Ravdeep Pasricha

According to our database, Ravdeep Pasricha authored at least 9 papers between 2018 and 2024.

Collaborative distances:

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

2024

A case study of Generative AI in MSX Sales Copilot: Improving seller productivity with a real-time question-answering system for content recommendation.

Manpreet Singh, Ravdeep Pasricha, Nitish Singh, Ravi Prasad Kondapalli, Manoj R, Kiran Rama, Laurent Boué

CoRR, 2024

2023

Harvester: Principled Factorization-based Temporal Tensor Granularity Estimation.

Ravdeep S. Pasricha, Uday Singh Saini, Nicholas D. Sidiropoulos, Fei Fang, Kevin Chan, Evangelos E. Papalexakis

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

2022

Adaptive granularity in tensors: A quest for interpretable structure.

Ravdeep S. Pasricha, Ekta Gujral, Evangelos E. Papalexakis

Frontiers Big Data, 2022

2020

Beyond Rank-1: Discovering Rich Community Structure in Multi-Aspect Graphs.

Ekta Gujral, Ravdeep Pasricha, Evangelos E. Papalexakis

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Tensorized Feature Spaces for Feature Explosion.

Ravdeep S. Pasricha, Pravallika Devineni, Evangelos E. Papalexakis, Ramakrishnan Kannan

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Webly Supervised Image-Text Embedding with Noisy Tag Refinement.

Niluthpol Chowdhury Mithun, Ravdeep Pasricha, Evangelos E. Papalexakis, Amit K. Roy-Chowdhury

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

OCTEN: Online Compression-Based Tensor Decomposition.

Ekta Gujral, Ravdeep Pasricha, Tianxiong Yang, Evangelos E. Papalexakis

Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

2018

SamBaTen: Sampling-based Batch Incremental Tensor Decomposition.

Ekta Gujral, Ravdeep Pasricha, Evangelos E. Papalexakis

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Identifying and Alleviating Concept Drift in Streaming Tensor Decomposition.

Ravdeep Pasricha, Ekta Gujral, Evangelos E. Papalexakis

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018