3 papers
cs.CV2025
Learning Latent Representations for Image Translation using Frequency Distributed CycleGAN
Shivangi Nigam, Adarsh Prasad Behera, Shekhar Verma +1
This paper presents Fd-CycleGAN, an image-to-image (I2I) translation framework that enhances latent representation learning to approximate real data distributions. Building upon th…
cs.LG2025
Towards Efficient Multi-LLM Inference: Characterization and Analysis of LLM Routing and Hierarchical Techniques
Adarsh Prasad Behera, Jaya Prakash Champati, Roberto Morabito +2
Recent progress in Language Models (LMs) has dramatically advanced the field of natural language processing (NLP), excelling at tasks like text generation, summarization, and quest…
cs.LG2025
Exploring the Boundaries of On-Device Inference: When Tiny Falls Short, Go Hierarchical
Adarsh Prasad Behera, Paulius Daubaris, Iñaki Bravo +4
On-device inference holds great potential for increased energy efficiency, responsiveness, and privacy in edge ML systems. However, due to less capable ML models that can be embedd…