A matrix completion approach to linear index coding problem. - Homa Esfahanizadeh; Farshad Lahouti; Babak Hassibi (ITW, 2014)

The finite length analysis of spatially-coupled codes for 1-D magnetic recording channels. - Homa Esfahanizadeh; Ahmed H. Hareedy; Lara Dolecek (ACSSC, 2016)

Optimized Design of Finite-Length Separable Circulant-Based Spatially-Coupled Codes: An Absorbing Set-Based Analysis. - Behzad Amiri; Amirhossein Reisizadehmobarakeh; Homa Esfahanizadeh; Jörg Kliewer; Lara Dolecek (IEEE Trans. Commun., 2016)

A novel combinatorial framework to construct spatially-coupled codes: Minimum overlap partitioning. - Homa Esfahanizadeh; Ahmed H. Hareedy; Lara Dolecek (ISIT, 2017)

High performance non-binary spatially-coupled codes for flash memories. - Ahmed H. Hareedy; Homa Esfahanizadeh; Lara Dolecek (ITW, 2017)

Multi-Dimensional Spatially-Coupled Code Design Through Informed Relocation of Circulants. - Homa Esfahanizadeh; Ahmed H. Hareedy; Lara Dolecek (Allerton, 2018)

Spatially-Coupled Code Design for Partial-Response Channels: Optimal Object-Minimization Approach. - Ahmed H. Hareedy; Homa Esfahanizadeh; Andrew Tan; Lara Dolecek (GLOBECOM, 2018)

Coding for Channels with SNR Variation: Spatial Coupling and Efficient Interleaving. - Homa Esfahanizadeh; Ahmed H. Hareedy; Ruiyi Wu; Rick Galbraith; Lara Dolecek (CoRR, 2018)

A Finite-Length Construction of Irregular Spatially-Coupled Codes. - Homa Esfahanizadeh; Ruiyi Wu; Lara Dolecek (ITW, 2019)

Finite-Length Construction of High Performance Spatially-Coupled Codes via Optimized Partitioning and Lifting. - Homa Esfahanizadeh; Ahmed H. Hareedy; Lara Dolecek (IEEE Trans. Commun., 2019)

Spatially Coupled Codes with Sub-Block Locality: Joint Finite Length-Asymptotic Design Approach. - Homa Esfahanizadeh; Eshed Ram; Yuval Cassuto; Lara Dolecek (ISIT, 2020)

Non-Uniform Windowed Decoding For Multi-Dimensional Spatially-Coupled LDPC Codes. - Lev Tauz; Homa Esfahanizadeh; Lara Dolecek (ISIT, 2020)

Bringing Network Coding into SDN: A Case-study for Highly Meshed Heterogeneous Communications. - Alejandro Cohen; Homa Esfahanizadeh; Bruno Sousa; João P. Vilela; Miguel Luís; Duarte M. G. Raposo; François Michel; Susana Sargento; Muriel Médard (CoRR, 2020)

Multi-Dimensional Spatially-Coupled Code Design: Enhancing the Cycle Properties. - Homa Esfahanizadeh; Lev Tauz; Lara Dolecek (IEEE Trans. Commun., 2020)

Bringing Network Coding into SDN: Architectural Study for Meshed Heterogeneous Communications. - Alejandro Cohen; Homa Esfahanizadeh; Bruno Sousa; João P. Vilela; Miguel Luís; Duarte M. G. Raposo; François Michel; Susana Sargento; Muriel Médard (IEEE Commun. Mag., 2021)

NeuraCrypt: Hiding Private Health Data via Random Neural Networks for Public Training. - Adam Yala; Homa Esfahanizadeh; Rafael G. L. D'Oliveira; Ken R. Duffy; Manya Ghobadi; Tommi S. Jaakkola; Vinod Vaikuntanathan; Regina Barzilay; Muriel Médard (CoRR, 2021)

Stream Distributed Coded Computing. - Alejandro Cohen; Guillaume Thiran; Homa Esfahanizadeh; Muriel Médard (IEEE J. Sel. Areas Inf. Theory, 2021)

Distributed Computations with Layered Resolution. - Homa Esfahanizadeh; Alejandro Cohen; Muriel Médard; Shlomo Shamai Shitz (CloudNet, 2022)

Stream Iterative Distributed Coded Computing for Learning Applications in Heterogeneous Systems. - Homa Esfahanizadeh; Alejandro Cohen; Muriel Médard (INFOCOM, 2022)

