Kenji Kawaguchi

Kenji Kawaguchi

Harvard University

H-index: 29

North America-United States

About Kenji Kawaguchi

Kenji Kawaguchi, With an exceptional h-index of 29 and a recent h-index of 29 (since 2020), a distinguished researcher at Harvard University, specializes in the field of Deep learning theory, Machine learning theory.

His recent articles reflect a diverse array of research interests and contributions to the field:

Can AI Be as Creative as Humans?

Geometric deep learning framework for de novo genome assembly

Towards Robust Out-of-Distribution Generalization Bounds via Sharpness

Scalable and Effective Implicit Graph Neural Networks on Large Graphs

Towards 3D Molecule-Text Interpretation in Language Models

Simple Hierarchical Planning with Diffusion

Self-Supervised Dataset Distillation for Transfer Learning

Towards Continual Learning Desiderata via HSIC-Bottleneck Orthogonalization and Equiangular Embedding

Kenji Kawaguchi Information

University

Position

___

Citations(all)

5491

Citations(since 2020)

4982

Cited By

1763

hIndex(all)

29

hIndex(since 2020)

29

i10Index(all)

50

i10Index(since 2020)

46

Email

University Profile Page

Google Scholar

Kenji Kawaguchi Skills & Research Interests

Deep learning theory

Machine learning theory

Top articles of Kenji Kawaguchi

Can AI Be as Creative as Humans?

arXiv preprint arXiv:2401.01623

2024/1/3

Geometric deep learning framework for de novo genome assembly

bioRxiv

2024

Towards Robust Out-of-Distribution Generalization Bounds via Sharpness

arXiv preprint arXiv:2403.06392

2024/3/11

Scalable and Effective Implicit Graph Neural Networks on Large Graphs

2023/10/13

Towards 3D Molecule-Text Interpretation in Language Models

arXiv preprint arXiv:2401.13923

2024/1/25

Simple Hierarchical Planning with Diffusion

International Conference on Learning Representations 2024 (ICLR'24)

2024/1/5

Self-Supervised Dataset Distillation for Transfer Learning

2023/10/13

Towards Continual Learning Desiderata via HSIC-Bottleneck Orthogonalization and Equiangular Embedding

arXiv preprint arXiv:2401.09067

2024/1/17

Hutchinson Trace Estimation for High-Dimensional and High-Order Physics-Informed Neural Networks

Computer Methods in Applied Mechanics and Engineering

2024/1/17

Kenji Kawaguchi
Kenji Kawaguchi

H-Index: 16

Unsupervised Concept Discovery Mitigates Spurious Correlations

arXiv preprint arXiv:2402.13368

2024/2/20

Score-Based Physics-Informed Neural Networks for High-Dimensional Fokker-Planck Equations

arXiv preprint arXiv:2402.07465

2024/1/16

Zhongqiang Zhang
Zhongqiang Zhang

H-Index: 15

Kenji Kawaguchi
Kenji Kawaguchi

H-Index: 16

The Surprising Effectiveness of Skip-Tuning in Diffusion Sampling

arXiv preprint arXiv:2402.15170

2024/2/23

AdaMergeX: Cross-Lingual Transfer with Large Language Models via Adaptive Adapter Merging

arXiv preprint arXiv:2402.18913

2024/1/3

Yiran Zhao
Yiran Zhao

H-Index: 3

Kenji Kawaguchi
Kenji Kawaguchi

H-Index: 16

How do Large Language Models Handle Multilingualism?

arXiv preprint arXiv:2402.18815

2024/1/3

Yiran Zhao
Yiran Zhao

H-Index: 3

Kenji Kawaguchi
Kenji Kawaguchi

H-Index: 16

Accelerating Greedy Coordinate Gradient via Probe Sampling

arXiv preprint arXiv:2403.01251

2024/3/2

Tensor neural networks for high-dimensional Fokker-Planck equations

arXiv preprint arXiv:2404.05615

2024/4/8

Kenji Kawaguchi
Kenji Kawaguchi

H-Index: 16

Zhongqiang Zhang
Zhongqiang Zhang

H-Index: 15

Enhancing Semantic Fidelity in Text-to-Image Synthesis: Attention Regulation in Diffusion Models

arXiv preprint arXiv:2403.06381

2024/1/3

Yang Zhang
Yang Zhang

H-Index: 3

Kenji Kawaguchi
Kenji Kawaguchi

H-Index: 16

Referee Can Play: An Alternative Approach to Conditional Generation via Model Inversion

arXiv preprint arXiv:2402.16305

2024/1/3

Wenjia Wang
Wenjia Wang

H-Index: 4

Kenji Kawaguchi
Kenji Kawaguchi

H-Index: 16

Yuan Yao
Yuan Yao

H-Index: 9

A Dual-Perspective Approach to Evaluating Feature Attribution Methods

arXiv preprint arXiv:2308.08949

2023/8/17

IF2Net: Innately Forgetting-Free Networks for Continual Learning

arXiv preprint arXiv:2306.10480

2023/6/18

See List of Professors in Kenji Kawaguchi University(Harvard University)

Co-Authors

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