Kenji Kawaguchi

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 142

Top Venues

Publications

Haonan Wang, James Zou, Michael Mozer, Anirudh Goyal, Alex Lamb, Linjun Zhang, Weijie J. Su, Zhun Deng, Michael Qizhe Xie, Hannah Brown, Kenji Kawaguchi
Can AI Be as Creative as Humans? CoRR (2024)
Sihang Li, Zhiyuan Liu, Yanchen Luo, Xiang Wang, Xiangnan He, Kenji Kawaguchi, Tat-Seng Chua, Qi Tian
Towards 3D Molecule-Text Interpretation in Language Models. CoRR (2024)
Depeng Li, Tianqi Wang, Junwei Chen, Kenji Kawaguchi, Cheng Lian, Zhigang Zeng
Multi-view class incremental learning. Inf. Fusion 102 (2024)
Zheyuan Hu, Zhongqiang Zhang, George Em Karniadakis, Kenji Kawaguchi
Score-Based Physics-Informed Neural Networks for High-Dimensional Fokker-Planck Equations. CoRR (2024)
Depeng Li, Tianqi Wang, Junwei Chen, Qining Ren, Kenji Kawaguchi, Zhigang Zeng
Towards Continual Learning Desiderata via HSIC-Bottleneck Orthogonalization and Equiangular Embedding. CoRR (2024)
Chang Chen, Fei Deng, Kenji Kawaguchi, Çaglar Gülçehre, Sungjin Ahn
Simple Hierarchical Planning with Diffusion. CoRR (2024)
Haonan Wang, Qianli Shen, Yao Tong, Yang Zhang, Kenji Kawaguchi
The Stronger the Diffusion Model, the Easier the Backdoor: Data Poisoning to Induce Copyright Breaches Without Adjusting Finetuning Pipeline. CoRR (2024)
Zhiyuan Liu, Yaorui Shi, An Zhang, Enzhi Zhang, Kenji Kawaguchi, Xiang Wang, Tat-Seng Chua
Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules. CoRR (2023)
Aviv Shamsian, Aviv Navon, Neta Glazer, Kenji Kawaguchi, Gal Chechik, Ethan Fetaya
Auxiliary Learning as an Asymmetric Bargaining Game. CoRR (2023)
Aviv Shamsian, Aviv Navon, Neta Glazer, Kenji Kawaguchi, Gal Chechik, Ethan Fetaya
Auxiliary Learning as an Asymmetric Bargaining Game. ICML (2023)
Ravid Shwartz-Ziv, Randall Balestriero, Kenji Kawaguchi, Tim G. J. Rudner, Yann LeCun
An Information-Theoretic Perspective on Variance-Invariance-Covariance Regularization. CoRR (2023)
Kerui Gu, Zhihao Li, Shiyong Liu, Jianzhuang Liu, Songcen Xu, Youliang Yan, Michael Bi Mi, Kenji Kawaguchi, Angela Yao
Learning Unorthogonalized Matrices for Rotation Estimation. CoRR (2023)
Xiang Li, Qianli Shen, Kenji Kawaguchi
Probabilistic Copyright Protection Can Fail for Text-to-Image Generative Models. CoRR (2023)
Yuzhen Mao, Zhun Deng, Huaxiu Yao, Ting Ye, Kenji Kawaguchi, James Zou
Last-Layer Fairness Fine-tuning is Simple and Effective for Neural Networks. CoRR (2023)
Zhiyuan Liu, Sihang Li, Yanchen Luo, Hao Fei, Yixin Cao, Kenji Kawaguchi, Xiang Wang, Tat-Seng Chua
MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adapter. CoRR (2023)
Siddharth Bhatia, Mohit Wadhwa, Kenji Kawaguchi, Neil Shah, Philip S. Yu, Bryan Hooi
Sketch-Based Anomaly Detection in Streaming Graphs. KDD (2023)
