Kenji Kawaguchi

251 papers A* 66A 4B 1Journal 165Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DeRaDiff: Denoising Time Realignment of Diffusion Models. CoRR Ratnavibusena Don Shahain Manujith, Yang Zhang, Teoh Tze Tzun, Kenji Kawaguchi
2026	J	`jnl`	Gradually Compacting Large Language Models for Reasoning Like a Boiling Frog. CoRR Yiran Zhao, Shengyang Zhou, Zijian Wu, Tongyan Hu, Yuhui Xu, Rengan Dou, Kenji Kawaguchi, Shafiq Joty, Junnan Li, Michael Qizhe Shieh
2026	J	`jnl`	In-Context Reinforcement Learning for Tool Use in Large Language Models. CoRR Yaoqi Ye, Yiran Zhao, Keyu Duan, Zeyu Zheng, Kenji Kawaguchi, Cihang Xie, Michael Qizhe Shieh
2026	J	`jnl`	PMNO: A novel physics guided multi-step neural operator predictor for partial differential equations. Neural Networks Jin Song, Kenji Kawaguchi, Zhenya Yan
2026	J	`jnl`	State-space models are accurate and efficient neural operators for dynamical systems. Neural Networks Zheyuan Hu, Nazanin Ahmadi Daryakenari, Qianli Shen, Kenji Kawaguchi, George Em Karniadakis
2026	J	`jnl`	Strategy Executability in Mathematical Reasoning: Leveraging Human-Model Differences for Effective Guidance. CoRR Weida Liang, Yiyou Sun, Shuyuan Nan, Chuang Li, Dawn Song, Kenji Kawaguchi
2025	—	`conf`	AdaMergeX: Cross-Lingual Transfer with Large Language Models via Adaptive Adapter Merging. NAACL (Long Papers) Yiran Zhao, Wenxuan Zhang, Huiming Wang, Kenji Kawaguchi, Lidong Bing
2025	B	`conf`	Aligning Large Language Models with Human Opinions through Persona Selection and Value-Belief-Norm Reasoning. COLING Xuan Long Do, Kenji Kawaguchi, Min-Yen Kan, Nancy F. Chen
2025	J	`jnl`	Any-Order GPT as Masked Diffusion Model: Decoupling Formulation and Architecture. CoRR Shuchen Xue, Tianyu Xie, Tianyang Hu, Zijin Feng, Jiacheng Sun, Kenji Kawaguchi, Zhenguo Li, Zhi-Ming Ma
2025	—	`conf`	Beyond In-Context Learning: Aligning Long-form Generation of Large Language Models via Task-Inherent Attribute Guidelines. ACL (Findings) Do Xuan Long, Duong Ngoc Yen, Do Xuan Trong, Anh Tuan Luu, Kenji Kawaguchi, Shafiq Joty, Min-Yen Kan, Nancy F. Chen
2025	J	`jnl`	Beyond In-Context Learning: Aligning Long-form Generation of Large Language Models via Task-Inherent Attribute Guidelines. CoRR Do Xuan Long, Duong Ngoc Yen, Do Xuan Trong, Luu Anh Tuan, Kenji Kawaguchi, Shafiq Joty, Min-Yen Kan, Nancy F. Chen
2025	J	`jnl`	Bias-Variance Trade-Off in Physics-Informed Neural Networks with Randomized Smoothing for High-Dimensional PDEs. SIAM J. Sci. Comput. Zheyuan Hu, Zhouhao Yang, Yezhen Wang, George E. Karniadakis, Kenji Kawaguchi
2025	J	`jnl`	DeepOMamba: State-space model for spatio-temporal PDE neural operator learning. J. Comput. Phys. Zheyuan Hu, Qianying Cao, Kenji Kawaguchi, George Em Karniadakis
2025	J	`jnl`	Fostering Video Reasoning via Next-Event Prediction. CoRR Haonan Wang, Hongfu Liu, Xiangyan Liu, Chao Du, Kenji Kawaguchi, Ye Wang, Tianyu Pang
2025	J	`jnl`	From Harm to Help: Turning Reasoning In-Context Demos into Assets for Reasoning LMs. CoRR Haonan Wang, Weida Liang, Zihang Fu, Nie Zheng, Yifan Zhang, Yao Tong, Tongyao Zhu, Hao Jiang, Chuang Li, Jiaying Wu, Kenji Kawaguchi
2025	—	`conf`	Getting More Juice Out of Your Data: Hard Pair Refinement Enhances Visual-Language Models Without Extra Data. NAACL (Long Papers) Haonan Wang, Minbin Huang, Runhui Huang, Lanqing Hong, Hang Xu, Tianyang Hu, Xiaodan Liang, Zhenguo Li, Hong Cheng, Kenji Kawaguchi
2025	J	`jnl`	GuardReasoner: Towards Reasoning-based LLM Safeguards. CoRR Yue Liu, Hongcheng Gao, Shengfang Zhai, Jun Xia, Tianyi Wu, Zhiwei Xue, Yulin Chen, Kenji Kawaguchi, Jiaheng Zhang, Bryan Hooi
2025	J	`jnl`	HSG-12M: A Large-Scale Spatial Multigraph Dataset. CoRR Xianquan Yan, Hakan Akgün, Kenji Kawaguchi, N. Duane Loh, Ching Hua Lee
2025	—	`conf`	LLMs Are Biased Towards Output Formats! Systematically Evaluating and Mitigating Output Format Bias of LLMs. NAACL (Long Papers) Do Xuan Long, Ngoc-Hai Nguyen, Tiviatis Sim, Hieu Dao, Shafiq Joty, Kenji Kawaguchi, Nancy F. Chen, Min-Yen Kan
2025	A*	`conf`	Learning Diverse Attacks on Large Language Models for Robust Red-Teaming and Safety Tuning. ICLR Seanie Lee, Minsu Kim, Lynn Cherif, David Dobre, Juho Lee, Sung Ju Hwang, Kenji Kawaguchi, Gauthier Gidel, Yoshua Bengio, Nikolay Malkin, Moksh Jain
2025	J	`jnl`	LoReUn: Data Itself Implicitly Provides Cues to Improve Machine Unlearning. CoRR Xiang Li, Qianli Shen, Haonan Wang, Kenji Kawaguchi
2025	J	`jnl`	Memory-Efficient LLM Training by Various-Grained Low-Rank Projection of Gradients. CoRR Yezhen Wang, Zhouhao Yang, Brian K. Chen, Fanyi Pu, Bo Li, Tianyu Gao, Kenji Kawaguchi
2025	A*	`conf`	Minimalist Concept Erasure in Generative Models. ICML Yang Zhang, Er Jin, Yanfei Dong, Yixuan Wu, Philip Torr, Ashkan Khakzar, Johannes Stegmaier, Kenji Kawaguchi
2025	J	`jnl`	Minimalist Concept Erasure in Generative Models. CoRR Yang Zhang, Er Jin, Yanfei Dong, Yixuan Wu, Philip Torr, Ashkan Khakzar, Johannes Stegmaier, Kenji Kawaguchi
2025	A*	`conf`	NExT-Mol: 3D Diffusion Meets 1D Language Modeling for 3D Molecule Generation. ICLR Zhiyuan Liu, Yanchen Luo, Han Huang, Enzhi Zhang, Sihang Li, Junfeng Fang, Yaorui Shi, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua
2025	J	`jnl`	NExT-Mol: 3D Diffusion Meets 1D Language Modeling for 3D Molecule Generation. CoRR Zhiyuan Liu, Yanchen Luo, Han Huang, Enzhi Zhang, Sihang Li, Junfeng Fang, Yaorui Shi, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua
