Demosaicking by alternating projections: theory and fast one-step implementation YM Lu, M Karzand, M Vetterli IEEE Transactions on Image Processing 19 (8), 2085-2098, 2010 | 76 | 2010 |
Learning a Tree-Structured Ising Model in Order to Make Predictions G Bresler, M Karzand arXiv preprint arXiv:1604.06749, 2016 | 56* | 2016 |
MaxiMin Active Learning in Overparameterized Model Classes M Karzand, RD Nowak IEEE Journal on Selected Areas in Information Theory, 2020 | 22 | 2020 |
Representation Costs of Linear Neural Networks: Analysis and Design Z Dai, M Karzand, N Srebro Thirty-Fifth Conference on Neural Information Processing Systems, 2021 | 21 | 2021 |
Regret Bounds and Regimes of Optimality for User-User and Item-Item Collaborative Filtering G Bresler, M Karzand IEEE Transactions on Information Theory 67 (6), 4197-4222, 2021 | 13 | 2021 |
Active Learning in the Overparameterized and Interpolating Regime M Karzand, RD Nowak arXiv preprint arXiv:1905.12782, 2019 | 10 | 2019 |
Achievability of Nonlinear Degrees of Freedom in Correlatively Changing Fading Channels M Karzand, L Zheng arXiv preprint arXiv:1401.2169, 2014 | 3 | 2014 |
Inferning trees M Karzand, G Bresler 2015 53rd Annual Allerton Conference on Communication, Control, and …, 2015 | 2 | 2015 |
Assessing digital surface models by verifying shadows: a sensor network approach C Carneiro, M Karzand, F Golay, YM Lu, M Vetterli Spatial Data Quality: From Process to Decisions. Boca Raton, CRC Press, 2010 | 2 | 2010 |
Assessing Digital Surface Models by Verifying Shadows: A Sensor Network Approach M Karzand, Y Lu, M Vetterli, C Carneiro, F Golay 6th International Symposium on Spatial Data Quality, 2009 | 2 | 2009 |
Minimax Prediction in Tree Ising Models G Bresler, M Karzand 2020 IEEE International Symposium on Information Theory (ISIT), 1325-1330, 2020 | 1 | 2020 |
Communication strategies for low-latency trading M Karzand, LR Varshney 2015 IEEE International Symposium on Information Theory (ISIT), 2121-2125, 2015 | 1 | 2015 |
Iterative demosaicking accelerated: theory and fast noniterative implementations YM Lu, M Karzand, M Vetterli Proc. SPIE Conference on Computational Imaging VI 7246 (LCAV-CONF-2009-007), 2009 | 1 | 2009 |
Maximin Active Learning with Data-Dependent Norms M Karzand, RD Nowak 2019 57th Annual Allerton Conference on Communication, Control, and …, 2019 | | 2019 |
Regret Bounds and Regimes of Optimality for User-User and Item-Item Collaborative Filtering G Bresler, M Karzand 2018 Information Theory and Applications Workshop (ITA), 1-37, 2018 | | 2018 |
Theoretical Study of Two Prediction-Centric Problems: Graphical Model Learning and Recommendations M Karzand Massachusetts Institute of Technology, 2017 | | 2017 |
Degrees of freedom in fading channels with memory: Achievability through nonlinear decoding M Karzand, L Zheng 2014 52nd Annual Allerton Conference on Communication, Control, and …, 2015 | | 2015 |
Interning Trees GB Mina Karzand Allerton Conf. on Communication, Control, and Computing, 2015 | | 2015 |
Achievable Degrees of Freedom in MIMO Correlatively Changing Fading Channels M Karzand, L Zheng arXiv preprint arXiv:1401.6512, 2014 | | 2014 |