ML Anthology

Raghunathan, Anand

5 publications

TMLR 2025 LO-BCQ: Locally Optimal Block Clustered Quantization for 4-Bit (W4A4) LLM Inference Reena Elangovan, Charbel Sakr, Anand Raghunathan, Brucek Khailany
CVPRW 2025 SimCache: Similarity Caching for Efficient VLM-Based Scene Understanding Surya Selvam, Ravi K. Rajendran, Murugan Sankaradas, Anand Raghunathan, Srimat T. Chakradhar
ECML-PKDD 2024 Input Compression with Positional Consistency for Efficient Training and Inference of Transformer Neural Networks Amrit Nagarajan, Anand Raghunathan
TMLR 2023 FASTRAIN-GNN: Fast and Accurate Self-Training for Graph Neural Networks Amrit Nagarajan, Anand Raghunathan
ICLR 2020 EMPIR: Ensembles of Mixed Precision Deep Networks for Increased Robustness Against Adversarial Attacks Sanchari Sen, Balaraman Ravindran, Anand Raghunathan