Kenji Kawaguchi

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 174

Top Venues

Publications

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. ICLR (2024)
Xuantong Liu, Tianyang Hu, Wenjia Wang, Kenji Kawaguchi, Yuan Yao
Referee Can Play: An Alternative Approach to Conditional Generation via Model Inversion. CoRR (2024)
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)
Zheyuan Hu, Khemraj Shukla, George Em Karniadakis, Kenji Kawaguchi
Tackling the curse of dimensionality with physics-informed neural networks. Neural Networks 176 (2024)
Zheyuan Hu, Kenji Kawaguchi, Zhongqiang Zhang, George Em Karniadakis
Tackling the Curse of Dimensionality in Fractional and Tempered Fractional PDEs with Physics-Informed Neural Networks. CoRR (2024)
Yingtian Zou, Kenji Kawaguchi, Yingnan Liu, Jiashuo Liu, Mong-Li Lee, Wynne Hsu
Towards Robust Out-of-Distribution Generalization Bounds via Sharpness. ICLR (2024)
Yiran Zhao, Wenyue Zheng, Tianle Cai, Xuan Long Do, Kenji Kawaguchi, Anirudh Goyal, Michael Shieh
Accelerating Greedy Coordinate Gradient via Probe Sampling. CoRR (2024)
Shihao Zhang, Kenji Kawaguchi, Angela Yao
Deep Regression Representation Learning with Topology. CoRR (2024)
Chang Chen, Junyeob Baek, Fei Deng, Kenji Kawaguchi, Caglar Gulcehre, Sungjin Ahn
PlanDQ: Hierarchical Plan Orchestration via D-Conductor and Q-Performer. 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)
Yuxi Xie, Anirudh Goyal, Wenyue Zheng, Min-Yen Kan, Timothy P. Lillicrap, Kenji Kawaguchi, Michael Shieh
Monte Carlo Tree Search Boosts Reasoning via Iterative Preference Learning. CoRR (2024)
Zheyuan Hu, Zhongqiang Zhang, George Em Karniadakis, Kenji Kawaguchi
Score-fPINN: Fractional Score-Based Physics-Informed Neural Networks for High-Dimensional Fokker-Planck-Levy Equations. CoRR (2024)
Yiran Zhao, Wenxuan Zhang, Huiming Wang, Kenji Kawaguchi, Lidong Bing
AdaMergeX: Cross-Lingual Transfer with Large Language Models via Adaptive Adapter Merging. CoRR (2024)
Dong Bok Lee, Seanie Lee, Joonho Ko, Kenji Kawaguchi, Juho Lee, Sung Ju Hwang
Self-Supervised Dataset Distillation for Transfer Learning. ICLR (2024)
Zhiyuan Liu, An Zhang, Hao Fei, Enzhi Zhang, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua
ProtT3: Protein-to-Text Generation for Text-based Protein Understanding. CoRR (2024)
Yang Zhang, Teoh Tze Tzun, Lim Wei Hern, Tiviatis Sim, Kenji Kawaguchi
Enhancing Semantic Fidelity in Text-to-Image Synthesis: Attention Regulation in Diffusion Models. CoRR (2024)
Seanie Lee, Minsu Kim, Lynn Cherif, David Dobre, Juho Lee, Sung Ju Hwang, Kenji Kawaguchi, Gauthier Gidel, Yoshua Bengio, Nikolay Malkin, Moksh Jain
Learning diverse attacks on large language models for robust red-teaming and safety tuning. CoRR (2024)
Depeng Li, Tianqi Wang, Junwei Chen, Kenji Kawaguchi, Cheng Lian, Zhigang Zeng
Multi-view class incremental learning. Inf. Fusion 102 (2024)
Jiajun Ma, Shuchen Xue, Tianyang Hu, Wenjia Wang, Zhaoqiang Liu, Zhenguo Li, Zhi-Ming Ma, Kenji Kawaguchi
The Surprising Effectiveness of Skip-Tuning in Diffusion Sampling. CoRR (2024)
Zhiyuan Liu, An Zhang, Hao Fei, Enzhi Zhang, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua
ProtT3: Protein-to-Text Generation for Text-based Protein Understanding. ACL (1) (2024)
Zheyuan Hu, Zhongqiang Zhang, George Em Karniadakis, Kenji Kawaguchi
Score-Based Physics-Informed Neural Networks for High-Dimensional Fokker-Planck Equations. CoRR (2024)
