669 citations · 1.8k across the 68 of their papers we have counts for
5 papers · 1 filter
pi-Net: Empirical Latent Representations for Differentiable Physics Heads in Data-Scarce Systems
Akshay Dhalpe, Arnab Chattopadhyay, Shahriar Bakrani Balani +2
Developing reliable predictive models for multi-physics systems often forces a compromise between computationally demanding physical simulators and data-hungry, opaque machine lear…
The Behavioral Credibility Trilemma: When Calibrated Autonomy Becomes Impossible
Lauri Lovén, Nam Do, Hassan Mehmood +2
We prove that no reinforcement learning policy with confidence-gated autonomy can simultaneously achieve maximum helpfulness, optimal calibration, and full autonomy under rational…
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…
Sometimes Painful but Certainly Promising: Feasibility and Trade-offs of Language Model Inference at the Edge
Maximilian Abstreiter, Sasu Tarkoma, Roberto Morabito
The rapid rise of Language Models (LMs) has expanded the capabilities of natural language processing, powering applications from text generation to complex decision-making. While s…
Federated Split GANs
Pranvera Kortoçi, Yilei Liang, Pengyuan Zhou +5
Mobile devices and the immense amount and variety of data they generate are key enablers of machine learning (ML)-based applications. Traditional ML techniques have shifted toward…