Emanuele Natale

96 papers A* 15A 10B 9C 1Misc 1Journal 54Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BRAVA-GNN: Betweenness Ranking Approximation Via Degree MAss Inspired Graph Neural Network. CoRR Justin Dachille, Aurora Rossi, Sunil Kumar Maurya, Frederik Mallmann-Trenn, Xin Liu, Frédéric Giroire, Tsuyoshi Murata, Emanuele Natale
2026	J	`jnl`	Intermittent Cauchy walks enable optimal 3D search across target shapes and sizes. CoRR Matteo Stromieri, Emanuele Natale, Amos Korman
2026	J	`jnl`	Structured vs. Unstructured Pruning: An Exponential Gap. CoRR Davide Ferré, Frédéric Giroire, Frederik Mallmann-Trenn, Emanuele Natale
2026	A	`conf`	Threshold-Driven Streaming Graph: Expansion and Rumor Spreading. STACS Flora Angileri, Andrea Clementi, Emanuele Natale, Michele Salvi, Isabella Ziccardi
2025	A*	`conf`	Brief Announcement: Fast and Robust Information Spreading in the Noisy PULL Model. PODC Niccolò D'Archivio, Amos Korman, Emanuele Natale, Robin Vacus
2025	J	`jnl`	On the CoRR Francesco d'Amore, Niccolò D'Archivio, George Giakkoupis, Emanuele Natale
2025	A	`conf`	On the h-Majority Dynamics with Many Opinions. DISC Francesco d'Amore, Niccolò D'Archivio, George Giakkoupis, Emanuele Natale
2025	J	`jnl`	Quantization vs Pruning: Insights from the Strong Lottery Ticket Hypothesis. CoRR Aakash Kumar, Emanuele Natale
2025	J	`jnl`	Threshold-Driven Streaming Graph: Expansion and Rumor Spreading. CoRR Flora Angileri, Andrea Clementi, Emanuele Natale, Michele Salvi, Isabella Ziccardi
2025	A	`conf`	Trading-off Accuracy and Communication Cost in Federated Learning. AAMAS Mattia Jacopo Villani, Emanuele Natale, Frederik Mallmann-Trenn
2025	J	`jnl`	Trading-off Accuracy and Communication Cost in Federated Learning. CoRR Mattia Jacopo Villani, Emanuele Natale, Frederik Mallmann-Trenn
2024	J	`jnl`	Fast and Robust Information Spreading in the Noisy PULL Model. CoRR Niccolò D'Archivio, Amos Korman, Emanuele Natale, Robin Vacus
2024	—	`book`	On Random Subset Sum and some applications. Emanuele Natale
2024	A*	`conf`	On the Sparsity of the Strong Lottery Ticket Hypothesis. NeurIPS Emanuele Natale, Davide Ferré, Giordano Giambartolomei, Frédéric Giroire, Frederik Mallmann-Trenn
2024	J	`jnl`	On the Sparsity of the Strong Lottery Ticket Hypothesis. CoRR Emanuele Natale, Davide Ferré, Giordano Giambartolomei, Frédéric Giroire, Frederik Mallmann-Trenn
2024	B	`conf`	Scheduling with Fully Compressible Tasks: Application to Deep Learning Inference with Neural Network Compression. CCGrid Tiago Da Silva Barros, Frédéric Giroire, Ramon Aparicio-Pardo, Stéphane Pérennes, Emanuele Natale
2024	J	`jnl`	WorldDynamics.jl: A Julia Package for Developing and Simulating Integrated Assessment Models. J. Open Source Softw. Pierluigi Crescenzi, Emanuele Natale, Aurora Rossi, Paulo Bruno S. Serafim
2023	—	`conf`	Neural Network Information Leakage Through Hidden Learning. OLA Arthur Carvalho Walraven da Cunha, Emanuele Natale, Laurent Viennot
