Distributed Community Detection in Dynamic Graphs - (Extended Abstract). - Andrea Clementi; Miriam Di Ianni; Giorgio Gambosi; Emanuele Natale; Riccardo Silvestri (SIROCCO, 2013)

Simple Dynamics for Majority Consensus. - Luca Becchetti; Andrea Clementi; Emanuele Natale; Francesco Pasquale; Riccardo Silvestri; Luca Trevisan 001 (CoRR, 2013)

Bejeweled, Candy Crush and other match-three games are (NP-)hard. - Luciano Gualà; Stefano Leucci 001; Emanuele Natale (CIG, 2014)

Plurality Consensus in the Gossip Model. - Luca Becchetti; Andrea Clementi; Emanuele Natale; Francesco Pasquale; Riccardo Silvestri (SODA, 2015)

Probabilistic Self-Stabilization. - Luca Becchetti; Andrea Clementi; Emanuele Natale; Francesco Pasquale (CoRR, 2015)

Noisy Information Spreading and Plurality Consensus. - Pierre Fraigniaud; Emanuele Natale (CoRR, 2015)

Distributed community detection in dynamic graphs. - Andrea Clementi; Miriam Di Ianni; Giorgio Gambosi; Emanuele Natale; Riccardo Silvestri (Theor. Comput. Sci., 2015)

Large Peg-Army Maneuvers. - Luciano Gualà; Stefano Leucci 001; Emanuele Natale; Roberto Tauraso (FUN, 2016)

On the Voting Time of the Deterministic Majority Process. - Dominik Kaaser; Frederik Mallmann-Trenn; Emanuele Natale (MFCS, 2016)

Brief Announcement: Self-stabilizing Clock Synchronization with 3-bit Messages. - Lucas Boczkowski; Amos Korman; Emanuele Natale (PODC, 2016)

Stabilizing Consensus with Many Opinions. - Luca Becchetti; Andrea Clementi; Emanuele Natale; Francesco Pasquale; Luca Trevisan 001 (SODA, 2016)

Self-Stabilizing Clock Synchronization with 3-bit messages. - Lucas Boczkowski; Amos Korman; Emanuele Natale (CoRR, 2016)

Ignore or Comply?: On Breaking Symmetry in Consensus. - Petra Berenbrink; Andrea Clementi; Robert Elsässer; Peter Kling; Frederik Mallmann-Trenn; Emanuele Natale (PODC, 2017)

Friend or Foe? Population Protocols can perform Community Detection. - Luca Becchetti; Andrea Clementi; Emanuele Natale; Francesco Pasquale; Prasad Raghavendra; Luca Trevisan 001 (CoRR, 2017)

Simple dynamics for plurality consensus. - Luca Becchetti; Andrea Clementi; Emanuele Natale; Francesco Pasquale; Riccardo Silvestri; Luca Trevisan 001 (Distributed Comput., 2017)

On the Computational Power of Simple Dynamics. (Sur la puissance de calcul de le dynamiques simples). - Emanuele Natale (2017)

Pooling or Sampling: Collective Dynamics for Electrical Flow Estimation. - Luca Becchetti; Vincenzo Bonifaci; Emanuele Natale (AAMAS, 2018)

Average Whenever You Meet: Opportunistic Protocols for Community Detection. - Luca Becchetti; Andrea Clementi; Pasin Manurangsi; Emanuele Natale; Francesco Pasquale; Prasad Raghavendra; Luca Trevisan 001 (ESA, 2018)

On the Emergent Behavior of the 2-Choices Dynamics. - Emilio Cruciani; Emanuele Natale; André Nusser; Giacomo Scornavacca (ICTCS, 2018)

Limits for Rumor Spreading in Stochastic Populations. - Lucas Boczkowski; Ofer Feinerman; Amos Korman; Emanuele Natale (ITCS, 2018)

A Tight Analysis of the Parallel Undecided-State Dynamics with Two Colors. - Andrea Clementi; Mohsen Ghaffari 001; Luciano Gualà; Emanuele Natale; Francesco Pasquale; Giacomo Scornavacca (MFCS, 2018)

Consensus Needs Broadcast in Noiseless Models but can be Exponentially Easier in the Presence of Noise. - Andrea Clementi; Luciano Gualà; Emanuele Natale; Francesco Pasquale; Giacomo Scornavacca; Luca Trevisan 001 (CoRR, 2018)

On the Metastability of Quadratic Majority Dynamics on Clustered Graphs and its Biological Implications. - Emilio Cruciani; Emanuele Natale; Giacomo Scornavacca (Bull. EATCS, 2018)

On the Computational Power of Simple Dynamics. - Emanuele Natale (Bull. EATCS, 2018)

Limits on reliable information flows through stochastic populations. - Lucas Boczkowski; Emanuele Natale; Ofer Feinerman; Amos Korman (PLoS Comput. Biol., 2018)

Distributed Community Detection via Metastability of the 2-Choices Dynamics. - Emilio Cruciani; Emanuele Natale; Giacomo Scornavacca (AAAI, 2019)

On the Necessary Memory to Compute the Plurality in Multi-agent Systems. - Emanuele Natale; Iliad Ramezani (CIAC, 2019)

From Distributed Computing to Natural Algorithms and Beyond (text not included). - Emanuele Natale (ICTCS, 2019)

A Comparative Study of Neural Network Compression. - Hossein Baktash; Emanuele Natale; Laurent Viennot (CoRR, 2019)

Self-stabilizing repeated balls-into-bins. - Luca Becchetti; Andrea Clementi; Emanuele Natale; Francesco Pasquale; Gustavo Posta (Distributed Comput., 2019)