2025	J	`jnl`	PMNO: A novel physics guided multi-step neural operator predictor for partial differential equations. CoRR Jin Song, Kenji Kawaguchi, Zhenya Yan
2025	J	`jnl`	Prefix-Tuning+: Modernizing Prefix-Tuning by Decoupling the Prefix from Attention. CoRR Haonan Wang, Brian K. Chen, Siquan Li, Xinhe Liang, Hwee Kuan Lee, Kenji Kawaguchi, Tianyang Hu
2025	J	`jnl`	PromptArmor: Simple yet Effective Prompt Injection Defenses. CoRR Tianneng Shi, Kaijie Zhu, Zhun Wang, Yuqi Jia, Will Cai, Weida Liang, Haonan Wang, Hend Alzahrani, Joshua Lu, Kenji Kawaguchi, Basel Alomair, Xuandong Zhao, William Yang Wang, Neil Gong, Wenbo Guo, Dawn Song
2025	—	`conf`	Pruning General Large Language Models into Customized Expert Models. ACL (Findings) Yiran Zhao, Guizhen Chen, Kenji Kawaguchi, Lidong Bing, Wenxuan Zhang
2025	J	`jnl`	Pruning General Large Language Models into Customized Expert Models. CoRR Yirao Zhao, Guizhen Chen, Kenji Kawaguchi, Lidong Bing, Wenxuan Zhang
2025	J	`jnl`	Rewards Are Enough for Fast Photo-Realistic Text-to-image Generation. CoRR Yihong Luo, Tianyang Hu, Weijian Luo, Kenji Kawaguchi, Jing Tang
2025	J	`jnl`	Score-Based Physics-Informed Neural Networks for High-Dimensional Fokker-Planck Equations. SIAM J. Sci. Comput. Zheyuan Hu, Zhongqiang Zhang, George E. Karniadakis, Kenji Kawaguchi
2025	J	`jnl`	SeedPrints: Fingerprints Can Even Tell Which Seed Your Large Language Model Was Trained From. CoRR Yao Tong, Haonan Wang, Siquan Li, Kenji Kawaguchi, Tianyang Hu
2025	A*	`conf`	Single Character Perturbations Break LLM Alignment. AAAI Leon Lin, Hannah Brown, Kenji Kawaguchi, Michael Shieh
2025	J	`jnl`	Tensor neural networks for high-dimensional Fokker-Planck equations. Neural Networks Taorui Wang, Zheyuan Hu, Kenji Kawaguchi, Zhongqiang Zhang, George Em Karniadakis
2025	J	`jnl`	The Emergence of Abstract Thought in Large Language Models Beyond Any Language. CoRR Yuxin Chen, Yiran Zhao, Yang Zhang, An Zhang, Kenji Kawaguchi, Shafiq Joty, Junnan Li, Tat-Seng Chua, Michael Qizhe Shieh, Wenxuan Zhang
2025	J	`jnl`	Think in Parallel, Answer as One: Logit Averaging for Open-Ended Reasoning. CoRR Haonan Wang, Chao Du, Kenji Kawaguchi, Tianyu Pang
2025	J	`jnl`	Towards Unified Latent Space for 3D Molecular Latent Diffusion Modeling. CoRR Yanchen Luo, Zhiyuan Liu, Yi Zhao, Sihang Li, Kenji Kawaguchi, Tat-Seng Chua, Xiang Wang
2025	J	`jnl`	Unconsciously Forget: Mitigating Memorization; Without Knowing What is being Memorized. CoRR Er Jin, Yang Zhang, Yongli Mou, Yanfei Dong, Stefan Decker, Kenji Kawaguchi, Johannes Stegmaier
2025	A*	`conf`	Understanding and Enhancing Safety Mechanisms of LLMs via Safety-Specific Neuron. ICLR Yiran Zhao, Wenxuan Zhang, Yuxi Xie, Anirudh Goyal, Kenji Kawaguchi, Michael Shieh
2025	A*	`conf`	Unnatural Languages Are Not Bugs but Features for LLMs. ICML Keyu Duan, Yiran Zhao, Zhili Feng, Jinjie Ni, Tianyu Pang, Qian Liu, Tianle Cai, Longxu Dou, Kenji Kawaguchi, Anirudh Goyal, J. Zico Kolter, Michael Qizhe Shieh
2025	J	`jnl`	Unnatural Languages Are Not Bugs but Features for LLMs. CoRR Keyu Duan, Yiran Zhao, Zhili Feng, Jinjie Ni, Tianyu Pang, Qian Liu, Tianle Cai, Longxu Dou, Kenji Kawaguchi, Anirudh Goyal, J. Zico Kolter, Michael Qizhe Shieh
2025	—	`conf`	What Makes a Good Natural Language Prompt? ACL (1) Do Xuan Long, Duy Dinh, Ngoc-Hai Nguyen, Kenji Kawaguchi, Nancy F. Chen, Shafiq Joty, Min-Yen Kan
2025	J	`jnl`	What Makes a Good Natural Language Prompt? CoRR Do Xuan Long, Duy Dinh, Ngoc-Hai Nguyen, Kenji Kawaguchi, Nancy F. Chen, Shafiq Joty, Min-Yen Kan
2025	J	`jnl`	When Precision Meets Position: BFloat16 Breaks Down RoPE in Long-Context Training. Trans. Mach. Learn. Res. Haonan Wang, Qian Liu, Chao Du, Tongyao Zhu, Cunxiao Du, Kenji Kawaguchi, Tianyu Pang
2025	J	`jnl`	Who's important? - SUnSET: Synergistic Understanding of Stakeholder, Events and Time for Timeline Generation. CoRR Tiviatis Sim, Kaiwen Yang, Shen Xin, Kenji Kawaguchi
2024	J	`jnl`	A Dual-Perspective Approach to Evaluating Feature Attribution Methods. Trans. Mach. Learn. Res. Yawei Li, Yang Zhang, Kenji Kawaguchi, Ashkan Khakzar, Bernd Bischl, Mina Rezaei
2024	A*	`conf`	Accelerating Greedy Coordinate Gradient and General Prompt Optimization via Probe Sampling. NeurIPS Yiran Zhao, Wenyue Zheng, Tianle Cai, Do Xuan Long, Kenji Kawaguchi, Anirudh Goyal, Michael Qizhe Shieh
2024	J	`jnl`	Accelerating Greedy Coordinate Gradient via Probe Sampling. CoRR Yiran Zhao, Wenyue Zheng, Tianle Cai, Xuan Long Do, Kenji Kawaguchi, Anirudh Goyal, Michael Shieh
2024	J	`jnl`	AdaMergeX: Cross-Lingual Transfer with Large Language Models via Adaptive Adapter Merging. CoRR Yiran Zhao, Wenxuan Zhang, Huiming Wang, Kenji Kawaguchi, Lidong Bing
2024	J	`jnl`	Can AI Be as Creative as Humans? CoRR Haonan Wang, James Zou, Michael Mozer, Anirudh Goyal, Alex Lamb, Linjun Zhang, Weijie J. Su, Zhun Deng, Michael Qizhe Xie, Hannah Brown, Kenji Kawaguchi
2024	A*	`conf`	Deep Regression Representation Learning with Topology. ICML Shihao Zhang, Kenji Kawaguchi, Angela Yao
2024	J	`jnl`	Deep Regression Representation Learning with Topology. CoRR Shihao Zhang, Kenji Kawaguchi, Angela Yao
2024	A*	`conf`	Drug Discovery with Dynamic Goal-aware Fragments. ICML Seul Lee, Seanie Lee, Kenji Kawaguchi, Sung Ju Hwang
2024	J	`jnl`	Effortless Efficiency: Low-Cost Pruning of Diffusion Models. CoRR Yang Zhang, Er Jin, Yanfei Dong, Ashkan Khakzar, Philip Torr, Johannes Stegmaier, Kenji Kawaguchi