2023	A*	`conf`	Polynomially Over-Parameterized Convolutional Neural Networks Contain Structured Strong Winning Lottery Tickets. NeurIPS Arthur da Cunha, Francesco d'Amore, Emanuele Natale
2023	J	`jnl`	Polynomially Over-Parameterized Convolutional Neural Networks Contain Structured Strong Winning Lottery Tickets. CoRR Arthur da Cunha, Francesco d'Amore, Emanuele Natale
2023	A	`conf`	Revisiting the Random Subset Sum Problem. ESA Arthur Carvalho Walraven da Cunha, Francesco d'Amore, Frédéric Giroire, Hicham Lesfari, Emanuele Natale, Laurent Viennot
2022	J	`jnl`	On the Multidimensional Random Subset Sum Problem. CoRR Luca Becchetti, Arthur Carvalho Walraven da Cunha, Andrea Clementi, Francesco d'Amore, Hicham Lesfari, Emanuele Natale, Luca Trevisan
2022	J	`jnl`	Phase transition of a nonlinear opinion dynamics with noisy interactions. Swarm Intell. Francesco d'Amore, Andrea Clementi, Emanuele Natale
2022	A*	`conf`	Planning with Biological Neurons and Synapses. AAAI Francesco d'Amore, Daniel Mitropolsky, Pierluigi Crescenzi, Emanuele Natale, Christos H. Papadimitriou
2022	A*	`conf`	Proving the Lottery Ticket Hypothesis for Convolutional Neural Networks. ICLR Arthur da Cunha, Emanuele Natale, Laurent Viennot
2021	B	`ed.`	19th International Symposium on Experimental Algorithms, SEA 2021, Nice, France, June 7-9, 2021 SEA David Coudert, Emanuele Natale
2021	J	`jnl`	Parallel Load Balancing on constrained client-server topologies. Theor. Comput. Sci. Andrea Clementi, Emanuele Natale, Isabella Ziccardi
2021	J	`jnl`	Phase transition of the 2-Choices dynamics on core-periphery networks. Distributed Comput. Emilio Cruciani, Emanuele Natale, André Nusser, Giacomo Scornavacca
2021	J	`jnl`	Planning with Biological Neurons and Synapses. CoRR Francesco d'Amore, Daniel Mitropolsky, Pierluigi Crescenzi, Emanuele Natale, Christos H. Papadimitriou
2021	A*	`conf`	Search via Parallel Lévy Walks on Z2. PODC Andrea Clementi, Francesco d'Amore, George Giakkoupis, Emanuele Natale
2020	J	`jnl`	Consensus Dynamics: An Overview. SIGACT News Luca Becchetti, Andrea Clementi, Emanuele Natale
2020	A	`conf`	Consensus vs Broadcast, with and Without Noise (Extended Abstract). ITCS Andrea Clementi, Luciano Gualà, Emanuele Natale, Francesco Pasquale, Giacomo Scornavacca, Luca Trevisan
2020	J	`jnl`	Find Your Place: Simple Distributed Algorithms for Community Detection. SIAM J. Comput. Luca Becchetti, Andrea E. F. Clementi, Emanuele Natale, Francesco Pasquale, Luca Trevisan
2020	A*	`conf`	Finding a Bounded-Degree Expander Inside a Dense One. SODA Luca Becchetti, Andrea Clementi, Emanuele Natale, Francesco Pasquale, Luca Trevisan
2020	J	`jnl`	On the Search Efficiency of Parallel Lévy Walks on Z CoRR Andrea Clementi, Francesco d'Amore, George Giakkoupis, Emanuele Natale
2020	B	`conf`	Parallel Load Balancing on Constrained Client-Server Topologies. SPAA Andrea Clementi, Emanuele Natale, Isabella Ziccardi
2020	J	`jnl`	Parallel Load Balancing on Constrained Client-Server Topologies. CoRR Andrea Clementi, Emanuele Natale, Isabella Ziccardi
