Shinichi Nakajima

1. NoiseGrad: Enhancing Explanations by Introducing Stochasticity to Model Weights
   2021/06/18 by Kirill Bykov, Bykov, Kirill, Anna Karin Hedström +5 · 4 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
2. How Much Can I Trust You? -- Quantifying Uncertainties in Explaining Neural Networks
   2020/06/16 by Kirill Bykov, Marina M. -C. Höhne, Bykov, Kirill +9 · 2 citations
   Computer Science · Mathematics · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #cs.AI #cs.CV #cs.LG #stat.ML
3. Gradients should stay on Path: Better Estimators of the Reverse- and Forward KL Divergence for Normalizing Flows
   2022/07/17 by Lorenz Vaitl, Kim A. Nicoli, Vaitl, Lorenz +5 · 2 citations
   Computer Science · Physics and Astronomy · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks
4. Attentive multilayer fusion for vision transformers
   2026/01/14 by Laure Ciernik, Marco Morik, Lukas Thede +4 · 3 voices · 1 citation
   Computer Science · #cs.CV
5. Path-Gradient Estimators for Continuous Normalizing Flows
   2022/06/17 by Lorenz Vaitl, Kim A. Nicoli, Vaitl, Lorenz +5 · 1 citation
   Computer Science · Engineering · Physics and Astronomy · #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Lattice Boltzmann Simulation Studies #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks
6. Robustifying Models Against Adversarial Attacks by Langevin Dynamics
   2018/05/30 by Vignesh Srinivasan, Srinivasan, Vignesh, Arturo Marbán +9 · 2 citations
   Computer Science · Mathematics · #Advanced Malware Detection Techniques #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #cs.LG #stat.ML
7. Multilevel Generative Samplers for Investigating Critical Phenomena
   2025/03/11 by Ankur Singha, Singha, Ankur, Elia Cellini +9 · 2 citations
   Psychology · #Creativity in Education and Neuroscience
8. Facilitation of renal kallikrein–kinin system prevents the development of hypertension by inhibition of sodium retention
   1999/10/01 by Masataka Majima, Izumi Hayashi, Tomoe Fujita +3 · 1 citation
   Chemistry · Medicine · #Biochemistry #Blood pressure #Bradykinin #Captopril #Chemistry #Coagulation, Bradykinin, Polyphosphates, and Angioedema #Endocrinology #Enzyme #Essential hypertension #Hormonal Regulation and Hypertension #Internal medicine #Kallikrein #Kinin #Kininogen #Medicine #Receptor #Renin-Angiotensin System Studies
9. Sparse Probit Linear Mixed Model
   2015/07/31 by Stephan Mandt, Florian Wenzel, Shinichi Nakajima +4 · 1 citation
   Biochemistry, Genetics and Molecular Biology · Computer Science · Mathematics · #Gene expression and cancer classification #Genetic Mapping and Diversity in Plants and Animals #Genetic and phenotypic traits in livestock #cs.LG #stat.ML
10. Towards Symbolic XAI -- Explanation Through Human Understandable Logical Relationships Between Features
    2024/08/30 by Thomas Schnake, Schnake, Thomas, Farnoush Rezaei Jafari +13 · 1 citation
    Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Scientific Computing and Data Management #Semantic Web and Ontologies #Time Series Analysis and Forecasting
11. Disentangling Total-Variance and Signal-to-Noise-Ratio Improves Diffusion Models
    2025/02/12 by Khaled Kahouli, Kahouli, Khaled, Winfried Ripken +10 · 1 voice · 1 citation
    Computer Science · Decision Sciences · Mathematics · #FOS: Computer and information sciences #Forecasting Techniques and Applications #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Inference #Statistical and numerical algorithms #cs.LG #stat.ML