3 papers
cs.LG2026
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…
cs.LG2025
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…
cs.DB2025
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…