3 citations · 4 across the 8 of their papers we have counts for
8 papers
Real-Time Text Transmission via LLM-Based Entropy Coding over Fixed-Rate Channels
Vishnu Teja Kunde, Jean-Francois Chamberland, Krishna R. Narayanan +1
Learning, prediction, and compression are intimately connected: a model that accurately predicts the next symbol in a sequence can be coupled with a source coder to compress that s…
Teaching at Scale: Leveraging AI to Evaluate and Elevate Engineering Education
Jean-Francois Chamberland, Martin C. Carlisle, Arul Jayaraman +3
Evaluating teaching effectiveness at scale remains a persistent challenge for large universities, particularly within engineering programs that enroll tens of thousands of students…
Density Evolution Analysis of Sparse-Block IDMA
Jean-Francois Chamberland, Gianluigi Liva, Krishna Narayanan
Sparse block interleaver division multiple access (SB-IDMA) is a recently introduced unsourced multiple access protocol that aims to improve the performance of the grant-free two-s…
Multi-User SR-LDPC Codes
Jamison R. Ebert, Jean-Francois Chamberland, Krishna R. Narayanan
This article introduces a novel non-orthogonal multiple access (NOMA) scheme for coordinated uplink channels. The scheme builds on the recently proposed sparse-regression low-densi…
Evolution of the 5G New Radio Two-Step Random Access towards 6G Unsourced MAC
Patrick Agostini, Jean-Francois Chamberland, Federico Clazzer +7
This report summarizes some considerations on possible evolutions of grant-free random access in the next generation of the 3GPP wireless cellular standard. The analysis is carried…
Multi-User SR-LDPC Codes via Coded Demixing with Applications to Cell-Free Systems
Jamison R. Ebert, Jean-Francois Chamberland, Krishna R. Narayanan
Novel sparse regression LDPC (SR-LDPC) codes exhibit excellent performance over additive white Gaussian noise (AWGN) channels in part due to their natural provision of shaping gain…
Sparse Regression LDPC Codes
Jamison R. Ebert, Jean-Francois Chamberland, Krishna R. Narayanan
This article introduces a novel concatenated coding scheme called sparse regression LDPC (SR-LDPC) codes. An SR-LDPC code consists of an outer non-binary LDPC code and an inner spa…
Transformers are Provably Optimal In-context Estimators for Wireless Communications
Vishnu Teja Kunde, Vicram Rajagopalan, Chandra Shekhara Kaushik Valmeekam +4
Pre-trained transformers exhibit the capability of adapting to new tasks through in-context learning (ICL), where they efficiently utilize a limited set of prompts without explicit…