Interactive Gibson: A Benchmark for Interactive Navigation in Cluttered Environments. - Fei Xia 002; William B. Shen; Chengshu Li 002; Priya Kasimbeg; Micael Tchapmi; Alexander Toshev; Roberto Martín-Martín; Silvio Savarese (CoRR, 2019)

Interactive Gibson Benchmark: A Benchmark for Interactive Navigation in Cluttered Environments. - Fei Xia 002; William B. Shen; Chengshu Li 002; Priya Kasimbeg; Micael Tchapmi; Alexander Toshev; Roberto Martín-Martín; Silvio Savarese (IEEE Robotics Autom. Lett., 2020)

One-shot learning for solution operators of partial differential equations. - Lu Lu; Haiyang He; Priya Kasimbeg; Rishikesh Ranade; Jay Pathak (CoRR, 2021)

Geometry encoding for numerical simulations. - Amir Maleki; Jan Heyse; Rishikesh Ranade; Haiyang He; Priya Kasimbeg; Jay Pathak (CoRR, 2021)

Benchmarking Neural Network Training Algorithms. - George E. Dahl; Frank Schneider 001; Zachary Nado; Naman Agarwal; Chandramouli Shama Sastry; Philipp Hennig; Sourabh Medapati; Runa Eschenhagen; Priya Kasimbeg; Daniel Suo; Juhan Bae; Justin Gilmer; et al. (CoRR, 2023)

Accelerating neural network training: An analysis of the AlgoPerf competition. - Priya Kasimbeg; Frank Schneider 001; Runa Eschenhagen; Juhan Bae; Chandramouli Shama Sastry; Mark Saroufim; Boyuan Feng; Less Wright; Edward Z. Yang; Zachary Nado; Sourabh Medapati; Philipp Hennig; et al. (ICLR, 2025)

How far away are truly hyperparameter-free learning algorithms? - Priya Kasimbeg; Vincent Roulet; Naman Agarwal; Sourabh Medapati; Fabian Pedregosa; Atish Agarwala; George E. Dahl (Trans. Mach. Learn. Res., 2025)

Training neural networks faster with minimal tuning using pre-computed lists of hyperparameters for NAdamW. - Sourabh Medapati; Priya Kasimbeg; Shankar Krishnan; Naman Agarwal; George E. Dahl (CoRR, 2025)