Vaibhav Saxena

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 18

Top Topics

Parameter Optimization

Resource Allocation

Membership Functions

Top Venues

Publications

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
Scaling Granite Code Models to 128K Context. CoRR (2024)
Vaibhav Saxena, Kamal Rahimi Malekshan, Linh Tran, Yotto Koga
Generalizable Pose Estimation Using Implicit Scene Representations. ICRA (2023)
Vaibhav Saxena, Yotto Koga, Danfei Xu
Constrained-Context Conditional Diffusion Models for Imitation Learning. CoRR (2023)
Vaibhav Saxena, Kamal Rahimi Malekshan, Linh Tran, Yotto Koga
Generalizable Pose Estimation Using Implicit Scene Representations. CoRR (2023)
Riya Samanta, Vaibhav Saxena, Soumya K. Ghosh, Sajal K. Das
Volunteer Selection in Collaborative Crowdsourcing with Adaptive Common Working Time Slots. GLOBECOM (2022)
Aswin Kannan, Anamitra Roy Choudhury, Vaibhav Saxena, Saurabh Raje, Parikshit Ram, Ashish Verma, Yogish Sabharwal
HyperASPO: Fusion of Model and Hyper Parameter Optimization for Multi-objective Machine Learning. IEEE BigData (2021)
Vaibhav Saxena, Jimmy Ba, Danijar Hafner
Clockwork Variational Autoencoders. NeurIPS (2021)
Vaibhav Saxena, Jimmy Ba, Danijar Hafner
Clockwork Variational Autoencoders. CoRR (2021)
Vaibhav Saxena, K. R. Jayaram, Saurav Basu, Yogish Sabharwal, Ashish Verma
Effective Elastic Scaling of Deep Learning Workloads. CoRR (2020)
Vaibhav Saxena, K. R. Jayaram, Saurav Basu, Yogish Sabharwal, Ashish Verma
Effective Elastic Scaling of Deep Learning Workloads. MASCOTS (2020)
Vaibhav Saxena, Srinivasan Sivanandan, Pulkit Mathur
Dyna-AIL : Adversarial Imitation Learning by Planning. CoRR (2019)
Dheeraj Sreedhar, Vaibhav Saxena, Yogish Sabharwal, Ashish Verma, Sameer Kumar
Efficient Training of Convolutional Neural Nets on Large Distributed Systems. CLUSTER (2018)
Saurav Basu, Vaibhav Saxena, Rintu Panja, Ashish Verma
Balancing Stragglers Against Staleness in Distributed Deep Learning. HiPC (2018)
Sarthak Agarwal, Vaibhav Saxena, Vaibhav Singal, Swati Aggarwal
LSTM based Music Generation with Dataset Preprocessing and Reconstruction Techniques. SSCI (2018)
Rishav Chourasia, Vaibhav Saxena, Nikhil Yadala, Frank Chung-Hoon Rhee
Visualization of two-dimensional interval type-2 fuzzy membership functions using general type-2 fuzzy membership functions. IFSA-SCIS (2017)
Minsik Cho, Ulrich Finkler, Sameer Kumar, David S. Kung, Vaibhav Saxena, Dheeraj Sreedhar
PowerAI DDL. CoRR (2017)
Sameer Kumar, Dheeraj Sreedhar, Vaibhav Saxena, Yogish Sabharwal, Ashish Verma
Efficient Training of Convolutional Neural Nets on Large Distributed Systems. CoRR (2017)
Vaibhav Saxena, Nikhil Yadala, Rishav Chourasia, Frank Chung-Hoon Rhee
Type reduction techniques for two-dimensional interval type-2 fuzzy sets. FUZZ-IEEE (2017)
Vaibhav Saxena, Thomas George, Yogish Sabharwal, Lucas Villa Real
Architecture Aware Resource Allocation for Structured Grid Applications: Flood Modelling Case. CCGRID (2015)
Preeti Malakar, Thomas George, Sameer Kumar, Rashmi Mittal, Vijay Natarajan, Yogish Sabharwal, Vaibhav Saxena, Sathish S. Vadhiyar
A divide and conquer strategy for scaling weather simulations with multiple regions of interest. Sci. Program. 21 (3-4) (2013)
Gurbinder Singh Gill, Vaibhav Saxena, Rashmi Mittal, Thomas George, Yogish Sabharwal, Lalit Dagar
Evaluation and enhancement of weather application performance on Blue Gene/Q. HiPC (2013)
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
Enabling high-resolution forecasting of severe weather and flooding events in Rio de Janeiro. IBM J. Res. Dev. 57 (5) (2013)
Preeti Malakar, Thomas George, Sameer Kumar, Rashmi Mittal, Vijay Natarajan, Yogish Sabharwal, Vaibhav Saxena, Sathish S. Vadhiyar
A divide and conquer strategy for scaling weather simulations with multiple regions of interest. SC (2012)
Preeti Malakar, Vaibhav Saxena, Thomas George, Rashmi Mittal, Sameer Kumar, Abdul Ghani Naim, Saiful Azmi bin Hj Husain
Performance Evaluation and Optimization of Nested High Resolution Weather Simulations. Euro-Par (2012)
Thomas George, Vaibhav Saxena, Anshul Gupta, Amik Singh, Anamitra R. Choudhury
Multifrontal Factorization of Sparse SPD Matrices on GPUs. IPDPS (2011)
Vaibhav Saxena, Jonathan Rohrer, Leiguang Gong
A Parallel GPU Algorithm for Mutual Information Based 3D Nonrigid Image Registration. Euro-Par (2) (2010)
Vaibhav Saxena, Yogish Sabharwal, Pramod Bhatotia
Performance evaluation and optimization of random memory access on multicores with high productivity. HiPC (2010)
Vaibhav Saxena, Prashant Agrawal, Yogish Sabharwal, Vijay K. Garg, Vimitha A. Kuruvilla, John A. Gunnels
Optimization of BLAS on the Cell Processor. HiPC (2008)