Loading the SOTA2 catalog…
SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Device-system Co-design of Photonic Neuromorphic Processor using Reinforcement Learning |
|---|
| Yingheng Tang, Princess Tara Zamani, Ruiyang Chen |
| 2022 |
| arxiv 2203.06061 |
| Scientific Computing with Diffractive Optical Neural Networks | Ruiyang Chen, Yingheng Tang, Jianzhu Ma | 2023 | arxiv 2302.10905 |
|---|
| Towards quantum enhanced adversarial robustness in machine learning | Maxwell T. West, Shu-Lok Tsang, Jia S. Low | 2023 | arxiv 2306.12688 |
|---|
| Deep learning applications for quality control in particle detector construction | N. Akchurin, J. Damgov, S. Dugad | 2022 | arxiv 2203.08969 |
|---|
| Backpropagation through nonlinear units for all-optical training of neural networks | Xianxin Guo, Thomas D. Barrett, Zhiming M. Wang | 2019 | arxiv 1912.12256 |
|---|
| Learning Curves for Noisy Heterogeneous Feature-Subsampled Ridge Ensembles | Benjamin S. Ruben, Cengiz Pehlevan | 2023 | arxiv 2307.03176 |
|---|
| Potential of Domain Adaptation in Machine Learning in Ecology and Hydrology to Improve Model Extrapolability | Haiyang Shi | 2024 | arxiv 2403.11331 |
|---|
| Simple Hamiltonian dynamics is a powerful quantum processing resource | Akitada Sakurai, Aoi Hayashi, William John Munro | 2024 | arxiv 2405.14245 |
|---|
| Practical insights on the effect of different encodings, ans\"atze and measurements in quantum and hybrid convolutional neural networks | Jesús Lozano-Cruz, Albert Nieto-Morales, Oriol Balló-Gimbernat | 2025 | arxiv 2506.20355 |
|---|
| Adversarially Robust Quantum Transfer Learning | Amena Khatun, Muhammad Usman | 2025 | arxiv 2510.16301 |
|---|