Md Rifat Arefin, Yan Zhang, Aristide Baratin, Francesco Locatello, Irina Rish, Dianbo Liu, Kenji Kawaguchi
Unsupervised Concept Discovery Mitigates Spurious Correlations. 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)
Brian K. Chen, Tianyang Hu, Hui Jin, Hwee Kuan Lee, Kenji Kawaguchi
Exact Conversion of In-Context Learning to Model Weights in Linearized-Attention Transformers. CoRR (2024)
Taorui Wang, Zheyuan Hu, Kenji Kawaguchi, Zhongqiang Zhang, George Em Karniadakis
Tensor neural networks for high-dimensional Fokker-Planck equations. CoRR (2024)
Do Long, Yiran Zhao, Hannah Brown, Yuxi Xie, James Xu Zhao, Nancy F. Chen, Kenji Kawaguchi, Michael Shieh, Junxian He
Prompt Optimization via Adversarial In-Context Learning. ACL (1) (2024)
Chang Chen, Fei Deng, Kenji Kawaguchi, Çaglar Gülçehre, Sungjin Ahn
Simple Hierarchical Planning with Diffusion. CoRR (2024)
Yingtian Zou, Kenji Kawaguchi, Yingnan Liu, Jiashuo Liu, Mong-Li Lee, Wynne Hsu
Towards Robust Out-of-Distribution Generalization Bounds via Sharpness. CoRR (2024)
Leon Lin, Hannah Brown, Kenji Kawaguchi, Michael Shieh
Single Character Perturbations Break LLM Alignment. CoRR (2024)
Chang Chen, Fei Deng, Kenji Kawaguchi, Caglar Gulcehre, Sungjin Ahn
Simple Hierarchical Planning with Diffusion. ICLR (2024)
Zhiyuan Liu, Yaorui Shi, An Zhang, Sihang Li, Enzhi Zhang, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua
ReactXT: Understanding Molecular "Reaction-ship" via Reaction-Contextualized Molecule-Text Pretraining. CoRR (2024)
Yiran Zhao, Wenxuan Zhang, Guizhen Chen, Kenji Kawaguchi, Lidong Bing
How do Large Language Models Handle Multilingualism? CoRR (2024)
Qianli Shen, Yezhen Wang, Zhouhao Yang, Xiang Li, Haonan Wang, Yang Zhang, Jonathan Scarlett, Zhanxing Zhu, Kenji Kawaguchi
Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization. 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)
Juncheng Liu, Bryan Hooi, Kenji Kawaguchi, Yiwei Wang, Chaosheng Dong, Xiaokui Xiao
Scalable and Effective Implicit Graph Neural Networks on Large Graphs. ICLR (2024)
Yang Zhang, Yawei Li, Xinpeng Wang, Qianli Shen, Barbara Plank, Bernd Bischl, Mina Rezaei, Kenji Kawaguchi
FinerCut: Finer-grained Interpretable Layer Pruning for Large Language Models. CoRR (2024)
Hannah Brown, Leon Lin, Kenji Kawaguchi, Michael Shieh
Self-Evaluation as a Defense Against Adversarial Attacks on LLMs. CoRR (2024)
Zhiyuan Liu, Yaorui Shi, An Zhang, Sihang Li, Enzhi Zhang, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua
ReactXT: Understanding Molecular "Reaction-ship" via Reaction-Contextualized Molecule-Text Pretraining. ACL (Findings) (2024)
Depeng Li, Tianqi Wang, Junwei Chen, Qining Ren, Kenji Kawaguchi, Zhigang Zeng
Towards Continual Learning Desiderata via HSIC-Bottleneck Orthogonalization and Equiangular Embedding. AAAI (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)
Zheyuan Hu, Ameya D. Jagtap, George Em Karniadakis, Kenji Kawaguchi
Augmented Physics-Informed Neural Networks (APINNs): A gating network-based soft domain decomposition methodology. Eng. Appl. Artif. Intell. 126 (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)
Haonan Wang, Jieyu Zhang, Qi Zhu, Wei Huang, Kenji Kawaguchi, Xiaokui Xiao
Single-Pass Contrastive Learning Can Work for Both Homophilic and Heterophilic Graph. Trans. Mach. Learn. Res. 2023 (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.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Kenji Kawaguchi