James Zhao, Yuxi Xie, Kenji Kawaguchi, Junxian He, Michael Xie
Automatic Model Selection with Large Language Models for Reasoning. EMNLP (Findings) (2023)
Zhiyuan Liu, Sihang Li, Yanchen Luo, Hao Fei, Yixin Cao, Kenji Kawaguchi, Xiang Wang, Tat-Seng Chua
MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adapter. EMNLP (2023)
Seanie Lee, Minki Kang, Juho Lee, Sung Ju Hwang, Kenji Kawaguchi
Self-Distillation for Further Pre-training of Transformers. ICLR (2023)
Xuan Long Do, Yiran Zhao, Hannah Brown, Yuxi Xie, James Xu Zhao, Nancy F. Chen, Kenji Kawaguchi, Michael Qizhe Xie, Junxian He
Prompt Optimization via Adversarial In-Context Learning. CoRR (2023)
Dianbo Liu, Moksh Jain, Bonaventure F. P. Dossou, Qianli Shen, Salem Lahlou, Anirudh Goyal, Nikolay Malkin, Chris Chinenye Emezue, Dinghuai Zhang, Nadhir Hassen, Xu Ji, Kenji Kawaguchi, Yoshua Bengio
GFlowOut: Dropout with Generative Flow Networks. ICML (2023)
Kenji Kawaguchi, Zhun Deng, Xu Ji, Jiaoyang Huang
How Does Information Bottleneck Help Deep Learning? ICML (2023)
Yawei Li, Yang Zhang, Kenji Kawaguchi, Ashkan Khakzar, Bernd Bischl, Mina Rezaei
A Dual-Perspective Approach to Evaluating Feature Attribution Methods. CoRR (2023)
Xu Zhao, Yuxi Xie, Kenji Kawaguchi, Junxian He, Qizhe Xie
Automatic Model Selection with Large Language Models for Reasoning. CoRR (2023)
Zheyuan Hu, Zhouhao Yang, Yezhen Wang, George Em Karniadakis, Kenji Kawaguchi
Bias-Variance Trade-off in Physics-Informed Neural Networks with Randomized Smoothing for High-Dimensional PDEs. CoRR (2023)
Dong Bok Lee, Seanie Lee, Kenji Kawaguchi, Yunji Kim, Jihwan Bang, Jung-Woo Ha, Sung Ju Hwang
Self-Supervised Set Representation Learning for Unsupervised Meta-Learning. ICLR (2023)
Minki Kang, Seanie Lee, Jinheon Baek, Kenji Kawaguchi, Sung Ju Hwang
Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive Tasks. NeurIPS (2023)
Xuan Long Do, Kenji Kawaguchi, Min-Yen Kan, Nancy F. Chen
ChOiRe: Characterizing and Predicting Human Opinions with Chain of Opinion Reasoning. CoRR (2023)
Minki Kang, Seanie Lee, Jinheon Baek, Kenji Kawaguchi, Sung Ju Hwang
Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive Tasks. CoRR (2023)
Ravid Shwartz-Ziv, Randall Balestriero, Kenji Kawaguchi, Tim G. J. Rudner, Yann LeCun
An Information Theory Perspective on Variance-Invariance-Covariance Regularization. NeurIPS (2023)
Yuxi Xie, Kenji Kawaguchi, Yiran Zhao, James Xu Zhao, Min-Yen Kan, Junxian He, Michael Qizhe Xie
Self-Evaluation Guided Beam Search for Reasoning. NeurIPS (2023)
Kenji Kawaguchi, Zhun Deng, Xu Ji, Jiaoyang Huang
How Does Information Bottleneck Help Deep Learning? CoRR (2023)
Yang Zhang, Teoh Tze Tzun, Lim Wei Hern, Haonan Wang, Kenji Kawaguchi
Investigating Copyright Issues of Diffusion Models under Practical Scenarios. CoRR (2023)