2020	J	`jnl`	Phase Transition of a Non-Linear Opinion Dynamics with Noisy Interactions. CoRR Francesco d'Amore, Andrea Clementi, Emanuele Natale
2020	B	`conf`	Phase Transition of a Non-linear Opinion Dynamics with Noisy Interactions - (Extended Abstract). SIROCCO Francesco d'Amore, Andrea Clementi, Emanuele Natale
2019	J	`jnl`	A Comparative Study of Neural Network Compression. CoRR Hossein Baktash, Emanuele Natale, Laurent Viennot
2019	A*	`conf`	Distributed Community Detection via Metastability of the 2-Choices Dynamics. AAAI Emilio Cruciani, Emanuele Natale, Giacomo Scornavacca
2019	—	`conf`	From Distributed Computing to Natural Algorithms and Beyond (text not included). ICTCS Emanuele Natale
2019	J	`jnl`	KADABRA is an ADaptive Algorithm for Betweenness via Random Approximation. ACM J. Exp. Algorithmics Michele Borassi, Emanuele Natale
2019	J	`jnl`	Minimizing message size in stochastic communication patterns: fast self-stabilizing protocols with 3 bits. Distributed Comput. Lucas Boczkowski, Amos Korman, Emanuele Natale
2019	J	`jnl`	Noisy rumor spreading and plurality consensus. Distributed Comput. Pierre Fraigniaud, Emanuele Natale
2019	J	`jnl`	On the Necessary Memory to Compute the Plurality in Multi-Agent Systems. CoRR Emanuele Natale, Iliad Ramezani
2019	C	`conf`	On the Necessary Memory to Compute the Plurality in Multi-agent Systems. CIAC Emanuele Natale, Iliad Ramezani
2019	J	`jnl`	Self-stabilizing repeated balls-into-bins. Distributed Comput. Luca Becchetti, Andrea Clementi, Emanuele Natale, Francesco Pasquale, Gustavo Posta
2018	B	`conf`	A Tight Analysis of the Parallel Undecided-State Dynamics with Two Colors. MFCS Andrea Clementi, Mohsen Ghaffari, Luciano Gualà, Emanuele Natale, Francesco Pasquale, Giacomo Scornavacca
2018	A	`conf`	Average Whenever You Meet: Opportunistic Protocols for Community Detection. ESA Luca Becchetti, Andrea Clementi, Pasin Manurangsi, Emanuele Natale, Francesco Pasquale, Prasad Raghavendra, Luca Trevisan
2018	J	`jnl`	Consensus Needs Broadcast in Noiseless Models but can be Exponentially Easier in the Presence of Noise. CoRR Andrea Clementi, Luciano Gualà, Emanuele Natale, Francesco Pasquale, Giacomo Scornavacca, Luca Trevisan
2018	J	`jnl`	Finding a Bounded-Degree Expander Inside a Dense One. CoRR Luca Becchetti, Andrea Clementi, Emanuele Natale, Francesco Pasquale, Luca Trevisan
2018	A	`conf`	Limits for Rumor Spreading in Stochastic Populations. ITCS Lucas Boczkowski, Ofer Feinerman, Amos Korman, Emanuele Natale
2018	J	`jnl`	Limits on reliable information flows through stochastic populations. PLoS Comput. Biol. Lucas Boczkowski, Emanuele Natale, Ofer Feinerman, Amos Korman
2018	J	`jnl`	On the Computational Power of Simple Dynamics. Bull. EATCS Emanuele Natale
2018	—	`conf`	On the Emergent Behavior of the 2-Choices Dynamics. ICTCS Emilio Cruciani, Emanuele Natale, André Nusser, Giacomo Scornavacca
