198 citations · 445 across the 40 of their papers we have counts for
53 papers
Conformal Risk Control for Multiuser Beamforming
Aman Goel, Sundeep Prabhakar Chepuri
We consider multiuser downlink beamforming with prescribed signal-to-interference-plus-noise ratio (SINR) requirements under imperfect channel state information and a tight transmi…
Signal Processing over Product DAGs: Causal Shifts and Filters
Sundeep Prabhakar Chepuri, Antonio G. Marques, Maulik Devmurari +1
We develop a signal processing framework for signals indexed by the product of two directed acyclic graphs (DAGs) and described by a linear structural equation model (SEM). Such a…
Learning Long Range Spatio-Temporal Representations over Continuous Time Dynamic Graphs with State Space Models
Ayushman Raghuvanshi, Thummaluru Siddartha Reddy, Sundeep Prabhakar Chepuri +1
Continuous-time dynamic graphs (CTDGs) provide a richer framework to capture fine-grained temporal patterns in evolving relational data. Long-range information propagation is a key…
Task-driven Heterophilic Graph Structure Learning
Ayushman Raghuvanshi, Gonzalo Mateos, Sundeep Prabhakar Chepuri
Graph neural networks (GNNs) often struggle to learn discriminative node representations for heterophilic graphs, where connected nodes tend to have dissimilar labels and feature s…
Covariance Scattering Transforms
Andrea Cavallo, Ayushman Raghuvanshi, Sundeep Prabhakar Chepuri +1
Machine learning and data processing techniques relying on covariance information are widespread as they identify meaningful patterns in unsupervised and unlabeled settings. As a p…
Conformal Inference for Time Series over Graphs
Sonakshi Dua, Gonzalo Mateos, Sundeep Prabhakar Chepuri
Trustworthy decision making in networked, dynamic environments calls for innovative uncertainty quantification substrates in predictive models for graph time series. Existing confo…