A Case for Business Process-Specific Foundation Models
- 2023
- BPM 2023
Praveen Venkateswaran
Overview
Title
Research Staff Member
Location
IBM Research - Cambridge
Cambridge, MA USA
Bio
Praveen is a Research Scientist at the IBM Research Cambridge lab. His current research interests include conversational systems, domain generalization and AI for code. He received his PhD in Computer Science from UC Irvine, and has previously worked on problems across time-series analytics, IoT, and business process automation.
Publications
FedGen: Generalizable Federated Learning for Sequential Data
- Praveen Venkateswaran
- Vatche Isahagian
- et al.
- 2023
- CLOUD 2023
Can You Teach Robotic Process Automation Bots New Tricks?
- 2022
- BPM 2022
Towards Continual Learning in Interactive Digital Assistants for Process Automation
- Praveen Venkateswaran
- Vinod Muthusamy
- et al.
- 2022
- IJCAI 2022
Environment Agnostic Invariant Risk Minimization for Classification of Sequential Datasets
- Praveen Venkateswaran
- Vinod Muthusamy
- et al.
- 2021
- KDD 2021
Top collaborators
YR
Yara Rizk
Research staff member - AI