Minimizing message size in stochastic communication patterns: fast self-stabilizing protocols with 3 bits. - Lucas Boczkowski; Amos Korman; Emanuele Natale (Distributed Comput., 2019)

Noisy rumor spreading and plurality consensus. - Pierre Fraigniaud; Emanuele Natale (Distributed Comput., 2019)

KADABRA is an ADaptive Algorithm for Betweenness via Random Approximation. - Michele Borassi; Emanuele Natale (ACM J. Exp. Algorithmics, 2019)

Consensus vs Broadcast, with and Without Noise (Extended Abstract). - Andrea Clementi; Luciano Gualà; Emanuele Natale; Francesco Pasquale; Giacomo Scornavacca; Luca Trevisan 001 (ITCS, 2020)

Phase Transition of a Non-linear Opinion Dynamics with Noisy Interactions - (Extended Abstract). - Francesco D'Amore 001; Andrea Clementi; Emanuele Natale (SIROCCO, 2020)

Finding a Bounded-Degree Expander Inside a Dense One. - Luca Becchetti; Andrea Clementi; Emanuele Natale; Francesco Pasquale; Luca Trevisan 001 (SODA, 2020)

On the Search Efficiency of Parallel Lévy Walks on Z2. - Andrea Clementi; Francesco D'Amore 001; George Giakkoupis; Emanuele Natale (CoRR, 2020)

Phase Transition of a Non-Linear Opinion Dynamics with Noisy Interactions. - Francesco D'Amore 001; Andrea Clementi; Emanuele Natale (CoRR, 2020)

Find Your Place: Simple Distributed Algorithms for Community Detection. - Luca Becchetti; Andrea E. F. Clementi; Emanuele Natale; Francesco Pasquale; Luca Trevisan 001 (SIAM J. Comput., 2020)

Consensus Dynamics: An Overview. - Luca Becchetti; Andrea Clementi; Emanuele Natale (SIGACT News, 2020)

Search via Parallel Lévy Walks on Z2. - Andrea Clementi; Francesco D'Amore 001; George Giakkoupis; Emanuele Natale (PODC, 2021)

Phase transition of the 2-Choices dynamics on core-periphery networks. - Emilio Cruciani; Emanuele Natale; André Nusser; Giacomo Scornavacca (Distributed Comput., 2021)

Parallel Load Balancing on constrained client-server topologies. - Andrea Clementi; Emanuele Natale; Isabella Ziccardi (Theor. Comput. Sci., 2021)

Planning with Biological Neurons and Synapses. - Francesco D'Amore 001; Daniel Mitropolsky; Pierluigi Crescenzi; Emanuele Natale; Christos H. Papadimitriou (AAAI, 2022)

Proving the Lottery Ticket Hypothesis for Convolutional Neural Networks. - Arthur da Cunha 001; Emanuele Natale; Laurent Viennot (ICLR, 2022)

On the Multidimensional Random Subset Sum Problem. - Luca Becchetti; Arthur Carvalho Walraven da Cunha; Andrea Clementi; Francesco D'Amore 001; Hicham Lesfari; Emanuele Natale; Luca Trevisan 001 (CoRR, 2022)

Phase transition of a nonlinear opinion dynamics with noisy interactions. - Francesco D'Amore 001; Andrea Clementi; Emanuele Natale (Swarm Intell., 2022)

Revisiting the Random Subset Sum Problem. - Arthur Carvalho Walraven da Cunha; Francesco D'Amore 001; Frédéric Giroire; Hicham Lesfari; Emanuele Natale; Laurent Viennot (ESA, 2023)

Polynomially Over-Parameterized Convolutional Neural Networks Contain Structured Strong Winning Lottery Tickets. - Arthur da Cunha 001; Francesco D'Amore 001; Emanuele Natale (NeurIPS, 2023)

Neural Network Information Leakage Through Hidden Learning. - Arthur Carvalho Walraven da Cunha; Emanuele Natale; Laurent Viennot (OLA, 2023)

On Random Subset Sum and some applications. - Emanuele Natale (2024)

Scheduling with Fully Compressible Tasks: Application to Deep Learning Inference with Neural Network Compression. - Tiago Da Silva Barros; Frédéric Giroire; Ramon Aparicio-Pardo; Stéphane Pérennes; Emanuele Natale (CCGrid, 2024)

On the Sparsity of the Strong Lottery Ticket Hypothesis. - Emanuele Natale; Davide Ferré; Giordano Giambartolomei; Frédéric Giroire; Frederik Mallmann-Trenn (NeurIPS, 2024)

Fast and Robust Information Spreading in the Noisy PULL Model. - Niccolò D'Archivio; Amos Korman; Emanuele Natale; Robin Vacus (CoRR, 2024)

WorldDynamics.jl: A Julia Package for Developing and Simulating Integrated Assessment Models. - Pierluigi Crescenzi; Emanuele Natale; Aurora Rossi; Paulo Bruno S. Serafim (J. Open Source Softw., 2024)

Trading-off Accuracy and Communication Cost in Federated Learning. - Mattia Jacopo Villani; Emanuele Natale; Frederik Mallmann-Trenn (AAMAS, 2025)

Brief Announcement: Fast and Robust Information Spreading in the Noisy PULL Model. - Niccolò D'Archivio; Amos Korman; Emanuele Natale; Robin Vacus (PODC, 2025)

On the h-majority dynamics with many opinions. - Francesco D'Amore 001; Niccolò D'Archivio; George Giakkoupis; Emanuele Natale (CoRR, 2025)

Threshold-Driven Streaming Graph: Expansion and Rumor Spreading. - Flora Angileri; Andrea Clementi; Emanuele Natale; Michele Salvi; Isabella Ziccardi (CoRR, 2025)