Regularizing Recurrent Neural Networks via Sequence Mixup. - Armin Karamzade; Amir Najafi 002; Seyed Abolfazl Motahari (CoRR, 2020)

Structure Learning of Sparse GGMs Over Multiple Access Networks. - Mostafa Tavassolipour; Armin Karamzade; Reza Mirzaeifard; Seyed Abolfazl Motahari; Mohammad Taghi Manzuri Shalmani (IEEE Trans. Commun., 2020)

Matching DNN Compression and Cooperative Training with Resources and Data Availability. - Francesco Malandrino; Giuseppe Di Giacomo; Armin Karamzade; Marco Levorato; Carla-Fabiana Chiasserini (INFOCOM, 2023)

Reinforcement Learning from Delayed Observations via World Models. - Armin Karamzade; Kyungmin Kim 002; Montek Kalsi; Roy Fox (RLJ, 2024)

Moonwalk: Inverse-Forward Differentiation. - Dmitrii Krylov; Armin Karamzade; Roy Fox (CoRR, 2024)

Tuning DNN Model Compression to Resource and Data Availability in Cooperative Training. - Francesco Malandrino; Giuseppe Di Giacomo; Armin Karamzade; Marco Levorato; Carla-Fabiana Chiasserini (IEEE/ACM Trans. Netw., 2024)

Adapting World Models with Latent-State Dynamics Residuals. - JB Lanier; Kyungmin Kim 002; Armin Karamzade; Yifei Liu; Ankita Sinha; Kat He; Davide Corsi; Roy Fox (CoRR, 2025)