18 citations · 73 across the 32 of their papers we have counts for
32 papers
Evolving Inspectable O-RAN Slicing xApps with LLMs
Faezeh Dehghan Tarzjani, Bhaskar Krishnamachari
Open RAN (O-RAN) slicing xApps must adapt resource allocations to changing channel conditions and traffic demands while meeting service-level agreements (SLAs). Deep reinforcement…
Spillover Effects under Network Interference When Neighbours' Treatment Effects Are Heterogeneous
Faezeh Dehghan Tarzjani, Bhaskar Krishnamachari
Optimising budget-constrained network interventions requires evaluating not just who is connected, but predicting how strongly individual recipients will propagate the treatment's…
Scaling Bayesian Bandit Encoding with Shared Learning
Bhaskar Krishnamachari
A communication system must choose error protection and decoding effort as channel conditions change. A Bayesian bandit encoder (BBE) uses receiver feedback to learn which transmis…
Localizing Safety Alignment: MLP Layers and Mid-Network Blocks Encode Refusal Behavior in Large Language Models
Mingyu Zong, Sampad Mohanty, Bhaskar Krishnamachari
Safety alignment in large language models is often treated as a distributed property of the entire network, yet its practical brittleness suggests that refusal behavior may be conc…
Closed-Loop Bayesian Bandit Encoder with GRAND Receiver for a Bursty Interference Channel
Bhaskar Krishnamachari
Interleaving mitigates burst errors but introduces decoding delay and removes temporal error structure that a channel-aware decoder could exploit. We consider packet-level selectio…
Wireless Communication Enhanced Value Decomposition for Multi-Agent Reinforcement Learning
Diyi Hu, Bhaskar Krishnamachari
Cooperation in multi-agent reinforcement learning (MARL) benefits from inter-agent communication, yet most approaches assume idealized channels and existing value decomposition met…