Depeng Li, Tianqi Wang, Junwei Chen, Kenji Kawaguchi, Cheng Lian, Zhigang Zeng
Multi-View Class Incremental Learning. CoRR (2023)
Zheyuan Hu, Khemraj Shukla, George Em Karniadakis, Kenji Kawaguchi
Tackling the Curse of Dimensionality with Physics-Informed Neural Networks. CoRR (2023)
Zike Wu, Pan Zhou, Kenji Kawaguchi, Hanwang Zhang
Fast Diffusion Model. CoRR (2023)
Frederik Träuble, Anirudh Goyal, Nasim Rahaman, Michael Curtis Mozer, Kenji Kawaguchi, Yoshua Bengio, Bernhard Schölkopf
Discrete Key-Value Bottleneck. ICML (2023)
Yang Zhang, Yawei Li, Hannah Brown, Mina Rezaei, Bernd Bischl, Philip Torr, Ashkan Khakzar, Kenji Kawaguchi
AttributionLab: Faithfulness of Feature Attribution Under Controllable Environments. CoRR (2023)
Zheyuan Hu, Zekun Shi, George Em Karniadakis, Kenji Kawaguchi
Hutchinson Trace Estimation for High-Dimensional and High-Order Physics-Informed Neural Networks. CoRR (2023)
Tianbo Li, Min Lin, Zheyuan Hu, Kunhao Zheng, Giovanni Vignale, Kenji Kawaguchi, A. H. Castro Neto, Kostya S. Novoselov, Shuicheng Yan
D4FT: A Deep Learning Approach to Kohn-Sham Density Functional Theory. CoRR (2023)
Samuel Lavoie, Christos Tsirigotis, Max Schwarzer, Ankit Vani, Michael Noukhovitch, Kenji Kawaguchi, Aaron C. Courville
Simplicial Embeddings in Self-Supervised Learning and Downstream Classification. ICLR (2023)
Qianli Shen, Wai Hoh Tang, Zhun Deng, Apostolos F. Psaros, Kenji Kawaguchi
PICProp: Physics-Informed Confidence Propagation for Uncertainty Quantification. CoRR (2023)
Dianbo Liu, Alex Lamb, Xu Ji, Pascal Tikeng Notsawo Jr., Michael Mozer, Yoshua Bengio, Kenji Kawaguchi
Adaptive Discrete Communication Bottlenecks with Dynamic Vector Quantization for Heterogeneous Representational Coarseness. AAAI (2023)
Hieu Pham, Zihang Dai, Golnaz Ghiasi, Kenji Kawaguchi, Hanxiao Liu, Adams Wei Yu, Jiahui Yu, Yi-Ting Chen, Minh-Thang Luong, Yonghui Wu, Mingxing Tan, Quoc V. Le
Combined scaling for zero-shot transfer learning. Neurocomputing 555 (2023)
Yuxi Xie, Kenji Kawaguchi, Yiran Zhao, Xu Zhao, Min-Yen Kan, Junxian He, Qizhe Xie
Decomposition Enhances Reasoning via Self-Evaluation Guided Decoding. CoRR (2023)
Zhiyuan Liu, Yaorui Shi, An Zhang, Enzhi Zhang, Kenji Kawaguchi, Xiang Wang, Tat-Seng Chua
Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules. NeurIPS (2023)
Yingtian Zou, Vikas Verma, Sarthak Mittal, Wai Hoh Tang, Hieu Pham, Juho Kannala, Yoshua Bengio, Arno Solin, Kenji Kawaguchi
MixupE: Understanding and improving Mixup from directional derivative perspective. UAI (2023)
Tianbo Li, Min Lin, Zheyuan Hu, Kunhao Zheng, Giovanni Vignale, Kenji Kawaguchi, A. H. Castro Neto, Kostya S. Novoselov, Shuicheng Yan
D4FT: A Deep Learning Approach to Kohn-Sham Density Functional Theory. ICLR (2023)