2024	—	`conf`	Enhancing Semantic Fidelity in Text-to-Image Synthesis: Attention Regulation in Diffusion Models. ECCV (86) Yang Zhang, Teoh Tze Tzun, Lim Wei Hern, Kenji Kawaguchi
2024	J	`jnl`	Enhancing Semantic Fidelity in Text-to-Image Synthesis: Attention Regulation in Diffusion Models. CoRR Yang Zhang, Teoh Tze Tzun, Lim Wei Hern, Tiviatis Sim, Kenji Kawaguchi
2024	A*	`conf`	Exact Conversion of In-Context Learning to Model Weights in Linearized-Attention Transformers. ICML Brian K. Chen, Tianyang Hu, Hui Jin, Hwee Kuan Lee, Kenji Kawaguchi
2024	J	`jnl`	Exact Conversion of In-Context Learning to Model Weights in Linearized-Attention Transformers. CoRR Brian K. Chen, Tianyang Hu, Hui Jin, Hwee Kuan Lee, Kenji Kawaguchi
2024	J	`jnl`	FinerCut: Finer-grained Interpretable Layer Pruning for Large Language Models. CoRR Yang Zhang, Yawei Li, Xinpeng Wang, Qianli Shen, Barbara Plank, Bernd Bischl, Mina Rezaei, Kenji Kawaguchi
2024	J	`jnl`	Functional Risk Minimization. CoRR Ferran Alet, Clement Gehring, Tomás Lozano-Pérez, Kenji Kawaguchi, Joshua B. Tenenbaum, Leslie Pack Kaelbling
2024	A*	`conf`	How do Large Language Models Handle Multilingualism? NeurIPS Yiran Zhao, Wenxuan Zhang, Guizhen Chen, Kenji Kawaguchi, Lidong Bing
2024	J	`jnl`	How do Large Language Models Handle Multilingualism? CoRR Yiran Zhao, Wenxuan Zhang, Guizhen Chen, Kenji Kawaguchi, Lidong Bing
2024	J	`jnl`	Investigating Layer Importance in Large Language Models. CoRR Yang Zhang, Yanfei Dong, Kenji Kawaguchi
2024	J	`jnl`	LLMs Are Biased Towards Output Formats! Systematically Evaluating and Mitigating Output Format Bias of LLMs. CoRR Xuan Long Do, Ngoc-Hai Nguyen, Tiviatis Sim, Hieu Dao, Shafiq Joty, Kenji Kawaguchi, Nancy F. Chen, Min-Yen Kan
2024	J	`jnl`	Learning diverse attacks on large language models for robust red-teaming and safety tuning. CoRR Seanie Lee, Minsu Kim, Lynn Cherif, David Dobre, Juho Lee, Sung Ju Hwang, Kenji Kawaguchi, Gauthier Gidel, Yoshua Bengio, Nikolay Malkin, Moksh Jain
2024	A*	`conf`	Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization. NeurIPS Qianli Shen, Yezhen Wang, Zhouhao Yang, Xiang Li, Haonan Wang, Yang Zhang, Jonathan Scarlett, Zhanxing Zhu, Kenji Kawaguchi
2024	J	`jnl`	Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization. CoRR Qianli Shen, Yezhen Wang, Zhouhao Yang, Xiang Li, Haonan Wang, Yang Zhang, Jonathan Scarlett, Zhanxing Zhu, Kenji Kawaguchi
2024	J	`jnl`	Monte Carlo Tree Search Boosts Reasoning via Iterative Preference Learning. CoRR Yuxi Xie, Anirudh Goyal, Wenyue Zheng, Min-Yen Kan, Timothy P. Lillicrap, Kenji Kawaguchi, Michael Shieh
2024	A*	`conf`	Multi-expert Prompting Improves Reliability, Safety and Usefulness of Large Language Models. EMNLP Do Xuan Long, Duong Ngoc Yen, Anh Tuan Luu, Kenji Kawaguchi, Min-Yen Kan, Nancy F. Chen
2024	J	`jnl`	Multi-expert Prompting Improves Reliability, Safety, and Usefulness of Large Language Models. CoRR Do Xuan Long, Duong Ngoc Yen, Anh Tuan Luu, Kenji Kawaguchi, Min-Yen Kan, Nancy F. Chen
2024	J	`jnl`	Multi-view class incremental learning. Inf. Fusion Depeng Li, Tianqi Wang, Junwei Chen, Kenji Kawaguchi, Cheng Lian, Zhigang Zeng
2024	A*	`conf`	PlanDQ: Hierarchical Plan Orchestration via D-Conductor and Q-Performer. ICML Chang Chen, Junyeob Baek, Fei Deng, Kenji Kawaguchi, Caglar Gulcehre, Sungjin Ahn
2024	J	`jnl`	PlanDQ: Hierarchical Plan Orchestration via D-Conductor and Q-Performer. CoRR Chang Chen, Junyeob Baek, Fei Deng, Kenji Kawaguchi, Caglar Gulcehre, Sungjin Ahn
2024	—	`conf`	Prompt Optimization via Adversarial In-Context Learning. ACL (1) Do Xuan Long, Yiran Zhao, Hannah Brown, Yuxi Xie, James Xu Zhao, Nancy F. Chen, Kenji Kawaguchi, Michael Shieh, Junxian He
2024	—	`conf`	ProtT3: Protein-to-Text Generation for Text-based Protein Understanding. ACL (1) Zhiyuan Liu, An Zhang, Hao Fei, Enzhi Zhang, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua
2024	J	`jnl`	ProtT3: Protein-to-Text Generation for Text-based Protein Understanding. CoRR Zhiyuan Liu, An Zhang, Hao Fei, Enzhi Zhang, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua
2024	—	`conf`	ReactXT: Understanding Molecular "Reaction-ship" via Reaction-Contextualized Molecule-Text Pretraining. ACL (Findings) Zhiyuan Liu, Yaorui Shi, An Zhang, Sihang Li, Enzhi Zhang, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua
2024	J	`jnl`	ReactXT: Understanding Molecular "Reaction-ship" via Reaction-Contextualized Molecule-Text Pretraining. CoRR Zhiyuan Liu, Yaorui Shi, An Zhang, Sihang Li, Enzhi Zhang, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua
2024	A*	`conf`	Reasoning Robustness of LLMs to Adversarial Typographical Errors. EMNLP Esther Gan, Yiran Zhao, Liying Cheng, Yancan Mao, Anirudh Goyal, Kenji Kawaguchi, Min-Yen Kan, Michael Shieh
2024	J	`jnl`	Reasoning Robustness of LLMs to Adversarial Typographical Errors. CoRR Esther Gan, Yiran Zhao, Liying Cheng, Yancan Mao, Anirudh Goyal, Kenji Kawaguchi, Min-Yen Kan, Michael Shieh
2024	A*	`conf`	Referee Can Play: An Alternative Approach to Conditional Generation via Model Inversion. ICML Xuantong Liu, Tianyang Hu, Wenjia Wang, Kenji Kawaguchi, Yuan Yao
2024	J	`jnl`	Referee Can Play: An Alternative Approach to Conditional Generation via Model Inversion. CoRR Xuantong Liu, Tianyang Hu, Wenjia Wang, Kenji Kawaguchi, Yuan Yao
2024	A*	`conf`	Scalable and Effective Implicit Graph Neural Networks on Large Graphs. ICLR Juncheng Liu, Bryan Hooi, Kenji Kawaguchi, Yiwei Wang, Chaosheng Dong, Xiaokui Xiao
