output
20032026
most citedLSTM: A Search Space Odyssey

7.1k citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2026Show all

6 papers · 1 filter

cs.SI2026★ 2 cited

Predicting, Evaluating, and Explaining Top Misinformation Spreaders via Archetypal User Behavior

Enrico Verdolotti, Luca Luceri, Silvia Giordano

The spread of misinformation on social networks poses a significant challenge to online communities and society at large. Not all users contribute equally to this phenomenon: a sma…

eess.IV2026

Thinking Fast, Thinking Slow: Adaptive Multimodal Transformer-based Sensor Fusion for Depth Estimation on Ultra-low-power MCUs

Luca Crupi, Lorenzo Lamberti, Giovanni Badaracco +3

Artificial intelligence (AI)-based multimodal sensor fusion is a relevant topic gaining ever more traction across ultra-low-power (ULP) embedded and cyber-physical systems, as it i…

eess.IV2026★ 31 cited

Improving Autonomous Nano-drones Performance via Automated End-to-End Optimization and Deployment of DNNs

Vlad Niculescu, Lorenzo Lamberti, Francesco Conti +2

The evolution of energy-efficient ultra-low-power (ULP) parallel processors and the diffusion of convolutional neural networks (CNNs) are fueling the advent of autonomous driving n…

cs.LG2026★ 2 cited

Policy-driven Conformal Prediction for Trustworthy QoT Estimation

Kiarash Rezaei, Omran Ayoub, Paolo Monti +1

We propose Conformal QoT, a policy-driven framework that combines statistically guaranteed QoT estimation with operational decision policies, enabling reliable lightpath-feasibilit…

cs.NI2026★ 1 cited

Generative Explainability for Next-Generation Networks: LLM-Augmented XAI with Mutual Feature Interactions

Kiarash Rezaei, Omran Ayoub, Sebastian Troia +3

As artificial intelligence and machine learning (AI/ML) models become integral to network operations, their lack of transparency poses a significant barrier to operator trust. Exis…

q-bio.QM2026

FPLIER: Federated Pathway-Level Information Extractor

Daniele Malpetti, Christian Berchtold, Francesco Gualdi +3

In transcriptomics, gene-set-aware factorization methods such as the Pathway Level Information Extractor (PLIER) are most effective when trained on large, heterogeneous expression…