Vaibhav Saxena

According to our database, Vaibhav Saxena authored at least 24 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Towards Robust Knowledge Representations in Multilingual LLMs for Equivalence and Inheritance based Consistent Reasoning.

Gaurav Arora, Srujana Merugu, Shreya Jain, Vaibhav Saxena

CoRR, 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, Hima Patel, Parameswaran Selvam, Xuan-Hong Dang, Yan Koyfman, Atin Sood, Rogério Feris, Nirmit Desai, David D. Cox, Ruchir Puri, Rameswar Panda

CoRR, 2024

2023

Constrained-Context Conditional Diffusion Models for Imitation Learning.

Vaibhav Saxena, Yotto Koga, Danfei Xu

CoRR, 2023

Generalizable Pose Estimation Using Implicit Scene Representations.

Vaibhav Saxena, Kamal Rahimi Malekshan, Linh Tran, Yotto Koga

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

Volunteer Selection in Collaborative Crowdsourcing with Adaptive Common Working Time Slots.

Riya Samanta, Vaibhav Saxena, Soumya K. Ghosh, Sajal K. Das

Proceedings of the IEEE Global Communications Conference, 2022

2021

Clockwork Variational Autoencoders.

Vaibhav Saxena, Jimmy Ba, Danijar Hafner

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

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, Yogish Sabharwal

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Effective Elastic Scaling of Deep Learning Workloads.

Vaibhav Saxena, K. R. Jayaram, Saurav Basu, Yogish Sabharwal, Ashish Verma

Proceedings of the 28th International Symposium on Modeling, 2020

2019

Dyna-AIL : Adversarial Imitation Learning by Planning.

Vaibhav Saxena, Srinivasan Sivanandan, Pulkit Mathur

CoRR, 2019

2018

LSTM based Music Generation with Dataset Preprocessing and Reconstruction Techniques.

Sarthak Agarwal, Vaibhav Saxena, Vaibhav Singal, Swati Aggarwal

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Balancing Stragglers Against Staleness in Distributed Deep Learning.

Saurav Basu, Vaibhav Saxena, Rintu Panja, Ashish Verma

Proceedings of the 25th IEEE International Conference on High Performance Computing, 2018

Efficient Training of Convolutional Neural Nets on Large Distributed Systems.

Dheeraj Sreedhar, Vaibhav Saxena, Yogish Sabharwal, Ashish Verma, Sameer Kumar

Proceedings of the IEEE International Conference on Cluster Computing, 2018

2017

PowerAI DDL.

Minsik Cho, Ulrich Finkler, Sameer Kumar, David S. Kung, Vaibhav Saxena, Dheeraj Sreedhar

CoRR, 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

Proceedings of the Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems, 2017

Type reduction techniques for two-dimensional interval type-2 fuzzy sets.

Vaibhav Saxena, Nikhil Yadala, Rishav Chourasia, Frank Chung-Hoon Rhee

Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

2015

Architecture Aware Resource Allocation for Structured Grid Applications: Flood Modelling Case.

Vaibhav Saxena, Thomas George, Yogish Sabharwal, Lucas Villa Real

Proceedings of the 15th IEEE/ACM International Symposium on Cluster, 2015

2013

A divide and conquer strategy for scaling weather simulations with multiple regions of interest.

Preeti Malakar, Thomas George, Sameer Kumar, Rashmi Mittal, Vijay Natarajan, Yogish Sabharwal, Vaibhav Saxena, Sathish S. Vadhiyar

Sci. Program., 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

Evaluation and enhancement of weather application performance on Blue Gene/Q.

Gurbinder Singh Gill, Vaibhav Saxena, Rashmi Mittal, Thomas George, Yogish Sabharwal, Lalit Dagar

Proceedings of the 20th Annual International Conference on High Performance Computing, 2013

2012

Performance Evaluation and Optimization of Nested High Resolution Weather Simulations.

Preeti Malakar, Vaibhav Saxena, Thomas George, Rashmi Mittal, Sameer Kumar, Abdul Ghani Naim, Saiful Azmi bin Hj Husain

Proceedings of the Euro-Par 2012 Parallel Processing - 18th International Conference, 2012

2011

Multifrontal Factorization of Sparse SPD Matrices on GPUs.

Thomas George, Vaibhav Saxena, Anshul Gupta, Amik Singh, Anamitra R. Choudhury

Proceedings of the 25th IEEE International Symposium on Parallel and Distributed Processing, 2011

2010

Performance evaluation and optimization of random memory access on multicores with high productivity.

Vaibhav Saxena, Yogish Sabharwal, Pramod Bhatotia

Proceedings of the 2010 International Conference on High Performance Computing, 2010

A Parallel GPU Algorithm for Mutual Information Based 3D Nonrigid Image Registration.

Vaibhav Saxena, Jonathan Rohrer, Leiguang Gong

Proceedings of the Euro-Par 2010 - Parallel Processing, 16th International Euro-Par Conference, Ischia, Italy, August 31, 2010

2008

Optimization of BLAS on the Cell Processor.

Vaibhav Saxena, Prashant Agrawal, Yogish Sabharwal, Vijay K. Garg, Vimitha A. Kuruvilla, John A. Gunnels

Proceedings of the High Performance Computing, 2008