Dryden, Nikoli

7 publications

NeurIPS 2025 Polar Sparsity: High Throughput Batched LLM Inferencing with Scalable Contextual Sparsity Susav Shrestha, Bradley Settlemyer, Nikoli Dryden, A. L. Narasimha Reddy

WACV 2024 Learning to Compose SuperWeights for Neural Parameter Allocation Search Piotr Teterwak, Soren Nelson, Nikoli Dryden, Dina Bashkirova, Kate Saenko, Bryan A. Plummer

NeurIPS 2022 ENS-10: A Dataset for Post-Processing Ensemble Weather Forecasts Saleh Ashkboos, Langwen Huang, Nikoli Dryden, Tal Ben-Nun, Peter Dueben, Lukas Gianinazzi, Luca Kummer, Torsten Hoefler

LoG 2022 Neural Graph Databases Maciej Besta, Patrick Iff, Florian Scheidl, Kazuki Osawa, Nikoli Dryden, Michal Podstawski, Tiancheng Chen, Torsten Hoefler

ICLR 2022 Neural Parameter Allocation Search Bryan A. Plummer, Nikoli Dryden, Julius Frost, Torsten Hoefler, Kate Saenko

NeurIPS 2022 Spatial Mixture-of-Experts Nikoli Dryden, Torsten Hoefler

JMLR 2021 Sparsity in Deep Learning: Pruning and Growth for Efficient Inference and Training in Neural Networks Torsten Hoefler, Dan Alistarh, Tal Ben-Nun, Nikoli Dryden, Alexandra Peste