2018	J	`jnl`	On the Metastability of Quadratic Majority Dynamics on Clustered Graphs and its Biological Implications. CoRR Emilio Cruciani, Emanuele Natale, Giacomo Scornavacca
2018	J	`jnl`	On the Metastability of Quadratic Majority Dynamics on Clustered Graphs and its Biological Implications. Bull. EATCS Emilio Cruciani, Emanuele Natale, Giacomo Scornavacca
2018	A	`conf`	Phase Transition of the 2-Choices Dynamics on Core-Periphery Networks. AAMAS Emilio Cruciani, Emanuele Natale, André Nusser, Giacomo Scornavacca
2018	J	`jnl`	Phase Transition of the 2-Choices Dynamics on Core-Periphery Networks. CoRR Emilio Cruciani, Emanuele Natale, André Nusser, Giacomo Scornavacca
2018	J	`jnl`	Phase Transition of the 2-Choices Dynamics on Core-Periphery Networks. Bull. EATCS Emilio Cruciani, Emanuele Natale, André Nusser, Giacomo Scornavacca
2018	A	`conf`	Pooling or Sampling: Collective Dynamics for Electrical Flow Estimation. AAMAS Luca Becchetti, Vincenzo Bonifaci, Emanuele Natale
2018	J	`jnl`	Pooling or Sampling: Collective Dynamics for Electrical Flow Estimation. CoRR Luca Becchetti, Vincenzo Bonifaci, Emanuele Natale
2017	A*	`conf`	Find Your Place: Simple Distributed Algorithms for Community Detection. SODA Luca Becchetti, Andrea Clementi, Emanuele Natale, Francesco Pasquale, Luca Trevisan
2017	J	`jnl`	Friend or Foe? Population Protocols can perform Community Detection. CoRR Luca Becchetti, Andrea Clementi, Emanuele Natale, Francesco Pasquale, Prasad Raghavendra, Luca Trevisan
2017	J	`jnl`	Ignore or Comply? On Breaking Symmetry in Consensus. CoRR Petra Berenbrink, Andrea Clementi, Robert Elsässer, Peter Kling, Frederik Mallmann-Trenn, Emanuele Natale
2017	A*	`conf`	Ignore or Comply?: On Breaking Symmetry in Consensus. PODC Petra Berenbrink, Andrea Clementi, Robert Elsässer, Peter Kling, Frederik Mallmann-Trenn, Emanuele Natale
2017	J	`jnl`	Limits for Rumor Spreading in stochastic populations. CoRR Lucas Boczkowski, Ofer Feinerman, Amos Korman, Emanuele Natale
2017	A*	`conf`	Minimizing Message Size in Stochastic Communication Patterns: Fast Self-Stabilizing Protocols with 3 bits. SODA Lucas Boczkowski, Amos Korman, Emanuele Natale
2017	—	`—`	On the Computational Power of Simple Dynamics. (Sur la puissance de calcul de le dynamiques simples). Emanuele Natale
2017	J	`jnl`	Simple dynamics for plurality consensus. Distributed Comput. Luca Becchetti, Andrea Clementi, Emanuele Natale, Francesco Pasquale, Riccardo Silvestri, Luca Trevisan
2016	A*	`conf`	Brief Announcement: Self-stabilizing Clock Synchronization with 3-bit Messages. PODC Lucas Boczkowski, Amos Korman, Emanuele Natale
2016	A	`conf`	KADABRA is an ADaptive Algorithm for Betweenness via Random Approximation. ESA Michele Borassi, Emanuele Natale
2016	J	`jnl`	KADABRA is an ADaptive Algorithm for Betweenness via Random Approximation. CoRR Michele Borassi, Emanuele Natale
2016	Misc	`conf`	Large Peg-Army Maneuvers. FUN Luciano Gualà, Stefano Leucci, Emanuele Natale, Roberto Tauraso
2016	J	`jnl`	Large Peg-Army Maneuvers. CoRR Luciano Gualà, Stefano Leucci, Emanuele Natale, Roberto Tauraso
