Matching DNN compression and cooperative training with resources and data availability F Malandrino, G Di Giacomo, A Karamzade, M Levorato, CF Chiasserini IEEE INFOCOM 2023-IEEE Conference on Computer Communications, 1-10, 2023 | 7 | 2023 |
Reinforcement learning from delayed observations via world models A Karamzade, K Kim, M Kalsi, R Fox 1st Reinforcement Learning Conference (RLC), 2024 | 4 | 2024 |
Structure learning of sparse GGMs over multiple access networks M Tavassolipour, A Karamzade, R Mirzaeifard, SA Motahari, ... IEEE Transactions on Communications 68 (2), 987-997, 2019 | 3 | 2019 |
Moonwalk: Inverse-Forward Differentiation D Krylov, A Karamzade, R Fox arXiv preprint arXiv:2402.14212, 2024 | 1 | 2024 |
Tuning DNN Model Compression to Resource and Data Availability in Cooperative Training F Malandrino, G Di Giacomo, A Karamzade, M Levorato, CF Chiasserini IEEE/ACM Transactions on Networking, 2023 | | 2023 |
Regularizing Recurrent Neural Networks via Sequence Mixup A Karamzade, A Najafi, SA Motahari arXiv preprint arXiv:2012.07527, 2020 | | 2020 |