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cs.LG2025
Self-Adaptive Graph Mixture of Models
Mohit Meena, Yash Punjabi, Abhishek A +2
Graph Neural Networks (GNNs) have emerged as powerful tools for learning over graph-structured data, yet recent studies have shown that their performance gains are beginning to pla…
cs.LG2025
Adaptive LLM Routing under Budget Constraints
Pranoy Panda, Raghav Magazine, Chaitanya Devaguptapu +2
Large Language Models (LLMs) have revolutionized natural language processing, but their varying capabilities and costs pose challenges in practical applications. LLM routing addres…
cs.LG2021
Towards an Interpretable Latent Space in Structured Models for Video Prediction
Rushil Gupta, Vishal Sharma, Yash Jain +3
We focus on the task of future frame prediction in video governed by underlying physical dynamics. We work with models which are object-centric, i.e., explicitly work with object r…