Dong Bok Lee, Seanie Lee, Joonho Ko, Kenji Kawaguchi, Juho Lee, Sung Ju Hwang
Self-Supervised Dataset Distillation for Transfer Learning. CoRR (2023)
Qianli Shen, Wai Hoh Tang, Zhun Deng, Apostolos F. Psaros, Kenji Kawaguchi
PICProp: Physics-Informed Confidence Propagation for Uncertainty Quantification. NeurIPS (2023)
Jeffrey Willette, Seanie Lee, Bruno Andreis, Kenji Kawaguchi, Juho Lee, Sung Ju Hwang
Scalable Set Encoding with Universal Mini-Batch Consistency and Unbiased Full Set Gradient Approximation. ICML (2023)
Depeng Li, Tianqi Wang, Bingrong Xu, Kenji Kawaguchi, Zhigang Zeng, Ponnuthurai Nagaratnam Suganthan
IF2Net: Innately Forgetting-Free Networks for Continual Learning. CoRR (2023)
Savya Khosla, Chew Kin Whye, Jordan T. Ash, Cyril Zhang, Kenji Kawaguchi, Alex Lamb
Understanding and Improving Neural Active Learning on Heteroskedastic Distributions. ECAI (2023)
Seanie Lee, Bruno Andreis, Kenji Kawaguchi, Juho Lee, Sung Ju Hwang
Set-based Meta-Interpolation for Few-Task Meta-Learning. NeurIPS (2022)
Vikas Verma, Kenji Kawaguchi, Alex Lamb, Juho Kannala, Arno Solin, Yoshua Bengio, David Lopez-Paz
Interpolation consistency training for semi-supervised learning. Neural Networks 145 (2022)
Zhiyuan Liu, Yixin Cao, Fuli Feng, Xiang Wang, Xindi Shang, Jie Tang, Kenji Kawaguchi, Tat-Seng Chua
Training Free Graph Neural Networks for Graph Matching. CoRR (2022)
Juncheng Liu, Bryan Hooi, Kenji Kawaguchi, Xiaokui Xiao
MGNNI: Multiscale Graph Neural Networks with Implicit Layers. NeurIPS (2022)
Zheyuan Hu, Ameya D. Jagtap, George Em Karniadakis, Kenji Kawaguchi
When Do Extended Physics-Informed Neural Networks (XPINNs) Improve Generalization? SIAM J. Sci. Comput. 44 (5) (2022)
Shivin Srivastava, Kenji Kawaguchi, Vaibhav Rajan
ExpertNet: A Symbiosis of Classification and Clustering. CoRR (2022)
Apostolos F. Psaros, Kenji Kawaguchi, George Em Karniadakis
Meta-learning PINN loss functions. J. Comput. Phys. 458 (2022)
Siddharth Bhatia, Arjit Jain, Shivin Srivastava, Kenji Kawaguchi, Bryan Hooi
MemStream: Memory-Based Streaming Anomaly Detection. WWW (2022)
Seanie Lee, Minki Kang, Juho Lee, Sung Ju Hwang, Kenji Kawaguchi
Self-Distillation for Further Pre-training of Transformers. CoRR (2022)
Aviv Navon, Aviv Shamsian, Idan Achituve, Haggai Maron, Kenji Kawaguchi, Gal Chechik, Ethan Fetaya
Multi-Task Learning as a Bargaining Game. CoRR (2022)
Riashat Islam, Hongyu Zang, Anirudh Goyal, Alex M. Lamb, Kenji Kawaguchi, Xin Li, Romain Laroche, Yoshua Bengio, Remi Tachet des Combes
Discrete Compositional Representations as an Abstraction for Goal Conditioned Reinforcement Learning. NeurIPS (2022)
Linjun Zhang, Zhun Deng, Kenji Kawaguchi, James Zou
When and How Mixup Improves Calibration. ICML (2022)
