Sublinear-Space Bounded-Delay Enumeration for Massive Network Analytics: Maximal Cliques. - Alessio Conte; Roberto Grossi; Andrea Marino 001; Luca Versari (ICALP, 2016)

Directing Road Networks by Listing Strong Orientations. - Alessio Conte; Roberto Grossi; Andrea Marino 001; Romeo Rizzi; Luca Versari (IWOCA, 2016)

A Fast Algorithm for Large Common Connected Induced Subgraphs. - Alessio Conte; Roberto Grossi; Andrea Marino 001; Lorenzo Tattini; Luca Versari (AlCoB, 2017)

On-Line Pattern Matching on Similar Texts. - Roberto Grossi; Costas S. Iliopoulos; Chang Liu 035; Nadia Pisanti; Solon P. Pissis; Ahmad Retha; Giovanna Rosone; Fatima Vayani; Luca Versari (CPM, 2017)

Listing Maximal Independent Sets with Minimal Space and Bounded Delay. - Alessio Conte; Roberto Grossi; Andrea Marino 001; Takeaki Uno; Luca Versari (SPIRE, 2017)

Measuring the clustering effect of BWT via RLE. - Sabrina Mantaci; Antonio Restivo; Giovanna Rosone; Marinella Sciortino; Luca Versari (Theor. Comput. Sci., 2017)

Finding Maximal Common Subgraphs via Time-Space Efficient Reverse Search. - Alessio Conte; Roberto Grossi; Andrea Marino 001; Luca Versari (COCOON, 2018)

Round-Hashing for Data Storage: Distributed Servers and External-Memory Tables. - Roberto Grossi; Luca Versari (ESA, 2018)

Discovering $k$-Trusses in Large-Scale Networks. - Alessio Conte; Daniele De Sensi; Roberto Grossi; Andrea Marino 001; Luca Versari (HPEC, 2018)

Learning Analytics in Competitive Programming Training Systems. - William Di Luigi; Paolo Fantozzi; Luigi Laura; Gemma Martini; Edoardo Morassutto; Dario Ostuni; Giorgio Piccardo; Luca Versari (IV, 2018)

D2K: Scalable Community Detection in Massive Networks via Small-Diameter k-Plexes. - Alessio Conte; Tiziano De Matteis; Daniele De Sensi; Roberto Grossi; Andrea Marino 001; Luca Versari (KDD, 2018)

Efficient Algorithms for Listing k Disjoint st-Paths in Graphs. - Roberto Grossi; Andrea Marino 001; Luca Versari (LATIN, 2018)

Listing Subgraphs by Cartesian Decomposition. - Alessio Conte; Roberto Grossi; Andrea Marino 001; Romeo Rizzi; Luca Versari (MFCS, 2018)

Tight Lower Bounds for the Number of Inclusion-Minimal st-Cuts. - Alessio Conte; Roberto Grossi; Andrea Marino 001; Romeo Rizzi; Takeaki Uno; Luca Versari (WG, 2018)

Listing Maximal Subgraphs in Strongly Accessible Set Systems. - Alessio Conte; Roberto Grossi; Andrea Marino 001; Luca Versari (CoRR, 2018)

Committee Draft of JPEG XL Image Coding System. - Alexander Rhatushnyak; Jan Wassenberg; Jon Sneyers; Jyrki Alakuijala; Lode Vandevenne; Luca Versari; Robert Obryk; Zoltan Szabadka; Evgenii Kliuchnikov; Iulia-Maria Comsa; Krzysztof Potempa; Martin Bruse; et al. (CoRR, 2019)

A fast discovery algorithm for large common connected induced subgraphs. - Alessio Conte; Roberto Grossi; Andrea Marino 001; Lorenzo Tattini; Luca Versari (Discret. Appl. Math., 2019)

Listing Maximal Subgraphs Satisfying Strongly Accessible Properties. - Alessio Conte; Roberto Grossi; Andrea Marino 001; Luca Versari (SIAM J. Discret. Math., 2019)

Temporal Coding in Spiking Neural Networks with Alpha Synaptic Function. - Iulia M. Comsa; Thomas Fischbacher; Krzysztof Potempa; Andrea Gesmundo; Luca Versari; Jyrki Alakuijala (ICASSP, 2020)

