Bharath K. Sriperumbudur, Arthur Gretton, Bernhard Schlkopf |
| 2013 | EMNLP | Centering Similarity Measures to Reduce Hubs. | Ikumi Suzuki, Kazuo Hara, Masashi Shimbo, Marco Saerens, Kenji Fukumizu |
| 2013 | ICMLA | Higher-Order Regularized Kernel CCA. | Md. Ashad Alam, Kenji Fukumizu |
| 2012 | ICML | Hypothesis testing using pairwise distances and associated kernels. | Dino Sejdinovic, Arthur Gretton, Bharath K. Sriperumbudur, Kenji Fukumizu |
| 2012 | UAI | Hilbert Space Embeddings of POMDPs. | Yu Nishiyama, Abdeslam Boularias, Arthur Gretton, Kenji Fukumizu |
| 2010 | ISIT | Non-parametric estimation of integral probability metrics. | Bharath K. Sriperumbudur, Kenji Fukumizu, Arthur Gretton, Bernhard Schlkopf, Gert R. G. Lanckriet |
| 2009 | ICML | Hilbert space embeddings of conditional distributions with applications to dynamical systems. | Le Song, Jonathan Huang, Alexander J. Smola, Kenji Fukumizu |
| 2008 | COLT | Injective Hilbert Space Embeddings of Probability Measures. | Bharath K. Sriperumbudur, Arthur Gretton, Kenji Fukumizu, Gert R. G. Lanckriet, Bernhard Schlkopf |
| 2007 | CIBCB | Active Learning for Network Estimation. | Shotaro Akaho, Kenji Fukumizu |
| 2007 | ICML | A kernel-based causal learning algorithm. | Xiaohai Sun, Dominik Janzing, Bernhard Schlkopf, Kenji Fukumizu |
| 2004 | IJCNN | Over-fitting behavior of Gaussian unit under Gaussian noise. | Katsuyuko Hagiwara, Kenji Fukumizu |
| 2000 | PRICAI | An Efficient Learning Algorithm Using Naturla Gradient and Second Order Information of Error Surface. | Hyeyoung Park, Kenji Fukumizu, Shun-ichi Amari, Yillbyung Lee |
| 1999 | ALT | Generalization Error of Limear Neural Networks in Unidentifiable Cases. | Kenji Fukumizu |
| 1998 | ICONIP | Effect of Batch Learning in Multilayer Neural Networks. | Kenji Fukumizu |