2024	J	`jnl`	Score-Based Physics-Informed Neural Networks for High-Dimensional Fokker-Planck Equations. CoRR Zheyuan Hu, Zhongqiang Zhang, George Em Karniadakis, Kenji Kawaguchi
2024	J	`jnl`	Score-fPINN: Fractional Score-Based Physics-Informed Neural Networks for High-Dimensional Fokker-Planck-Levy Equations. CoRR Zheyuan Hu, Zhongqiang Zhang, George Em Karniadakis, Kenji Kawaguchi
2024	J	`jnl`	Self-Evaluation as a Defense Against Adversarial Attacks on LLMs. CoRR Hannah Brown, Leon Lin, Kenji Kawaguchi, Michael Shieh
2024	A*	`conf`	Self-Supervised Dataset Distillation for Transfer Learning. ICLR Dong Bok Lee, Seanie Lee, Joonho Ko, Kenji Kawaguchi, Juho Lee, Sung Ju Hwang
2024	A*	`conf`	Simple Hierarchical Planning with Diffusion. ICLR Chang Chen, Fei Deng, Kenji Kawaguchi, Caglar Gulcehre, Sungjin Ahn
2024	J	`jnl`	Simple Hierarchical Planning with Diffusion. CoRR Chang Chen, Fei Deng, Kenji Kawaguchi, Caglar Gulcehre, Sungjin Ahn
2024	J	`jnl`	Single Character Perturbations Break LLM Alignment. CoRR Leon Lin, Hannah Brown, Kenji Kawaguchi, Michael Shieh
2024	J	`jnl`	State-space models are accurate and efficient neural operators for dynamical systems. CoRR Zheyuan Hu, Nazanin Ahmadi Daryakenari, Qianli Shen, Kenji Kawaguchi, George Em Karniadakis
2024	A*	`conf`	Stochastic Taylor Derivative Estimator: Efficient amortization for arbitrary differential operators. NeurIPS Zekun Shi, Zheyuan Hu, Min Lin, Kenji Kawaguchi
2024	J	`jnl`	Stochastic Taylor Derivative Estimator: Efficient amortization for arbitrary differential operators. CoRR Zekun Shi, Zheyuan Hu, Min Lin, Kenji Kawaguchi
2024	J	`jnl`	Tackling the Curse of Dimensionality in Fractional and Tempered Fractional PDEs with Physics-Informed Neural Networks. CoRR Zheyuan Hu, Kenji Kawaguchi, Zhongqiang Zhang, George Em Karniadakis
2024	J	`jnl`	Tackling the curse of dimensionality with physics-informed neural networks. Neural Networks Zheyuan Hu, Khemraj Shukla, George Em Karniadakis, Kenji Kawaguchi
2024	J	`jnl`	Tensor neural networks for high-dimensional Fokker-Planck equations. CoRR Taorui Wang, Zheyuan Hu, Kenji Kawaguchi, Zhongqiang Zhang, George Em Karniadakis
2024	J	`jnl`	The Stronger the Diffusion Model, the Easier the Backdoor: Data Poisoning to Induce Copyright Breaches Without Adjusting Finetuning Pipeline. CoRR Haonan Wang, Qianli Shen, Yao Tong, Yang Zhang, Kenji Kawaguchi
2024	A*	`conf`	The Stronger the Diffusion Model, the Easier the Backdoor: Data Poisoning to Induce Copyright BreachesWithout Adjusting Finetuning Pipeline. ICML Haonan Wang, Qianli Shen, Yao Tong, Yang Zhang, Kenji Kawaguchi
2024	A*	`conf`	The Surprising Effectiveness of Skip-Tuning in Diffusion Sampling. ICML Jiajun Ma, Shuchen Xue, Tianyang Hu, Wenjia Wang, Zhaoqiang Liu, Zhenguo Li, Zhi-Ming Ma, Kenji Kawaguchi
2024	J	`jnl`	The Surprising Effectiveness of Skip-Tuning in Diffusion Sampling. CoRR Jiajun Ma, Shuchen Xue, Tianyang Hu, Wenjia Wang, Zhaoqiang Liu, Zhenguo Li, Zhi-Ming Ma, Kenji Kawaguchi
2024	A*	`conf`	Towards 3D Molecule-Text Interpretation in Language Models. ICLR Sihang Li, Zhiyuan Liu, Yanchen Luo, Xiang Wang, Xiangnan He, Kenji Kawaguchi, Tat-Seng Chua, Qi Tian
2024	J	`jnl`	Towards 3D Molecule-Text Interpretation in Language Models. CoRR Sihang Li, Zhiyuan Liu, Yanchen Luo, Xiang Wang, Xiangnan He, Kenji Kawaguchi, Tat-Seng Chua, Qi Tian
2024	A*	`conf`	Towards Continual Learning Desiderata via HSIC-Bottleneck Orthogonalization and Equiangular Embedding. AAAI Depeng Li, Tianqi Wang, Junwei Chen, Qining Ren, Kenji Kawaguchi, Zhigang Zeng
2024	J	`jnl`	Towards Continual Learning Desiderata via HSIC-Bottleneck Orthogonalization and Equiangular Embedding. CoRR Depeng Li, Tianqi Wang, Junwei Chen, Qining Ren, Kenji Kawaguchi, Zhigang Zeng
2024	A*	`conf`	Towards Robust Out-of-Distribution Generalization Bounds via Sharpness. ICLR Yingtian Zou, Kenji Kawaguchi, Yingnan Liu, Jiashuo Liu, Mong-Li Lee, Wynne Hsu
2024	J	`jnl`	Towards Robust Out-of-Distribution Generalization Bounds via Sharpness. CoRR Yingtian Zou, Kenji Kawaguchi, Yingnan Liu, Jiashuo Liu, Mong-Li Lee, Wynne Hsu
2024	A*	`conf`	Unsupervised Concept Discovery Mitigates Spurious Correlations. ICML Md Rifat Arefin, Yan Zhang, Aristide Baratin, Francesco Locatello, Irina Rish, Dianbo Liu, Kenji Kawaguchi
2024	J	`jnl`	Unsupervised Concept Discovery Mitigates Spurious Correlations. CoRR Md Rifat Arefin, Yan Zhang, Aristide Baratin, Francesco Locatello, Irina Rish, Dianbo Liu, Kenji Kawaguchi
2024	A*	`conf`	VA3: Virtually Assured Amplification Attack on Probabilistic Copyright Protection for Text-to-Image Generative Models. CVPR Xiang Li, Qianli Shen, Kenji Kawaguchi
2024	J	`jnl`	When Precision Meets Position: BFloat16 Breaks Down RoPE in Long-Context Training. CoRR Haonan Wang, Qian Liu, Chao Du, Tongyao Zhu, Cunxiao Du, Kenji Kawaguchi, Tianyu Pang
2023	J	`jnl`	A Dual-Perspective Approach to Evaluating Feature Attribution Methods. CoRR Yawei Li, Yang Zhang, Kenji Kawaguchi, Ashkan Khakzar, Bernd Bischl, Mina Rezaei
2023	A*	`conf`	Adaptive Discrete Communication Bottlenecks with Dynamic Vector Quantization for Heterogeneous Representational Coarseness. AAAI Dianbo Liu, Alex Lamb, Xu Ji, Pascal Tikeng Notsawo Jr., Michael Mozer, Yoshua Bengio, Kenji Kawaguchi
