Arda Fazla

Arda Fazla

PhD Student at Purdue University, Electrical and Computer Engineering Department

Publications

Preprints

  1. A. Fazla, E. Kaya, A. Upadhyay, A. Hashemi, “Lower Bounds and Proximally Anchored SGD for Non-Convex Minimization Under Unbounded Variance”, Under Review at NeurIPS 2026.
    Available: https://arxiv.org/abs/2604.16620

  2. A. Upadhyay, A. Fazla, A. Hashemi, “Beyond Bounded Variance: Variance-Reduced Normalized Methods for Nonconvex Optimization under Blum-Gladyshev Noise”, Under Review at NeurIPS 2026.
    Available: https://arxiv.org/abs/2605.15314

Conference Papers

  1. A. Fazla, A. Hashemi, “Mitigating Spurious Correlations with Memorization-Guided Dataset De-Biasing Selection”, Uncertainty in Artificial Intelligence, 2026.
    Available: https://arxiv.org/abs/2606.02830

  2. K. G. Ince, A. Köksal, A. Fazla, A. A. Alatan, “Semi-Automatic Annotation for Object Detection”, Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, 2021, pp. 1233-1239.
    Available: https://doi.org/10.1109/ICCVW54120.2021.00143

Journal Papers

  1. S. F. Tekin, A. Fazla, S. S. Kozat, “Numerical Weather Forecasting using Convolutional-LSTM with Attention and Context Matcher Mechanisms”, IEEE Transactions on Geoscience and Remote Sensing, 2024.
    Available: https://arxiv.org/abs/2102.00696
    Code: https://github.com/sftekin/spatio-temporal-weather-forecasting

  2. A. Fazla, M. E. Aydin, S. S. Kozat, “Time-Aware and Context-Sensitive Ensemble Learning for Sequential Data”, IEEE Transactions on Artificial Intelligence, 2023.
    Available: https://doi.org/10.1109/TAI.2023.3319308
    Code: https://github.com/ardafazla/context-time-aware-ensemble

  3. M. E. Aydin, A. Fazla, S. S. Kozat, “Hybrid State Space-based Learning for Sequential Data Prediction with Joint Optimization”, arXiv preprint arXiv:2309.10553, 2023.
    Available: https://arxiv.org/abs/2309.10553
    Code: https://github.com/mustafaaydn/lstm-sx

  4. A. Fazla, M. E. Aydin, S. S. Kozat, “Joint Optimization of Linear and Nonlinear Models for Sequential Regression”, Digital Signal Processing, Elsevier, 2022.
    Available: https://doi.org/10.1016/j.dsp.2022.103802
    Code: https://github.com/ardafazla/jointoptimization