2016	A*	`conf`	Noisy Rumor Spreading and Plurality Consensus. PODC Pierre Fraigniaud, Emanuele Natale
2016	B	`conf`	On the Voting Time of the Deterministic Majority Process. MFCS Dominik Kaaser, Frederik Mallmann-Trenn, Emanuele Natale
2016	J	`jnl`	Self-Stabilizing Clock Synchronization with 3-bit messages. CoRR Lucas Boczkowski, Amos Korman, Emanuele Natale
2016	A*	`conf`	Stabilizing Consensus with Many Opinions. SODA Luca Becchetti, Andrea Clementi, Emanuele Natale, Francesco Pasquale, Luca Trevisan
2015	J	`jnl`	Distributed community detection in dynamic graphs. Theor. Comput. Sci. Andrea Clementi, Miriam Di Ianni, Giorgio Gambosi, Emanuele Natale, Riccardo Silvestri
2015	J	`jnl`	Find Your Place: Simple Distributed Algorithms for Community Detection. CoRR Luca Becchetti, Andrea Clementi, Emanuele Natale, Francesco Pasquale, Luca Trevisan
2015	J	`jnl`	Noisy Information Spreading and Plurality Consensus. CoRR Pierre Fraigniaud, Emanuele Natale
2015	J	`jnl`	On the Voting Time of the Deterministic Majority Process. CoRR Dominik Kaaser, Frederik Mallmann-Trenn, Emanuele Natale
2015	A*	`conf`	Plurality Consensus in the Gossip Model. SODA Luca Becchetti, Andrea Clementi, Emanuele Natale, Francesco Pasquale, Riccardo Silvestri
2015	J	`jnl`	Probabilistic Self-Stabilization. CoRR Luca Becchetti, Andrea Clementi, Emanuele Natale, Francesco Pasquale
2015	B	`conf`	Self-Stabilizing Repeated Balls-into-Bins. SPAA Luca Becchetti, Andrea Clementi, Emanuele Natale, Francesco Pasquale, Gustavo Posta
2015	J	`jnl`	Self-Stabilizing Repeated Balls-into-Bins. CoRR Luca Becchetti, Andrea Clementi, Emanuele Natale, Francesco Pasquale, Gustavo Posta
2015	J	`jnl`	Stabilizing Consensus with Many Opinions. CoRR Luca Becchetti, Andrea Clementi, Emanuele Natale, Francesco Pasquale, Luca Trevisan
2014	J	`jnl`	Bejeweled, Candy Crush and other Match-Three Games are (NP-)Hard. CoRR Luciano Gualà, Stefano Leucci, Emanuele Natale
2014	—	`conf`	Bejeweled, Candy Crush and other match-three games are (NP-)hard. CIG Luciano Gualà, Stefano Leucci, Emanuele Natale
2014	J	`jnl`	Plurality Consensus in the Gossip Model. CoRR Luca Becchetti, Andrea Clementi, Emanuele Natale, Francesco Pasquale, Riccardo Silvestri
2014	B	`conf`	Simple dynamics for plurality consensus. SPAA Luca Becchetti, Andrea Clementi, Emanuele Natale, Francesco Pasquale, Riccardo Silvestri, Luca Trevisan
2013	J	`jnl`	Distributed Community Detection in Dynamic Graphs CoRR Andrea Clementi, Miriam Di Ianni, Giorgio Gambosi, Emanuele Natale, Riccardo Silvestri
2013	B	`conf`	Distributed Community Detection in Dynamic Graphs - (Extended Abstract). SIROCCO Andrea Clementi, Miriam Di Ianni, Giorgio Gambosi, Emanuele Natale, Riccardo Silvestri
2013	J	`jnl`	Simple Dynamics for Majority Consensus. CoRR Luca Becchetti, Andrea Clementi, Emanuele Natale, Francesco Pasquale, Riccardo Silvestri, Luca Trevisan

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.