Deep robust regression. - Tzvi Diskin; Gordana Draskovic; Frédéric Pascal 001; Ami Wiesel (CAMSAP, 2017)

Deep MIMO detection. - Neev Samuel; Tzvi Diskin; Ami Wiesel (SPAWC, 2017)

COFGA: Classification Of Fine-Grained Features In Aerial Images. - Eran Dahan; Tzvi Diskin (CoRR, 2018)

Learning to Detect. - Neev Samuel; Tzvi Diskin; Ami Wiesel (IEEE Trans. Signal Process., 2019)

Conditional Frechet Inception Distance. - Michael Soloveitchik; Tzvi Diskin; Efrat Morin; Ami Wiesel (CoRR, 2021)

cofga: A Dataset for Fine Grained Classification of Objects from Aerial Imagery. - Eran Dahan; Tzvi Diskin; Amit Amram; Amit Moryossef; Omer Koren (CoRR, 2021)

Learning Minimum Variance Unbiased Estimators. - Tzvi Diskin; Yonina C. Eldar; Ami Wiesel (SAM, 2022)

Learning to Detect with Constant False Alarm Rate. - Tzvi Diskin; Uri Okun; Ami Wiesel (SPAWC, 2022)

Probabilistic Simplex Component Analysis by Importance Sampling. - Nerya Granot; Tzvi Diskin; Nicolas Dobigeon; Ami Wiesel (IEEE Signal Process. Lett., 2023)

Learning to Estimate Without Bias. - Tzvi Diskin; Yonina C. Eldar; Ami Wiesel (IEEE Trans. Signal Process., 2023)

Self-Supervised Learning for Covariance Estimation. - Tzvi Diskin; Ami Wiesel (EUSIPCO, 2024)

CFARnet: Deep learning for target detection with constant false alarm rate. - Tzvi Diskin; Yiftach Beer; Uri Okun; Ami Wiesel (Signal Process., 2024)

Comparing KL Divergence and MSE for Covariance Estimation in Target Detection. - Daniel Busbib; Tzvi Diskin; Ami Wiesel (SSP, 2025)