Vikas Verma, Sarthak Mittal, Wai Hoh Tang, Hieu Pham, Juho Kannala, Yoshua Bengio, Arno Solin, Kenji Kawaguchi
MixupE: Understanding and Improving Mixup from Directional Derivative Perspective. CoRR (2022)
Kenji Kawaguchi, Linjun Zhang, Zhun Deng
Understanding Dynamics of Nonlinear Representation Learning and Its Application. Neural Comput. 34 (4) (2022)
Kenji Kawaguchi, Zhun Deng, Kyle Luh, Jiaoyang Huang
Robustness Implies Generalization via Data-Dependent Generalization Bounds. ICML (2022)
Samuel Lavoie, Christos Tsirigotis, Max Schwarzer, Kenji Kawaguchi, Ankit Vani, Aaron C. Courville
Simplicial Embeddings in Self-Supervised Learning and Downstream Classification. CoRR (2022)
Alex Lamb, Vikas Verma, Kenji Kawaguchi, Alexander Matyasko, Savya Khosla, Juho Kannala, Yoshua Bengio
Interpolated Adversarial Training: Achieving robust neural networks without sacrificing too much accuracy. Neural Networks 154 (2022)
Savya Khosla, Chew Kin Whye, Jordan T. Ash, Cyril Zhang, Kenji Kawaguchi, Alex Lamb
Neural Active Learning on Heteroskedastic Distributions. CoRR (2022)
Juncheng Liu, Bryan Hooi, Kenji Kawaguchi, Xiaokui Xiao
MGNNI: Multiscale Graph Neural Networks with Implicit Layers. CoRR (2022)
Frederik Träuble, Anirudh Goyal, Nasim Rahaman, Michael Mozer, Kenji Kawaguchi, Yoshua Bengio, Bernhard Schölkopf
Discrete Key-Value Bottleneck. CoRR (2022)
Dianbo Liu, Alex Lamb, Xu Ji, Pascal Notsawo, Michael Mozer, Yoshua Bengio, Kenji Kawaguchi
Adaptive Discrete Communication Bottlenecks with Dynamic Vector Quantization. CoRR (2022)
Seanie Lee, Andreis Bruno, Kenji Kawaguchi, Juho Lee, Sung Ju Hwang
Set-based Meta-Interpolation for Few-Task Meta-Learning. CoRR (2022)
Dianbo Liu, Moksh Jain, Bonaventure Dossou, Qianli Shen, Salem Lahlou, Anirudh Goyal, Nikolay Malkin, Chris Emezue, Dinghuai Zhang, Nadhir Hassen, Xu Ji, Kenji Kawaguchi, Yoshua Bengio
GFlowOut: Dropout with Generative Flow Networks. CoRR (2022)
Ameya D. Jagtap, Yeonjong Shin, Kenji Kawaguchi, George Em Karniadakis
Deep Kronecker neural networks: A general framework for neural networks with adaptive activation functions. Neurocomputing 468 (2022)
Aviv Navon, Aviv Shamsian, Idan Achituve, Haggai Maron, Kenji Kawaguchi, Gal Chechik, Ethan Fetaya
Multi-Task Learning as a Bargaining Game. ICML (2022)
Juncheng Liu, Kenji Kawaguchi, Bryan Hooi, Yiwei Wang, Xiaokui Xiao
EIGNN: Efficient Infinite-Depth Graph Neural Networks. CoRR (2022)
Riashat Islam, Hongyu Zang, Anirudh Goyal, Alex Lamb, Kenji Kawaguchi, Xin Li, Romain Laroche, Yoshua Bengio, Remi Tachet des Combes
Discrete Factorial Representations as an Abstraction for Goal Conditioned Reinforcement Learning. CoRR (2022)
Zheyuan Hu, Ameya D. Jagtap, George Em Karniadakis, Kenji Kawaguchi
Augmented Physics-Informed Neural Networks (APINNs): A gating network-based soft domain decomposition methodology. CoRR (2022)
