| 1. |
Siyang Wang, Yoshinari Takeishi, Jun'ichi Takeuchi, Stabilizers for the stochastic gradient descent method with application in deep learning, MIRAI 2.0 R&I Week 2023, 2023.11. |
| 2. |
Yoshinari Takeishi, Masazumi Iida, Jun'ichi Takeuchi, Characterizing Eigenspaces of Fisher Information Matrix in Simple ReLU Networks, 10th International Congress on Industrial and Applied Mathematics (ICIAM 2023), 2023.08. |
| 3. |
Masazumi Iida, Kohei Miyamoto, Shota Kawanaka, Yoshinari Takeishi, Chansu Han, Tao Ban, Takeshi Takahashi, Jun’ichi Takeuchi, Multimodal Feature Integration for High-Accuracy Network Intrusion Detection, International Conference on Computer Applications and Information Security (ICCAIS), 2023.03. |
| 4. |
Yoshinari Takeishi, A novel method to stabilize gradient descent learning, MIRAI2.0 Research & Innovation Week 2022 Theoretical aspects and foundations of AI, 2022.11. |
| 5. |
Yoshinari Takeishi, Masanori Kawakita, Jun'ichi Takeuchi, Sparse superposition codes with Bernoulli dictionary, Forum “Math-for-Industry” 2012 “Information Recovery and Discovery”, 2012.10. |
| 6. |
On Sparse Superposition Codes and Discretization of Their Dictionaries. |
| 7. |
Yoshinari Takeishi, Studies on the Deep Learning Theory, MIRAI 2.0 AI-TEG Workshop Theoretical aspects and foundations of AI, 2022.04. |
