37 citations · 43 across the 4 of their papers we have counts for
4 papers
Differentiable Clone-Structured Causal Graphs for End-to-End Cognitive Map Learning from Image Sequences
Arash Nikzad, Sasan Sarbishegi, Ali Dasmeh +8
How can an agent build a structured map of its world from nothing but an ongoing sequence of raw sensory input and its own movements, especially when natural variation means exact…
Sustainable LLM Inference for Edge AI: Evaluating Quantized LLMs for Energy Efficiency, Output Accuracy, and Inference Latency
Erik Johannes Husom, Arda Goknil, Merve Astekin +5
Deploying Large Language Models (LLMs) on edge devices presents significant challenges due to computational constraints, memory limitations, inference speed, and energy consumption…
The Price of Prompting: Profiling Energy Use in Large Language Models Inference
Erik Johannes Husom, Arda Goknil, Lwin Khin Shar +1
In the rapidly evolving realm of artificial intelligence, deploying large language models (LLMs) poses increasingly pressing computational and environmental challenges. This paper…
Industry-academia research collaboration and knowledge co-creation: Patterns and anti-patterns
Dusica Marijan, Sagar Sen
Increasing the impact of software engineering research in the software industry and the society at large has long been a concern of high priority for the software engineering commu…