A Frequency And Phase Attention Based Deep Learning Framework For Partial Discharge Detection On Insulated Overhead Conductors. - Mohammad Zunaed Rafi; Ankur Nath; Md. Saifur Rahman (CoRR, 2020)

Unveiling the Limits of Learned Local Search Heuristics: Are You the Mightiest of the Meek? - Ankur Nath; Alan Kuhnle (CoRR, 2023)

Discretely beyond 1/e: Guided Combinatorial Algortihms for Submodular Maximization. - Yixin Chen 007; Ankur Nath; Chunli Peng; Alan Kuhnle (NeurIPS, 2024)

Discretely Beyond 1/e: Guided Combinatorial Algorithms for Submodular Maximization. - Yixin Chen 007; Ankur Nath; Chunli Peng; Alan Kuhnle (CoRR, 2024)

A Benchmark for Maximum Cut: Towards Standardization of the Evaluation of Learned Heuristics for Combinatorial Optimization. - Ankur Nath; Alan Kuhnle (CoRR, 2024)

Mamba in Vision: A Comprehensive Survey of Techniques and Applications. - Md. Maklachur Rahman; Abdullah Aman Tutul; Ankur Nath; Lamyanba Laishram; Soon Ki Jung; Tracy Hammond (CoRR, 2024)

Theoretically Grounded Pruning of Large Ground Sets for Constrained, Discrete Optimization. - Ankur Nath; Alan Kuhnle (AISTATS, 2025)

MaxCutBench: Revisiting and Benchmarking Graph Neural Networks for Maximum Cut. - Ankur Nath; Alan Kuhnle (Trans. Mach. Learn. Res., 2025)