2023	A*	`conf`	An Information Theory Perspective on Variance-Invariance-Covariance Regularization. NeurIPS Ravid Shwartz-Ziv, Randall Balestriero, Kenji Kawaguchi, Tim G. J. Rudner, Yann LeCun
2023	J	`jnl`	An Information-Theoretic Perspective on Variance-Invariance-Covariance Regularization. CoRR Ravid Shwartz-Ziv, Randall Balestriero, Kenji Kawaguchi, Tim G. J. Rudner, Yann LeCun
2023	J	`jnl`	AttributionLab: Faithfulness of Feature Attribution Under Controllable Environments. CoRR Yang Zhang, Yawei Li, Hannah Brown, Mina Rezaei, Bernd Bischl, Philip H. S. Torr, Ashkan Khakzar, Kenji Kawaguchi
2023	J	`jnl`	Augmented Physics-Informed Neural Networks (APINNs): A gating network-based soft domain decomposition methodology. Eng. Appl. Artif. Intell. Zheyuan Hu, Ameya D. Jagtap, George Em Karniadakis, Kenji Kawaguchi
2023	—	`conf`	Automatic Model Selection with Large Language Models for Reasoning. EMNLP (Findings) James Xu Zhao, Yuxi Xie, Kenji Kawaguchi, Junxian He, Michael Qizhe Xie
2023	J	`jnl`	Automatic Model Selection with Large Language Models for Reasoning. CoRR Xu Zhao, Yuxi Xie, Kenji Kawaguchi, Junxian He, Qizhe Xie
2023	A*	`conf`	Auxiliary Learning as an Asymmetric Bargaining Game. ICML Aviv Shamsian, Aviv Navon, Neta Glazer, Kenji Kawaguchi, Gal Chechik, Ethan Fetaya
2023	J	`jnl`	Auxiliary Learning as an Asymmetric Bargaining Game. CoRR Aviv Shamsian, Aviv Navon, Neta Glazer, Kenji Kawaguchi, Gal Chechik, Ethan Fetaya
2023	J	`jnl`	Bias-Variance Trade-off in Physics-Informed Neural Networks with Randomized Smoothing for High-Dimensional PDEs. CoRR Zheyuan Hu, Zhouhao Yang, Yezhen Wang, George Em Karniadakis, Kenji Kawaguchi
2023	J	`jnl`	ChOiRe: Characterizing and Predicting Human Opinions with Chain of Opinion Reasoning. CoRR Xuan Long Do, Kenji Kawaguchi, Min-Yen Kan, Nancy F. Chen
2023	J	`jnl`	Combined scaling for zero-shot transfer learning. Neurocomputing 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
2023	A*	`conf`	D4FT: A Deep Learning Approach to Kohn-Sham Density Functional Theory. ICLR Tianbo Li, Min Lin, Zheyuan Hu, Kunhao Zheng, Giovanni Vignale, Kenji Kawaguchi, A. H. Castro Neto, Kostya S. Novoselov, Shuicheng Yan
2023	J	`jnl`	D4FT: A Deep Learning Approach to Kohn-Sham Density Functional Theory. CoRR Tianbo Li, Min Lin, Zheyuan Hu, Kunhao Zheng, Giovanni Vignale, Kenji Kawaguchi, A. H. Castro Neto, Kostya S. Novoselov, Shuicheng Yan
2023	J	`jnl`	Decomposition Enhances Reasoning via Self-Evaluation Guided Decoding. CoRR Yuxi Xie, Kenji Kawaguchi, Yiran Zhao, Xu Zhao, Min-Yen Kan, Junxian He, Qizhe Xie
2023	A*	`conf`	Discrete Key-Value Bottleneck. ICML Frederik Träuble, Anirudh Goyal, Nasim Rahaman, Michael Curtis Mozer, Kenji Kawaguchi, Yoshua Bengio, Bernhard Schölkopf
2023	J	`jnl`	Fast Diffusion Model. CoRR Zike Wu, Pan Zhou, Kenji Kawaguchi, Hanwang Zhang
2023	A*	`conf`	GFlowOut: Dropout with Generative Flow Networks. ICML 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
2023	A*	`conf`	How Does Information Bottleneck Help Deep Learning? ICML Kenji Kawaguchi, Zhun Deng, Xu Ji, Jiaoyang Huang
2023	J	`jnl`	How Does Information Bottleneck Help Deep Learning? CoRR Kenji Kawaguchi, Zhun Deng, Xu Ji, Jiaoyang Huang
2023	J	`jnl`	Hutchinson Trace Estimation for High-Dimensional and High-Order Physics-Informed Neural Networks. CoRR Zheyuan Hu, Zekun Shi, George Em Karniadakis, Kenji Kawaguchi
2023	J	`jnl`	IF2Net: Innately Forgetting-Free Networks for Continual Learning. CoRR Depeng Li, Tianqi Wang, BingRong Xu, Kenji Kawaguchi, Zhigang Zeng, Ponnuthurai Nagaratnam Suganthan
2023	J	`jnl`	Investigating Copyright Issues of Diffusion Models under Practical Scenarios. CoRR Yang Zhang, Teoh Tze Tzun, Lim Wei Hern, Haonan Wang, Kenji Kawaguchi
2023	A*	`conf`	Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive Tasks. NeurIPS Minki Kang, Seanie Lee, Jinheon Baek, Kenji Kawaguchi, Sung Ju Hwang
2023	J	`jnl`	Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive Tasks. CoRR Minki Kang, Seanie Lee, Jinheon Baek, Kenji Kawaguchi, Sung Ju Hwang
2023	J	`jnl`	Last-Layer Fairness Fine-tuning is Simple and Effective for Neural Networks. CoRR Yuzhen Mao, Zhun Deng, Huaxiu Yao, Ting Ye, Kenji Kawaguchi, James Zou
2023	J	`jnl`	Learning Unorthogonalized Matrices for Rotation Estimation. CoRR Kerui Gu, Zhihao Li, Shiyong Liu, Jianzhuang Liu, Songcen Xu, Youliang Yan, Michael Bi Mi, Kenji Kawaguchi, Angela Yao
2023	A	`conf`	MixupE: Understanding and improving Mixup from directional derivative perspective. UAI Yingtian Zou, Vikas Verma, Sarthak Mittal, Wai Hoh Tang, Hieu Pham, Juho Kannala, Yoshua Bengio, Arno Solin, Kenji Kawaguchi
2023	A*	`conf`	MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adapter. EMNLP Zhiyuan Liu, Sihang Li, Yanchen Luo, Hao Fei, Yixin Cao, Kenji Kawaguchi, Xiang Wang, Tat-Seng Chua
2023	J	`jnl`	MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adapter. CoRR Zhiyuan Liu, Sihang Li, Yanchen Luo, Hao Fei, Yixin Cao, Kenji Kawaguchi, Xiang Wang, Tat-Seng Chua
2023	J	`jnl`	Multi-View Class Incremental Learning. CoRR Depeng Li, Tianqi Wang, Junwei Chen, Kenji Kawaguchi, Cheng Lian, Zhigang Zeng
2023	A*	`conf`	PICProp: Physics-Informed Confidence Propagation for Uncertainty Quantification. NeurIPS Qianli Shen, Wai Hoh Tang, Zhun Deng, Apostolos F. Psaros, Kenji Kawaguchi
2023	J	`jnl`	PICProp: Physics-Informed Confidence Propagation for Uncertainty Quantification. CoRR Qianli Shen, Wai Hoh Tang, Zhun Deng, Apostolos F. Psaros, Kenji Kawaguchi
