Coding for multiple packets in erasure networks. - Hamid Dadkhahi; Terence Chan; Ingmar Land (AusCTW, 2012)

Multiple-packet coding in block fading channels. - Hamid Dadkhahi; Terence Chan; Ingmar Land (ISCIT, 2012)

Inverse polynomial reconstruction method in DCT domain. - Hamid Dadkhahi; Atanas P. Gotchev; Karen O. Egiazarian (EURASIP J. Adv. Signal Process., 2012)

Spectral compressive sensing with polar interpolation. - Karsten Fyhn; Hamid Dadkhahi; Marco F. Duarte (ICASSP, 2013)

Masking schemes for image manifolds. - Hamid Dadkhahi; Marco F. Duarte (SSP, 2014)

Image masking schemes for local manifold learning methods. - Hamid Dadkhahi; Marco F. Duarte (ICASSP, 2015)

Isomap out-of-sample extension for noisy time series data. - Hamid Dadkhahi; Marco F. Duarte; Benjamin M. Marlin (MLSP, 2015)

Learning Shallow Detection Cascades for Wearable Sensor-Based Mobile Health Applications. - Hamid Dadkhahi; Nazir Saleheen; Santosh Kumar 001; Benjamin M. Marlin (CoRR, 2016)

Masking Strategies for Image Manifolds. - Hamid Dadkhahi; Marco F. Duarte (IEEE Trans. Image Process., 2016)

Learning Tree-Structured Detection Cascades for Heterogeneous Networks of Embedded Devices. - Hamid Dadkhahi; Benjamin M. Marlin (KDD, 2017)

Out-of-Sample Extension for Dimensionality Reduction of Noisy Time Series. - Hamid Dadkhahi; Marco F. Duarte; Benjamin M. Marlin (IEEE Trans. Image Process., 2017)

Alternating Linear Bandits for Online Matrix-Factorization Recommendation. - Hamid Dadkhahi; Sahand Negahban (CoRR, 2018)

Combinatorial Black-Box Optimization with Expert Advice. - Hamid Dadkhahi; Karthikeyan Shanmugam; Jesus Rios; Payel Das; Samuel C. Hoffman; Troy David Loeffler; Subramanian Sankaranarayanan (KDD, 2020)

Fourier Representations for Black-Box Optimization over Categorical Variables. - Hamid Dadkhahi; Jesus Rios; Karthikeyan Shanmugam; Payel Das (AAAI, 2022)

Order Matters in the Presence of Dataset Imbalance for Multilingual Learning. - Dami Choi; Derrick Xin; Hamid Dadkhahi; Justin Gilmer; Ankush Garg; Orhan Firat; Chih-Kuan Yeh; Andrew M. Dai; Behrooz Ghorbani (NeurIPS, 2023)

Don't Throw Away Data: Better Sequence Knowledge Distillation. - Jun Wang 126; Eleftheria Briakou; Hamid Dadkhahi; Rishabh Agarwal; Colin Cherry; Trevor Cohn (CoRR, 2024)

Learning from others' mistakes: Finetuning machine translation models with span-level error annotations. - Lily H. Zhang; Hamid Dadkhahi; Mara Finkelstein; Firas Trabelsi; Jiaming Luo; Markus Freitag (CoRR, 2024)