Debanshu Das

According to our database, Debanshu Das authored at least 11 papers between 2024 and 2026.

Collaborative distances:

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

2026

Assessing the Operational Viability of Foundation Models for Time Series Forecasting.

Kavin Soni, Debanshu Das, Vamshi Guduguntla

CoRR, May, 2026

Croissant Baker: Metadata Generation for Discoverable, Governable, and Reusable ML Datasets.

Rafi Al Attrach, Rajna Fani, Sebastian Lobentanzer, Joan Giner-Miguelez, Debanshu Das, Varuni H. K., Nobin Sarwar, Rajat Ghosh, Anwai Archit, Surbhi Motghare, Christina Conrad Parry, Luis Oala, Lara Grosso, Joaquin Vanschoren, Steffen Vogler, Sujata S. Goswami, Eric S. Rosenthal, Marzyeh Ghassemi, Matthew B. A. McDermott, Tom J. Pollard

CoRR, May, 2026

Agentic AI for Personalized Physiotherapy: A Multi-Agent Framework for Generative Video Training and Real-Time Pose Correction.

Abhishek Dharmaratnakar, Srivaths Ranganathan, Anushree Sinha, Debanshu Das

CoRR, April, 2026

Beyond Fluency: Toward Reliable Trajectories in Agentic IR.

Anushree Sinha, Srivaths Ranganathan, Debanshu Das, Abhishek Dharmaratnakar

CoRR, April, 2026

VALOR: Value-Aware Revenue Uplift Modeling with Treatment-Gated Representation for B2B Sales.

Vamshi Guduguntla, Kavin Soni, Debanshu Das

CoRR, April, 2026

Generative AI and Digital Ecosystem Resilience: A Proactive Lifecycle-Based Survey.

Jonghyun Chung, Rishabh Chaddha, Amanpreet Kaur, Debanshu Das, Sanket Badhe, Nathan Huang

IEEE Access, 2026

Multi-Agent Video Recommenders: Evolution, Patterns, and Open Challenges.

Srivaths Ranganathan, Abhishek Dharmaratnakar, Anushree Sinha, Debanshu Das

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

Generative AI for Video Trailer Synthesis: From Extractive Heuristics to Autoregressive Creativity.

Abhishek Dharmaratnakar, Srivaths Ranganathan, Debanshu Das, Anushree Sinha

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

Genflow Ad Studio: A Compound AI Architecture for Brand-Aligned, Self-Correcting Video Generation.

Debanshu Das, Lavi Nigam, Sunil Kumar Jang Bahadur, Gopala Dhar

Proceedings of the ACM Conference on AI and Agentic Systems, 2026

2024

PALM: A framework to identify novel attacks in an e-commerce system.

Rajesh Kumar, Swapnil Pandey, Debanshu Das

Proceedings of the 29th IEEE Pacific Rim International Symposium on Dependable Computing, 2024

Simulating Cyber-Attack Scenarios by Discovering Petri-Nets from Large-Scale Event Logs.

Mohit Dilip Makwana, Vedant Thakkar, Debanshu Das, Rajesh Kumar

Proceedings of the 16th International Conference on COMmunication Systems & NETworkS, 2024