Distributed Learning with Biogeography-Based Optimization. - Carre Scheidegger; Arpit Shah; Dan Simon (IEA/AIE (2), 2011)

Constrained biogeography-based optimization for invariant set computation. - Arpit Shah; Dan Simon; Hanz Richter (ACC, 2012)

Distributed learning with biogeography-based optimization: Markov modeling and robot control. - Dan Simon; Arpit Shah; Carre Scheidegger (Swarm Evol. Comput., 2013)

Spiking Neural Network on Neuromorphic Hardware for Energy-Efficient Unidimensional SLAM. - Guangzhi Tang; Arpit Shah; Konstantinos P. Michmizos 001 (IROS, 2019)

Introducing Astrocytes on a Neuromorphic Processor: Synchronization, Local Plasticity and Edge of Chaos. - Guangzhi Tang; Ioannis E. Polykretis; Vladimir A. Ivanov; Arpit Shah; Konstantinos P. Michmizos 001 (CoRR, 2019)

From Roots to Fruits: Exploring Lineage for Dataset Recommendations. - Tarun Kumar; Arpit Shah; Ashish Mishra 005; Suparna Bhattacharya; Arun Mahendran; Ted Dunning; Glyn Bowden (DEC@SIGMOD, 2023)

LLM-Guided Counterfactual Data Generation for Fairer AI. - Ashish Mishra 005; Gyanaranjan Nayak; Suparna Bhattacharya; Tarun Kumar; Arpit Shah; Martin Foltin (WWW (Companion Volume), 2024)

Data Efficient Evaluation of Large Language Models and Text-to-Image Models via Adaptive Sampling. - Cong Xu; Gayathri Saranathan; Mahammad Parwez Alam; Arpit Shah; James Lim; Soon Yee Wong; Foltin Martin; Suparna Bhattacharya (CoRR, 2024)

Constructing a metadata knowledge graph as an atlas for demystifying AI pipeline optimization. - Revathy Venkataramanan; Aalap Tripathy; Tarun Kumar; Sergey Serebryakov; Annmary Justine; Arpit Shah; Suparna Bhattacharya; Martin Foltin; Paolo Faraboschi; Kaushik Roy 009; Amit P. Sheth (Frontiers Big Data, 2024)