2023	J	`jnl`	Probabilistic Copyright Protection Can Fail for Text-to-Image Generative Models. CoRR Xiang Li, Qianli Shen, Kenji Kawaguchi
2023	J	`jnl`	Prompt Optimization via Adversarial In-Context Learning. CoRR Xuan Long Do, Yiran Zhao, Hannah Brown, Yuxi Xie, James Xu Zhao, Nancy F. Chen, Kenji Kawaguchi, Michael Qizhe Xie, Junxian He
2023	A*	`conf`	Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules. NeurIPS Zhiyuan Liu, Yaorui Shi, An Zhang, Enzhi Zhang, Kenji Kawaguchi, Xiang Wang, Tat-Seng Chua
2023	J	`jnl`	Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules. CoRR Zhiyuan Liu, Yaorui Shi, An Zhang, Enzhi Zhang, Kenji Kawaguchi, Xiang Wang, Tat-Seng Chua
2023	A*	`conf`	Scalable Set Encoding with Universal Mini-Batch Consistency and Unbiased Full Set Gradient Approximation. ICML Jeffrey Willette, Seanie Lee, Bruno Andreis, Kenji Kawaguchi, Juho Lee, Sung Ju Hwang
2023	A*	`conf`	Self-Distillation for Further Pre-training of Transformers. ICLR Seanie Lee, Minki Kang, Juho Lee, Sung Ju Hwang, Kenji Kawaguchi
2023	A*	`conf`	Self-Evaluation Guided Beam Search for Reasoning. NeurIPS Yuxi Xie, Kenji Kawaguchi, Yiran Zhao, James Xu Zhao, Min-Yen Kan, Junxian He, Michael Qizhe Xie
2023	J	`jnl`	Self-Supervised Dataset Distillation for Transfer Learning. CoRR Dong Bok Lee, Seanie Lee, Joonho Ko, Kenji Kawaguchi, Juho Lee, Sung Ju Hwang
2023	A*	`conf`	Self-Supervised Set Representation Learning for Unsupervised Meta-Learning. ICLR Dong Bok Lee, Seanie Lee, Kenji Kawaguchi, Yunji Kim, Jihwan Bang, Jung-Woo Ha, Sung Ju Hwang
2023	A*	`conf`	Simplicial Embeddings in Self-Supervised Learning and Downstream Classification. ICLR Samuel Lavoie, Christos Tsirigotis, Max Schwarzer, Ankit Vani, Michael Noukhovitch, Kenji Kawaguchi, Aaron C. Courville
2023	J	`jnl`	Single-Pass Contrastive Learning Can Work for Both Homophilic and Heterophilic Graph. Trans. Mach. Learn. Res. Haonan Wang, Jieyu Zhang, Qi Zhu, Wei Huang, Kenji Kawaguchi, Xiaokui Xiao
2023	A*	`conf`	Sketch-Based Anomaly Detection in Streaming Graphs. KDD Siddharth Bhatia, Mohit Wadhwa, Kenji Kawaguchi, Neil Shah, Philip S. Yu, Bryan Hooi
2023	J	`jnl`	Tackling the Curse of Dimensionality with Physics-Informed Neural Networks. CoRR Zheyuan Hu, Khemraj Shukla, George Em Karniadakis, Kenji Kawaguchi
2023	A	`conf`	Understanding and Improving Neural Active Learning on Heteroskedastic Distributions. ECAI Savya Khosla, Chew Kin Whye, Jordan T. Ash, Cyril Zhang, Kenji Kawaguchi, Alex Lamb
2022	J	`jnl`	Adaptive Discrete Communication Bottlenecks with Dynamic Vector Quantization. CoRR Dianbo Liu, Alex Lamb, Xu Ji, Pascal Notsawo, Michael Mozer, Yoshua Bengio, Kenji Kawaguchi
2022	J	`jnl`	Augmented Physics-Informed Neural Networks (APINNs): A gating network-based soft domain decomposition methodology. CoRR Zheyuan Hu, Ameya D. Jagtap, George Em Karniadakis, Kenji Kawaguchi
2022	J	`jnl`	Deep Kronecker neural networks: A general framework for neural networks with adaptive activation functions. Neurocomputing Ameya D. Jagtap, Yeonjong Shin, Kenji Kawaguchi, George Em Karniadakis
2022	A*	`conf`	Discrete Compositional Representations as an Abstraction for Goal Conditioned Reinforcement Learning. NeurIPS Riashat Islam, Hongyu Zang, Anirudh Goyal, Alex Lamb, Kenji Kawaguchi, Xin Li, Romain Laroche, Yoshua Bengio, Remi Tachet des Combes
2022	J	`jnl`	Discrete Factorial Representations as an Abstraction for Goal Conditioned Reinforcement Learning. CoRR Riashat Islam, Hongyu Zang, Anirudh Goyal, Alex Lamb, Kenji Kawaguchi, Xin Li, Romain Laroche, Yoshua Bengio, Remi Tachet des Combes
2022	J	`jnl`	Discrete Key-Value Bottleneck. CoRR Frederik Träuble, Anirudh Goyal, Nasim Rahaman, Michael Mozer, Kenji Kawaguchi, Yoshua Bengio, Bernhard Schölkopf
2022	J	`jnl`	EIGNN: Efficient Infinite-Depth Graph Neural Networks. CoRR Juncheng Liu, Kenji Kawaguchi, Bryan Hooi, Yiwei Wang, Xiaokui Xiao
2022	J	`jnl`	ExpertNet: A Symbiosis of Classification and Clustering. CoRR Shivin Srivastava, Kenji Kawaguchi, Vaibhav Rajan
2022	J	`jnl`	GFlowOut: Dropout with Generative Flow Networks. CoRR 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
2022	J	`jnl`	Interpolated Adversarial Training: Achieving robust neural networks without sacrificing too much accuracy. Neural Networks Alex Lamb, Vikas Verma, Kenji Kawaguchi, Alexander Matyasko, Savya Khosla, Juho Kannala, Yoshua Bengio
2022	J	`jnl`	Interpolation consistency training for semi-supervised learning. Neural Networks Vikas Verma, Kenji Kawaguchi, Alex Lamb, Juho Kannala, Arno Solin, Yoshua Bengio, David Lopez-Paz
2022	A*	`conf`	MGNNI: Multiscale Graph Neural Networks with Implicit Layers. NeurIPS Juncheng Liu, Bryan Hooi, Kenji Kawaguchi, Xiaokui Xiao
2022	J	`jnl`	MGNNI: Multiscale Graph Neural Networks with Implicit Layers. CoRR Juncheng Liu, Bryan Hooi, Kenji Kawaguchi, Xiaokui Xiao
2022	A*	`conf`	MemStream: Memory-Based Streaming Anomaly Detection. WWW Siddharth Bhatia, Arjit Jain, Shivin Srivastava, Kenji Kawaguchi, Bryan Hooi
2022	J	`jnl`	Meta-learning PINN loss functions. J. Comput. Phys. Apostolos F. Psaros, Kenji Kawaguchi, George Em Karniadakis
2022	J	`jnl`	MixupE: Understanding and Improving Mixup from Directional Derivative Perspective. CoRR Vikas Verma, Sarthak Mittal, Wai Hoh Tang, Hieu Pham, Juho Kannala, Yoshua Bengio, Arno Solin, Kenji Kawaguchi
2022	A*	`conf`	Multi-Task Learning as a Bargaining Game. ICML Aviv Navon, Aviv Shamsian, Idan Achituve, Haggai Maron, Kenji Kawaguchi, Gal Chechik, Ethan Fetaya
