Publicaties
2024
Robust online portfolio optimization with cash flows (2024)Omega, 129. Article 103169. Lyu, B., Wu, B., Guo, S., Gu, J. & Ching, W.-K.https://doi.org/10.1016/j.omega.2024.103169Are Sparse Neural Networks Better Hard Sample Learners? (2024)In British Machine Vision Conference (BMVC 2024). Xiao, Q., Wu, B., Yin, L., Gadzinski, C. N., Huang, T., Pechenizkiy, M. & Mocanu, D. C.Dynamic Sparse Training versus Dense Training: The Unexpected Winner in Image Corruption Robustness (2024)[Working paper › Preprint]. ArXiv.org. Wu, B., Xiao, Q., Wang, S., Strisciuglio, N., Pechenizkiy, M., van Keulen, M., Mocanu, D. C. & Mocanu, E.https://doi.org/10.48550/arXiv.2410.03030Are Sparse Neural Networks Better Hard Sample Learners? (2024)[Working paper › Preprint]. ArXiv.org. Xiao, Q., Wu, B., Yin, L., Gadzinski, C. N., Huang, T., Pechenizkiy, M. & Mocanu, D. C.https://doi.org/10.48550/arXiv.2409.09196Insights into Dynamic Sparse Training: Theory Meets Practice (2024)[Contribution to conference › Poster] European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2024. Wu, B., van Keulen, M., Mocanu, D. C. & Mocanu, E.Dynamic Data Pruning for Automatic Speech Recognition (2024)In Interspeech 2024 (pp. 4488-4492). Xiao, Q., Ma, P., Fernandez-Lopez, A., Wu, B., Yin, L., Petridis, S., Pechenizkiy, M., Pantic, M., Mocanu, D. C. & Liu, S.Dynamic Data Pruning for Automatic Speech Recognition (2024)[Working paper › Preprint]. ArXiv.org. Xiao, Q., Ma, P., Fernandez-Lopez, A., Wu, B., Yin, L., Petridis, S., Pechenizkiy, M., Pantic, M., Mocanu, D. C. & Liu, S.https://doi.org/10.48550/arXiv.2406.18373E2ENet: Dynamic Sparse Feature Fusion for Accurate and Efficient 3D Medical Image Segmentation (2024)In 38th Annual Conference on Neural Information Processing Systems, NeurIPS 2024. MLResearchPress. Wu, B., Xiao, Q., Liu, S., Yin, L., Pechenizkiy, M., Mocanu, D. C., van Keulen, M. & Mocanu, E.https://openreview.net/forum?id=Xp8qhdmeb4
2023
E2ENet: Dynamic Sparse Feature Fusion for Accurate and Efficient 3D Medical Image Segmentation (2023)[Working paper › Preprint]. ArXiv.org. Wu, B., Xiao, Q., Liu, S., Yin, L., Pechenizkiy, M., Mocanu, D. C., van Keulen, M. & Mocanu, E.https://doi.org/10.48550/arXiv.2312.04727Weighted Multivariate Mean Reversion for Online Portfolio Selection (2023)In Machine Learning and Knowledge Discovery in Databases: Research Track: European Conference, ECML PKDD 2023, Turin, Italy, September 18–22, 2023, Proceedings, Part V (pp. 255-270) (Lecture Notes in Computer Science; Vol. 14173). Wu, B., Lyu, B. & Gu, J.https://doi.org/10.1007/978-3-031-43424-2_16
Scan de QR-code of