Truly Scalable K-Truss and Max-Truss Algorithms for Community Detection in Graphs. - Alessio Conte; Daniele De Sensi; Roberto Grossi; Andrea Marino 001; Luca Versari (IEEE Access, 2020)

Zuckerli: A New Compressed Representation for Graphs. - Luca Versari; Iulia-Maria Comsa; Alessio Conte; Roberto Grossi (IEEE Access, 2020)

Sublinear-Space and Bounded-Delay Algorithms for Maximal Clique Enumeration in Graphs. - Alessio Conte; Roberto Grossi; Andrea Marino 001; Luca Versari (Algorithmica, 2020)

Intelligent Matrix Exponentiation. - Thomas Fischbacher; Iulia M. Comsa; Krzysztof Potempa; Moritz Firsching; Luca Versari; Jyrki Alakuijala (CoRR, 2020)

Efficient Estimation of Graph Trussness. - Alessio Conte; Roberto Grossi; Andrea Marino 001; Luca Versari (CoRR, 2020)

Recursively Fertile Self-replicating Neural Agents. - Ettore Randazzo; Luca Versari; Alexander Mordvintsev (ALIFE, 2021)

Compression Techniques for Large Graphs: Theory and Practice. - Luca Versari (2021)

Proximity Search for Maximal Subgraph Enumeration. - Alessio Conte; Roberto Grossi; Andrea Marino 001; Takeaki Uno; Luca Versari (SIAM J. Comput., 2022)

Temporal Coding in Spiking Neural Networks With Alpha Synaptic Function: Learning With Backpropagation. - Iulia-Maria Comsa; Krzysztof Potempa; Luca Versari; Thomas Fischbacher; Andrea Gesmundo; Jyrki Alakuijala (IEEE Trans. Neural Networks Learn. Syst., 2022)

High-Fidelity Image Compression with Score-based Generative Models. - Emiel Hoogeboom; Eirikur Agustsson; Fabian Mentzer; Luca Versari; George Toderici; Lucas Theis (CoRR, 2023)

Language Model Beats Diffusion - Tokenizer is key to visual generation. - Lijun Yu; José Lezama; Nitesh Bharadwaj Gundavarapu; Luca Versari; Kihyuk Sohn; David Minnen; Yong Cheng; Agrim Gupta; Xiuye Gu; Alexander G. Hauptmann; Boqing Gong; Ming-Hsuan Yang 001; et al. (ICLR, 2024)

Users prefer Jpegli over same-sized libjpeg-turbo or MozJPEG. - Martin Bruse; Luca Versari; Zoltan Szabadka; Jyrki Alakuijala (CoRR, 2024)

Computational Life: How Well-formed, Self-replicating Programs Emerge from Simple Interaction. - Blaise Agüera y Arcas; Jyrki Alakuijala; James Evans; Ben Laurie; Alexander Mordvintsev; Eyvind Niklasson; Ettore Randazzo; Luca Versari (CoRR, 2024)

Turing Arena Light: Enhancing Programming Education Through Competitive Environments. - Giorgio Audrito; Luigi Laura; Alessio Orlandi; Dario Ostuni; Romeo Rizzi; Luca Versari (From Strings to Graphs, and Back Again, 2025)

Good, Cheap, and Fast: Overfitted Image Compression with Wasserstein Distortion. - Jona Ballé; Luca Versari; Emilien Dupont; Hyunjik Kim; Matthias Bauer (CVPR, 2025)

MesaNet: Sequence Modeling by Locally Optimal Test-Time Training. - Johannes von Oswald; Nino Scherrer; Seijin Kobayashi; Luca Versari; Songlin Yang; Maximilian Schlegel; Kaitlin Maile; Yanick Schimpf; Oliver Sieberling; Alexander Meulemans; Rif A. Saurous; Guillaume Lajoie; et al. (CoRR, 2025)

The JPEG XL Image Coding System: History, Features, Coding Tools, Design Rationale, and Future. - Jon Sneyers; Jyrki Alakuijala; Luca Versari; Zoltan Szabadka; Sami Boukortt; Amnon Cohen-Tidhar; Moritz Firsching; Evgenii Kliuchnikov; Tal Lev-Ami; Eric Portis; Thomas Richter 005; Osamu Watanabe (CoRR, 2025)