2022	J	`jnl`	Multi-Task Learning as a Bargaining Game. CoRR Aviv Navon, Aviv Shamsian, Idan Achituve, Haggai Maron, Kenji Kawaguchi, Gal Chechik, Ethan Fetaya
2022	J	`jnl`	Neural Active Learning on Heteroskedastic Distributions. CoRR Savya Khosla, Chew Kin Whye, Jordan T. Ash, Cyril Zhang, Kenji Kawaguchi, Alex Lamb
2022	A*	`conf`	Robustness Implies Generalization via Data-Dependent Generalization Bounds. ICML Kenji Kawaguchi, Zhun Deng, Kyle Luh, Jiaoyang Huang
2022	J	`jnl`	Robustness Implies Generalization via Data-Dependent Generalization Bounds. CoRR Kenji Kawaguchi, Zhun Deng, Kyle Luh, Jiaoyang Huang
2022	J	`jnl`	Self-Distillation for Further Pre-training of Transformers. CoRR Seanie Lee, Minki Kang, Juho Lee, Sung Ju Hwang, Kenji Kawaguchi
2022	A*	`conf`	Set-based Meta-Interpolation for Few-Task Meta-Learning. NeurIPS Seanie Lee, Bruno Andreis, Kenji Kawaguchi, Juho Lee, Sung Ju Hwang
2022	J	`jnl`	Set-based Meta-Interpolation for Few-Task Meta-Learning. CoRR Seanie Lee, Andreis Bruno, Kenji Kawaguchi, Juho Lee, Sung Ju Hwang
2022	J	`jnl`	Simplicial Embeddings in Self-Supervised Learning and Downstream Classification. CoRR Samuel Lavoie, Christos Tsirigotis, Max Schwarzer, Kenji Kawaguchi, Ankit Vani, Aaron C. Courville
2022	J	`jnl`	Training Free Graph Neural Networks for Graph Matching. CoRR Zhiyuan Liu, Yixin Cao, Fuli Feng, Xiang Wang, Xindi Shang, Jie Tang, Kenji Kawaguchi, Tat-Seng Chua
2022	J	`jnl`	Understanding Dynamics of Nonlinear Representation Learning and Its Application. Neural Comput. Kenji Kawaguchi, Linjun Zhang, Zhun Deng
2022	J	`jnl`	When Do Extended Physics-Informed Neural Networks (XPINNs) Improve Generalization? SIAM J. Sci. Comput. Zheyuan Hu, Ameya D. Jagtap, George Em Karniadakis, Kenji Kawaguchi
2022	A*	`conf`	When and How Mixup Improves Calibration. ICML Linjun Zhang, Zhun Deng, Kenji Kawaguchi, James Zou
2021	A*	`conf`	A Recipe for Global Convergence Guarantee in Deep Neural Networks. AAAI Kenji Kawaguchi, Qingyun Sun
2021	J	`jnl`	A Recipe for Global Convergence Guarantee in Deep Neural Networks. CoRR Kenji Kawaguchi, Qingyun Sun
2021	A*	`conf`	Adversarial Training Helps Transfer Learning via Better Representations. NeurIPS Zhun Deng, Linjun Zhang, Kailas Vodrahalli, Kenji Kawaguchi, James Y. Zou
2021	J	`jnl`	Adversarial Training Helps Transfer Learning via Better Representations. CoRR Zhun Deng, Linjun Zhang, Kailas Vodrahalli, Kenji Kawaguchi, James Zou
2021	J	`jnl`	CAC: A Clustering Based Framework for Classification. CoRR Shivin Srivastava, Siddharth Bhatia, Lingxiao Huang, Lim Jun Heng, Kenji Kawaguchi, Vaibhav Rajan
2021	J	`jnl`	Deep Kronecker neural networks: A general framework for neural networks with adaptive activation functions. CoRR Ameya D. Jagtap, Yeonjong Shin, Kenji Kawaguchi, George Em Karniadakis
2021	A*	`conf`	Discrete-Valued Neural Communication. NeurIPS Dianbo Liu, Alex Lamb, Kenji Kawaguchi, Anirudh Goyal, Chen Sun, Michael C. Mozer, Yoshua Bengio
2021	J	`jnl`	Discrete-Valued Neural Communication. CoRR Dianbo Liu, Alex Lamb, Kenji Kawaguchi, Anirudh Goyal, Chen Sun, Michael Curtis Mozer, Yoshua Bengio
2021	A*	`conf`	EIGNN: Efficient Infinite-Depth Graph Neural Networks. NeurIPS Juncheng Liu, Kenji Kawaguchi, Bryan Hooi, Yiwei Wang, Xiaokui Xiao
2021	A*	`conf`	GraphMix: Improved Training of GNNs for Semi-Supervised Learning. AAAI Vikas Verma, Meng Qu, Kenji Kawaguchi, Alex Lamb, Yoshua Bengio, Juho Kannala, Jian Tang
2021	A*	`conf`	How Does Mixup Help With Robustness and Generalization? ICLR Linjun Zhang, Zhun Deng, Kenji Kawaguchi, Amirata Ghorbani, James Zou
2021	—	`conf`	How Shrinking Gradient Noise Helps the Performance of Neural Networks. IEEE BigData Zhun Deng, Jiaoyang Huang, Kenji Kawaguchi
2021	J	`jnl`	MemStream: Memory-Based Anomaly Detection in Multi-Aspect Streams with Concept Drift. CoRR Siddharth Bhatia, Arjit Jain, Shivin Srivastava, Kenji Kawaguchi, Bryan Hooi
2021	J	`jnl`	Meta-learning PINN loss functions. CoRR Apostolos F. Psaros, Kenji Kawaguchi, George Em Karniadakis
2021	J	`jnl`	Noether Networks: Meta-Learning Useful Conserved Quantities. CoRR Ferran Alet, Dylan Doblar, Allan Zhou, Joshua B. Tenenbaum, Kenji Kawaguchi, Chelsea Finn
2021	A*	`conf`	Noether Networks: meta-learning useful conserved quantities. NeurIPS Ferran Alet, Dylan Doblar, Allan Zhou, Josh Tenenbaum, Kenji Kawaguchi, Chelsea Finn
2021	A*	`conf`	On the Theory of Implicit Deep Learning: Global Convergence with Implicit Layers. ICLR Kenji Kawaguchi
2021	J	`jnl`	On the Theory of Implicit Deep Learning: Global Convergence with Implicit Layers. CoRR Kenji Kawaguchi
2021	A*	`conf`	Optimization of Graph Neural Networks: Implicit Acceleration by Skip Connections and More Depth. ICML Keyulu Xu, Mozhi Zhang, Stefanie Jegelka, Kenji Kawaguchi
2021	J	`jnl`	Optimization of Graph Neural Networks: Implicit Acceleration by Skip Connections and More Depth. CoRR Keyulu Xu, Mozhi Zhang, Stefanie Jegelka, Kenji Kawaguchi
2021	A*	`conf`	Tailoring: encoding inductive biases by optimizing unsupervised objectives at prediction time. NeurIPS Ferran Alet, Maria Bauzá, Kenji Kawaguchi, Nurullah Giray Kuru, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2021	A*	`conf`	Towards Domain-Agnostic Contrastive Learning. ICML Vikas Verma, Thang Luong, Kenji Kawaguchi, Hieu Pham, Quoc V. Le
2021	J	`jnl`	Understanding Dynamics of Nonlinear Representation Learning and Its Application. CoRR Kenji Kawaguchi, Linjun Zhang, Zhun Deng
