Optimization of BLAS on the Cell Processor. - Vaibhav Saxena; Prashant Agrawal; Yogish Sabharwal; Vijay K. Garg; Vimitha A. Kuruvilla; John A. Gunnels (HiPC, 2008)

A Parallel GPU Algorithm for Mutual Information Based 3D Nonrigid Image Registration. - Vaibhav Saxena; Jonathan Rohrer; Leiguang Gong (Euro-Par (2), 2010)

Performance evaluation and optimization of random memory access on multicores with high productivity. - Vaibhav Saxena; Yogish Sabharwal; Pramod Bhatotia (HiPC, 2010)

Multifrontal Factorization of Sparse SPD Matrices on GPUs. - Thomas George; Vaibhav Saxena; Anshul Gupta; Amik Singh; Anamitra R. Choudhury (IPDPS, 2011)

Performance Evaluation and Optimization of Nested High Resolution Weather Simulations. - Preeti Malakar; Vaibhav Saxena; Thomas George; Rashmi Mittal; Sameer Kumar 001; Abdul Ghani Naim; Saiful Azmi bin Hj Husain (Euro-Par, 2012)

Evaluation and enhancement of weather application performance on Blue Gene/Q. - Gurbinder Singh Gill; Vaibhav Saxena; Rashmi Mittal; Thomas George; Yogish Sabharwal; Lalit Dagar (HiPC, 2013)

Enabling high-resolution forecasting of severe weather and flooding events in Rio de Janeiro. - Lloyd A. Treinish; Anthony Praino; James P. Cipriani; Ulisses T. Mello; Kiran Mantripragada; Lucas Villa Real; Paula A. Sesini; Vaibhav Saxena; Thomas George; Rashmi Mittal (IBM J. Res. Dev., 2013)

A divide and conquer strategy for scaling weather simulations with multiple regions of interest. - Preeti Malakar; Thomas George; Sameer Kumar 001; Rashmi Mittal; Vijay Natarajan; Yogish Sabharwal; Vaibhav Saxena; Sathish S. Vadhiyar (Sci. Program., 2013)

Architecture Aware Resource Allocation for Structured Grid Applications: Flood Modelling Case. - Vaibhav Saxena; Thomas George; Yogish Sabharwal; Lucas Villa Real (CCGRID, 2015)

Type reduction techniques for two-dimensional interval type-2 fuzzy sets. - Vaibhav Saxena; Nikhil Yadala; Rishav Chourasia; Frank Chung-Hoon Rhee (FUZZ-IEEE, 2017)

Visualization of two-dimensional interval type-2 fuzzy membership functions using general type-2 fuzzy membership functions. - Rishav Chourasia; Vaibhav Saxena; Nikhil Yadala; Frank Chung-Hoon Rhee (IFSA-SCIS, 2017)

PowerAI DDL. - Minsik Cho; Ulrich Finkler; Sameer Kumar 001; David S. Kung 001; Vaibhav Saxena; Dheeraj Sreedhar (CoRR, 2017)

Efficient Training of Convolutional Neural Nets on Large Distributed Systems. - Dheeraj Sreedhar; Vaibhav Saxena; Yogish Sabharwal; Ashish Verma 001; Sameer Kumar 001 (CLUSTER, 2018)

Balancing Stragglers Against Staleness in Distributed Deep Learning. - Saurav Basu; Vaibhav Saxena; Rintu Panja; Ashish Verma 001 (HiPC, 2018)

LSTM based Music Generation with Dataset Preprocessing and Reconstruction Techniques. - Sarthak Agarwal; Vaibhav Saxena; Vaibhav Singal; Swati Aggarwal (SSCI, 2018)

Dyna-AIL : Adversarial Imitation Learning by Planning. - Vaibhav Saxena; Srinivasan Sivanandan; Pulkit Mathur (CoRR, 2019)

Effective Elastic Scaling of Deep Learning Workloads. - Vaibhav Saxena; K. R. Jayaram; Saurav Basu; Yogish Sabharwal; Ashish Verma 001 (MASCOTS, 2020)

HyperASPO: Fusion of Model and Hyper Parameter Optimization for Multi-objective Machine Learning. - Aswin Kannan; Anamitra Roy Choudhury; Vaibhav Saxena; Saurabh Raje; Parikshit Ram; Ashish Verma 001; Yogish Sabharwal (IEEE BigData, 2021)

Clockwork Variational Autoencoders. - Vaibhav Saxena; Jimmy Ba; Danijar Hafner (NeurIPS, 2021)

Volunteer Selection in Collaborative Crowdsourcing with Adaptive Common Working Time Slots. - Riya Samanta; Vaibhav Saxena; Soumya K. Ghosh 001; Sajal K. Das 001 (GLOBECOM, 2022)

Generalizable Pose Estimation Using Implicit Scene Representations. - Vaibhav Saxena; Kamal Rahimi Malekshan; Linh Tran; Yotto Koga (ICRA, 2023)

Constrained-Context Conditional Diffusion Models for Imitation Learning. - Vaibhav Saxena; Yotto Koga; Danfei Xu (CoRR, 2023)

MimicTouch: Leveraging Multi-modal Human Tactile Demonstrations for Contact-rich Manipulation. - Kelin Yu; Yunhai Han; Qixian Wang; Vaibhav Saxena; Danfei Xu; Ye Zhao 002 (CoRL, 2024)

Scaling Granite Code Models to 128K Context. - Matt Stallone; Vaibhav Saxena; Leonid Karlinsky; Bridget McGinn; Tim Bula; Mayank Mishra; Adriana Meza Soria; Gaoyuan Zhang; Aditya Prasad; Yikang Shen; Saptha Surendran; Shanmukha C. Guttula; et al. (CoRR, 2024)

C3DM: Constrained-Context Conditional Diffusion Models for Imitation Learning. - Vaibhav Saxena; Yotto Koga; Danfei Xu (Trans. Mach. Learn. Res., 2024)

What Matters in Learning from Large-Scale Datasets for Robot Manipulation. - Vaibhav Saxena; Matthew Bronars; Nadun Ranawaka Arachchige; Kuancheng Wang; Woo-Chul Shin; Soroush Nasiriany; Ajay Mandlekar; Danfei Xu (ICLR, 2025)

Towards Robust Knowledge Representations in Multilingual LLMs for Equivalence and Inheritance based Consistent Reasoning. - Gaurav Arora; Srujana Merugu; Shreya Jain; Vaibhav Saxena (NAACL (Long Papers), 2025)