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Vaibhav Saxena
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2020 – today
- 2023
- [c18]Vaibhav Saxena, Kamal Rahimi Malekshan, Linh Tran, Yotto Koga:
Generalizable Pose Estimation Using Implicit Scene Representations. ICRA 2023: 2869-2875 - [i7]Vaibhav Saxena, Kamal Rahimi Malekshan, Linh Tran, Yotto Koga:
Generalizable Pose Estimation Using Implicit Scene Representations. CoRR abs/2305.17252 (2023) - [i6]Vaibhav Saxena, Yotto Koga, Danfei Xu:
Constrained-Context Conditional Diffusion Models for Imitation Learning. CoRR abs/2311.01419 (2023) - 2022
- [c17]Riya Samanta
, Vaibhav Saxena, Soumya K. Ghosh, Sajal K. Das:
Volunteer Selection in Collaborative Crowdsourcing with Adaptive Common Working Time Slots. GLOBECOM 2022: 4643-4648 - 2021
- [c16]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: 790-800 - [c15]Vaibhav Saxena, Jimmy Ba, Danijar Hafner:
Clockwork Variational Autoencoders. NeurIPS 2021: 29246-29257 - [i5]Vaibhav Saxena, Jimmy Ba, Danijar Hafner:
Clockwork Variational Autoencoders. CoRR abs/2102.09532 (2021) - 2020
- [c14]Vaibhav Saxena, K. R. Jayaram, Saurav Basu, Yogish Sabharwal, Ashish Verma:
Effective Elastic Scaling of Deep Learning Workloads. MASCOTS 2020: 1-8 - [i4]Vaibhav Saxena, K. R. Jayaram, Saurav Basu, Yogish Sabharwal, Ashish Verma:
Effective Elastic Scaling of Deep Learning Workloads. CoRR abs/2006.13878 (2020)
2010 – 2019
- 2019
- [i3]Vaibhav Saxena, Srinivasan Sivanandan
, Pulkit Mathur:
Dyna-AIL : Adversarial Imitation Learning by Planning. CoRR abs/1903.03234 (2019) - 2018
- [c13]Dheeraj Sreedhar, Vaibhav Saxena, Yogish Sabharwal, Ashish Verma, Sameer Kumar:
Efficient Training of Convolutional Neural Nets on Large Distributed Systems. CLUSTER 2018: 392-401 - [c12]Saurav Basu, Vaibhav Saxena, Rintu Panja, Ashish Verma:
Balancing Stragglers Against Staleness in Distributed Deep Learning. HiPC 2018: 12-21 - [c11]Sarthak Agarwal, Vaibhav Saxena, Vaibhav Singal, Swati Aggarwal
:
LSTM based Music Generation with Dataset Preprocessing and Reconstruction Techniques. SSCI 2018: 455-462 - 2017
- [c10]Vaibhav Saxena, Nikhil Yadala, Rishav Chourasia, Frank Chung-Hoon Rhee:
Type reduction techniques for two-dimensional interval type-2 fuzzy sets. FUZZ-IEEE 2017: 1-6 - [c9]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: 1-5 - [i2]Minsik Cho, Ulrich Finkler, Sameer Kumar, David S. Kung, Vaibhav Saxena, Dheeraj Sreedhar:
PowerAI DDL. CoRR abs/1708.02188 (2017) - [i1]Sameer Kumar, Dheeraj Sreedhar, Vaibhav Saxena, Yogish Sabharwal, Ashish Verma:
Efficient Training of Convolutional Neural Nets on Large Distributed Systems. CoRR abs/1711.00705 (2017) - 2015
- [c8]Vaibhav Saxena, Thomas George, Yogish Sabharwal, Lucas Villa Real:
Architecture Aware Resource Allocation for Structured Grid Applications: Flood Modelling Case. CCGRID 2015: 555-564 - 2013
- [j2]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) - [j1]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): 93-107 (2013) - [c7]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: 324-332 - 2012
- [c6]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: 805-817 - [c5]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: 37 - 2011
- [c4]Thomas George, Vaibhav Saxena, Anshul Gupta, Amik Singh, Anamitra R. Choudhury:
Multifrontal Factorization of Sparse SPD Matrices on GPUs. IPDPS 2011: 372-383 - 2010
- [c3]Vaibhav Saxena, Jonathan Rohrer, Leiguang Gong:
A Parallel GPU Algorithm for Mutual Information Based 3D Nonrigid Image Registration. Euro-Par (2) 2010: 223-234 - [c2]Vaibhav Saxena, Yogish Sabharwal, Pramod Bhatotia:
Performance evaluation and optimization of random memory access on multicores with high productivity. HiPC 2010: 1-10
2000 – 2009
- 2008
- [c1]Vaibhav Saxena, Prashant Agrawal, Yogish Sabharwal, Vijay K. Garg, Vimitha A. Kuruvilla, John A. Gunnels:
Optimization of BLAS on the Cell Processor. HiPC 2008: 18-29
Coauthor Index
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