Davide Sartor — accepted AI-conference papers

2025

Advancing Constrained Monotonic Neural Networks: Achieving Universal Approximation Beyond Bounded Activations

Davide Sartor, Alberto Sinigaglia, Gian Antonio Susto

ICML 2025poster

Imposing input-output constraints in multi-layer perceptrons (MLPs) plays a pivotal role in many real world applications. Monotonicity in particular is a common requirement in applications that need transparent and robust machine learning models. Conventional techniques for imposing monotonicity in…

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2025

Simple and Effective Specialized Representations for Fair Classifiers

Alberto Sinigaglia, Davide Sartor, Marina Ceccon, Gian Antonio Susto

NeurIPS 2025poster

Fair classification is a critical challenge that has gained increasing importance due to international regulations and its growing use in high-stakes decision-making settings. Existing methods often rely on adversarial learning or distribution matching across sensitive groups; however, adversarial l…

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