66 citations · 71 across the 13 of their papers we have counts for
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cs.AI2026
Spatial Strategies, Not Actions: Vector-Quantized Geodesics as Tools for LLM-Driven Agents
Gabriel Turinici
Large language model (LLM) based agents are often criticized for lacking spatial understanding and mainly exploiting statistical text patterns. We investigate their spatial compreh…
cs.AI2026
Inferring Missing Trajectory Data with Temporal Convolutional Networks
Ilinca Tiriblecea, Gabriel Turinici
Trajectory data collected in real-world settings is frequently incomplete due to sensor failure, communication loss, or occlusion. We address the task of \emph{trajectory inpaintin…
cs.AI2024
Transformer for Times Series: an Application to the S&P500
Pierre Brugiere, Gabriel Turinici
The transformer models have been extensively used with good results in a wide area of machine learning applications including Large Language Models and image generation. Here, we i…