2021	A*	`conf`	Understanding End-to-End Model-Based Reinforcement Learning Methods as Implicit Parameterization. NeurIPS Clement Gehring, Kenji Kawaguchi, Jiaoyang Huang, Leslie Pack Kaelbling
2021	J	`jnl`	When Do Extended Physics-Informed Neural Networks (XPINNs) Improve Generalization? CoRR Zheyuan Hu, Ameya D. Jagtap, George Em Karniadakis, Kenji Kawaguchi
2021	J	`jnl`	When and How Mixup Improves Calibration. CoRR Linjun Zhang, Zhun Deng, Kenji Kawaguchi, James Zou
2020	J	`jnl`	Adaptive activation functions accelerate convergence in deep and physics-informed neural networks. J. Comput. Phys. Ameya D. Jagtap, Kenji Kawaguchi, George Em Karniadakis
2020	A	`conf`	Elimination of All Bad Local Minima in Deep Learning. AISTATS Kenji Kawaguchi, Leslie Pack Kaelbling
2020	J	`jnl`	How Does Mixup Help With Robustness and Generalization? CoRR Linjun Zhang, Zhun Deng, Kenji Kawaguchi, Amirata Ghorbani, James Y. Zou
2020	A	`conf`	Ordered SGD: A New Stochastic Optimization Framework for Empirical Risk Minimization. AISTATS Kenji Kawaguchi, Haihao Lu
2020	J	`jnl`	Tailoring: encoding inductive biases by optimizing unsupervised objectives at prediction time. CoRR Ferran Alet, Kenji Kawaguchi, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2020	J	`jnl`	Towards Domain-Agnostic Contrastive Learning. CoRR Vikas Verma, Minh-Thang Luong, Kenji Kawaguchi, Hieu Pham, Quoc V. Le
2019	J	`jnl`	A Stochastic First-Order Method for Ordered Empirical Risk Minimization. CoRR Kenji Kawaguchi, Haihao Lu
2019	J	`jnl`	Depth with nonlinearity creates no bad local minima in ResNets. Neural Networks Kenji Kawaguchi, Yoshua Bengio
2019	J	`jnl`	Effect of Depth and Width on Local Minima in Deep Learning. Neural Comput. Kenji Kawaguchi, Jiaoyang Huang, Leslie Pack Kaelbling
2019	J	`jnl`	Eliminating all bad Local Minima from Loss Landscapes without even adding an Extra Unit. CoRR Jascha Sohl-Dickstein, Kenji Kawaguchi
2019	J	`jnl`	Elimination of All Bad Local Minima in Deep Learning. CoRR Kenji Kawaguchi, Leslie Pack Kaelbling
2019	J	`jnl`	Every Local Minimum Value Is the Global Minimum Value of Induced Model in Nonconvex Machine Learning. Neural Comput. Kenji Kawaguchi, Jiaoyang Huang, Leslie Pack Kaelbling
2019	J	`jnl`	Every Local Minimum is a Global Minimum of an Induced Model. CoRR Kenji Kawaguchi, Leslie Pack Kaelbling
2019	—	`conf`	Gradient Descent Finds Global Minima for Generalizable Deep Neural Networks of Practical Sizes. Allerton Kenji Kawaguchi, Jiaoyang Huang
2019	J	`jnl`	Gradient Descent Finds Global Minima for Generalizable Deep Neural Networks of Practical Sizes. CoRR Kenji Kawaguchi, Jiaoyang Huang
2019	J	`jnl`	Locally adaptive activation functions with slope recovery term for deep and physics-informed neural networks. CoRR Ameya D. Jagtap, Kenji Kawaguchi, George E. Karniadakis
2018	A*	`conf`	Deep Semi-Random Features for Nonlinear Function Approximation. AAAI Kenji Kawaguchi, Bo Xie, Le Song
2018	J	`jnl`	Depth with Nonlinearity Creates No Bad Local Minima in ResNets. CoRR Kenji Kawaguchi, Yoshua Bengio
2018	J	`jnl`	Effect of Depth and Width on Local Minima in Deep Learning. CoRR Kenji Kawaguchi, Jiaoyang Huang, Leslie Pack Kaelbling
2018	J	`jnl`	Generalization in Machine Learning via Analytical Learning Theory. CoRR Kenji Kawaguchi, Yoshua Bengio
2018	J	`jnl`	Theory of Deep Learning III: explaining the non-overfitting puzzle. CoRR Tomaso A. Poggio, Kenji Kawaguchi, Qianli Liao, Brando Miranda, Lorenzo Rosasco, Xavier Boix, Jack Hidary, Hrushikesh N. Mhaskar
2017	J	`jnl`	Deep Semi-Random Features for Nonlinear Function Approximation. CoRR Kenji Kawaguchi, Bo Xie, Le Song
2017	J	`jnl`	Depth Creates No Bad Local Minima. CoRR Haihao Lu, Kenji Kawaguchi
2017	J	`jnl`	Generalization in Deep Learning. CoRR Kenji Kawaguchi, Leslie Pack Kaelbling, Yoshua Bengio
2016	J	`jnl`	Bayesian Optimization with Exponential Convergence. CoRR Kenji Kawaguchi, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2016	A*	`conf`	Bounded Optimal Exploration in MDP. AAAI Kenji Kawaguchi
2016	J	`jnl`	Bounded Optimal Exploration in MDP. CoRR Kenji Kawaguchi
2016	—	`conf`	Deep Learning without Poor Local Minima. NIPS Kenji Kawaguchi
2016	J	`jnl`	Deep Learning without Poor Local Minima. CoRR Kenji Kawaguchi
2016	J	`jnl`	Global Continuous Optimization with Error Bound and Fast Convergence. CoRR Kenji Kawaguchi, Yu Maruyama, Xiaoyu Zheng
2016	J	`jnl`	Global Continuous Optimization with Error Bound and Fast Convergence. J. Artif. Intell. Res. Kenji Kawaguchi, Yu Maruyama, Xiaoyu Zheng
2016	J	`jnl`	Streaming Normalization: Towards Simpler and More Biologically-plausible Normalizations for Online and Recurrent Learning. CoRR Qianli Liao, Kenji Kawaguchi, Tomaso A. Poggio
2015	J	`jnl`	Application of Bayesian nonparametric models to the uncertainty and sensitivity analysis of source term in a BWR severe accident. Reliab. Eng. Syst. Saf. Xiaoyu Zheng, Hiroto Itoh, Kenji Kawaguchi, Hitoshi Tamaki, Yu Maruyama
2015	—	`conf`	Bayesian Optimization with Exponential Convergence. NIPS Kenji Kawaguchi, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2013	J	`jnl`	A Greedy Approximation of Bayesian Reinforcement Learning with Probably Optimistic Transition Model CoRR Kenji Kawaguchi, Mauricio Araya-López
2013	A*	`conf`	Prior-Free Exploration Bonus for and beyond Near Bayes-Optimal Behavior. IJCAI Kenji Kawaguchi, Hiroshi Sato