3 papers
cs.IT2026
Learning the Influence Graph of a Markov Process that Randomly Resets to the Past
Sudharsan Senthil, Avhishek Chatterjee
Learning the influence graph G of a high-dimensional Markov process is central to many application domains, including social networks, neuroscience, and financial risk analysis. Ho…
quant-ph2025
Expander qLDPC Codes against Long-range Correlated Errors in Memory
Yash Deepak Kashtikar, Pranay Mathur, Sudharsan Senthil +1
Fault-tolerance using constant space-overhead against long-range correlated errors is an important practical question. In the pioneering works [Terhal and Burkard, PRA 2005], [Alif…
cs.IT2024
Learning Robust Representations for Communications over Interference-limited Channels
Shubham Paul, Sudharsan Senthil, Preethi Seshadri +2
In the context of cellular networks, users located at the periphery of cells are particularly vulnerable to substantial interference from neighbouring cells, which can be represent…