1 citations · 1 across the 5 of their papers we have counts for
5 papers
Controllable Diversity in Normalization-Based Implicit Ensembles via Softmax-Temperature Modulation
Mihai Suteu, Ovidiu Serban
Deep ensembles provide the most reliable uncertainty estimates in deep learning, but their cost grows linearly with the number of members. Implicit ensembles lower this cost by sha…
Simplifying Multi-Task Architectures Through Task-Specific Normalization
Mihai Suteu, Ovidiu Serban
Multi-task learning (MTL) aims to leverage shared knowledge across tasks to improve generalization and parameter efficiency, yet balancing resources and mitigating interference rem…
An Automated LLM-based Pipeline for Asset-Level Database Creation to Assess Deforestation Impact
Avanija Menon, Ovidiu Serban
The European Union Deforestation Regulation (EUDR) requires companies to prove their products do not contribute to deforestation, creating a critical demand for precise, asset-leve…
A novel approach for predicting epidemiological forecasting parameters based on real-time signals and Data Assimilation
Romain Molinas, César Quilodrán Casas, Rossella Arcucci +1
This paper proposes a novel approach to predict epidemiological parameters by integrating new real-time signals from various sources of information, such as novel social media-base…
Protecting Retail Investors from Order Book Spoofing using a GRU-based Detection Model
Jean-Noël Tuccella, Philip Nadler, Ovidiu Şerban
Market manipulation is tackled through regulation in traditional markets because of its detrimental effect on market efficiency and many participating financial actors. The recent…