2024

1. J. Bae, Y. Baek, and H. Jeong, "Exploring how deep learning decodes anomalous diffusion via Grad-CAM", arXiv:2410.16345

2. J.-Y. Gyhm, G. Kim, H. Kwon, and Y. Baek, "Boltzmann sampling by diabatic quantum annealing", arXiv:2409.18126

3. E. Kwon, Y. Oh, and Y. Baek, "Phase separation of chemokinetic active particles", arXiv:2407.16676 

4. E. Kwon, J.-M. Park, J. S. Lee, and Y. Baek "Unified hierarchical relationship between thermodynamic tradeoff relations", arXiv:2311.01098, Phys. Rev. E 110, 044131 (2024).

5. K.-W. Kim, Y. Choe, and Y. Baek, "Symmetry-breaking motility of penetrable objects in active fluids", arXiv:2304.01645, Phys. Rev. E 109, 014614 (2024).

6. E. Kwon, and Y. Baek, "α-divergence improves the entropy production estimation via machine learning", arXiv:2303.02901, Phys. Rev. E 109, 014143 (2024).

7. K. Son, Y. Choe, E. Kwon, L. G. Rigon, Y. Baek, and H.-Y. Kim, "Dynamics of self-propelled particles in vibrated dense granular media", Soft Matter 20, 2777 (2024).

2023

1. G. Kim, H. Lee, J. Jo, and Y. Baek, "Tradeoff of generalization error in unsupervised learning", arXiv:2303.05718, J. Stat. Mech.: Theor. Exp. 2023, 083401 (2023).

2. Y. Oh, and Y. Baek, "Effects of the self-propulsion parity on the efficiency of a fuel-consuming active heat engine", arXiv:2302.13870, Phys. Rev. E 108, 024602 (2023).