A Bivariate Invariance Principle. - Alexander Mariona; Homa Esfahanizadeh; Rafael G. L. D'Oliveira; Muriel Médard (ITW, 2022)

Syfer: Neural Obfuscation for Private Data Release. - Adam Yala; Victor Quach; Homa Esfahanizadeh; Rafael G. L. D'Oliveira; Ken R. Duffy; Muriel Médard; Tommi S. Jaakkola; Regina Barzilay (CoRR, 2022)

A Unified Spatially Coupled Code Design: Threshold, Cycles, and Locality. - Homa Esfahanizadeh; Eshed Ram; Yuval Cassuto; Lara Dolecek (CoRR, 2022)

Millimeter-Wave in Milliseconds: Sliding Window Network Coding Outperforms Rateless Codes. - Eurico Dias; Duarte M. G. Raposo; Homa Esfahanizadeh; Alejandro Cohen; Tânia Ferreira; Miguel Luís; Susana Sargento; Muriel Médard (CoRR, 2022)

InfoShape: Task-Based Neural Data Shaping via Mutual Information. - Homa Esfahanizadeh; William Wu; Manya Ghobadi; Regina Barzilay; Muriel Médard (ICASSP, 2023)

A Non-Asymptotic Analysis of Mismatched Guesswork. - Alexander Mariona; Homa Esfahanizadeh; Rafael G. L. D'Oliveira; Muriel Médard (ISIT, 2023)

Lightning: A Reconfigurable Photonic-Electronic SmartNIC for Fast and Energy-Efficient Inference. - Zhizhen Zhong; Mingran Yang; Jay Lang; Christian Williams; Liam Kronman; Alexander Sludds; Homa Esfahanizadeh; Dirk R. Englund; Manya Ghobadi (SIGCOMM, 2023)

Millimeter-Wave Testbed and Modeling in NeXt Generation URLLC Communications. - Eurico Dias; Duarte M. G. Raposo; Homa Esfahanizadeh; Alejandro Cohen; Vipindev Adat Vasudevan; Tânia Ferreira; Miguel Luís; Susana Sargento; Muriel Médard (WoWMoM, 2023)

PEOPL: Characterizing Privately Encoded Open Datasets with Public Labels. - Homa Esfahanizadeh; Adam Yala; Rafael G. L. D'Oliveira; Andrea J. D. Jaba; Victor Quach; Ken R. Duffy; Tommi S. Jaakkola; Vinod Vaikuntanathan; Manya Ghobadi; Regina Barzilay; Muriel Médard (CoRR, 2023)

Sliding Window Network Coding Enables NeXt Generation URLLC Millimeter-Wave Networks. - Eurico Dias; Duarte M. G. Raposo; Homa Esfahanizadeh; Alejandro Cohen; Tânia Ferreira; Miguel Luís; Susana Sargento; Muriel Médard (IEEE Netw. Lett., 2023)

On the Benefits of Coding for Network Slicing. - Homa Esfahanizadeh; Vipindev Adat Vasudevan; Benjamin D. Kim; Shruti Siva; Jennifer Kim; Alejandro Cohen; Muriel Médard (ICC Workshops, 2024)

TexShape: Information Theoretic Sentence Embedding for Language Models. - Kaan Kale; Homa Esfahanizadeh; Noel Elias; Oguzhan Baser; Muriel Médard; Sriram Vishwanath (ISIT, 2024)

Successive Refinement in Large-Scale Computation: Advancing Model Inference Applications. - Homa Esfahanizadeh; Alejandro Cohen; Shlomo Shamai; Muriel Médard (CoRR, 2024)

MultiTok: Variable-Length Tokenization for Efficient LLMs Adapted from LZW Compression. - Noel Elias; Homa Esfahanizadeh; Kaan Kale; Sriram Vishwanath; Muriel Médard (CoRR, 2024)

Successive Refinement in Large-Scale Computation: Expediting Model Inference Applications. - Homa Esfahanizadeh; Alejandro Cohen; Shlomo Shamai; Muriel Médard (IEEE Trans. Signal Process., 2025)

Multi-Level Reliability Interface for Semantic Communications Over Wireless Networks. - Tze-Yang Tung; Homa Esfahanizadeh; Jinfeng Du; Harish Viswanathan (IEEE Trans. Commun., 2025)