Kenji Kawaguchi, Zhun Deng, Kyle Luh, Jiaoyang Huang
Robustness Implies Generalization via Data-Dependent Generalization Bounds. CoRR (2022)
Linjun Zhang, Zhun Deng, Kenji Kawaguchi, James Zou
When and How Mixup Improves Calibration. CoRR (2021)
Dianbo Liu, Alex Lamb, Kenji Kawaguchi, Anirudh Goyal, Chen Sun, Michael Curtis Mozer, Yoshua Bengio
Discrete-Valued Neural Communication. CoRR (2021)
Zhun Deng, Linjun Zhang, Kailas Vodrahalli, Kenji Kawaguchi, James Zou
Adversarial Training Helps Transfer Learning via Better Representations. CoRR (2021)
Zhun Deng, Linjun Zhang, Kailas Vodrahalli, Kenji Kawaguchi, James Y. Zou
Adversarial Training Helps Transfer Learning via Better Representations. NeurIPS (2021)
Kenji Kawaguchi
On the Theory of Implicit Deep Learning: Global Convergence with Implicit Layers. ICLR (2021)
Keyulu Xu, Mozhi Zhang, Stefanie Jegelka, Kenji Kawaguchi
Optimization of Graph Neural Networks: Implicit Acceleration by Skip Connections and More Depth. CoRR (2021)
Vikas Verma, Thang Luong, Kenji Kawaguchi, Hieu Pham, Quoc V. Le
Towards Domain-Agnostic Contrastive Learning. ICML (2021)
Kenji Kawaguchi, Qingyun Sun
A Recipe for Global Convergence Guarantee in Deep Neural Networks. CoRR (2021)
Vikas Verma, Meng Qu, Kenji Kawaguchi, Alex Lamb, Yoshua Bengio, Juho Kannala, Jian Tang
GraphMix: Improved Training of GNNs for Semi-Supervised Learning. AAAI (2021)
Apostolos F. Psaros, Kenji Kawaguchi, George Em Karniadakis
Meta-learning PINN loss functions. CoRR (2021)
Kenji Kawaguchi, Linjun Zhang, Zhun Deng
Understanding Dynamics of Nonlinear Representation Learning and Its Application. CoRR (2021)
Kenji Kawaguchi, Qingyun Sun
A Recipe for Global Convergence Guarantee in Deep Neural Networks. AAAI (2021)
Ferran Alet, Dylan Doblar, Allan Zhou, Joshua B. Tenenbaum, Kenji Kawaguchi, Chelsea Finn
Noether Networks: Meta-Learning Useful Conserved Quantities. CoRR (2021)
Kenji Kawaguchi
On the Theory of Implicit Deep Learning: Global Convergence with Implicit Layers. CoRR (2021)
Dianbo Liu, Alex Lamb, Kenji Kawaguchi, Anirudh Goyal, Chen Sun, Michael C. Mozer, Yoshua Bengio
Discrete-Valued Neural Communication. NeurIPS (2021)
Shivin Srivastava, Siddharth Bhatia, Lingxiao Huang, Lim Jun Heng, Kenji Kawaguchi, Vaibhav Rajan
CAC: A Clustering Based Framework for Classification. CoRR (2021)
Juncheng Liu, Kenji Kawaguchi, Bryan Hooi, Yiwei Wang, Xiaokui Xiao
EIGNN: Efficient Infinite-Depth Graph Neural Networks. NeurIPS (2021)
Clement Gehring, Kenji Kawaguchi, Jiaoyang Huang, Leslie Pack Kaelbling
Understanding End-to-End Model-Based Reinforcement Learning Methods as Implicit Parameterization. NeurIPS (2021)

Kenji Kawaguchi.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Kenji Kawaguchi