A Diagrammatic Axiomatisation of Fermionic Quantum Circuits. - Amar Hadzihasanovic; Giovanni de Felice; Kang Feng Ng (FSCD, 2018)

Towards Compositional Distributional Discourse Analysis. - Bob Coecke; Giovanni de Felice; Dan Marsden; Alexis Toumi (CAPNS@QI, 2018)

Montague Semantics for Lambek Pregroups. - Giovanni de Felice; Konstantinos Meichanetzidis; Alexis Toumi (ACT, 2019)

A diagrammatic calculus of fermionic quantum circuits. - Giovanni de Felice; Amar Hadzihasanovic; Kang Feng Ng (Log. Methods Comput. Sci., 2019)

DisCoPy: Monoidal Categories in Python. - Giovanni de Felice; Alexis Toumi; Bob Coecke (ACT, 2020)

Quantum Natural Language Processing on Near-Term Quantum Computers. - Konstantinos Meichanetzidis; Stefano Gogioso; Giovanni de Felice; Nicolò Chiappori; Alexis Toumi; Bob Coecke (QPL, 2020)

Functorial Language Games for Question Answering. - Giovanni de Felice; Elena Di Lavore; Mario Román; Alexis Toumi (ACT, 2020)

Foundations for Near-Term Quantum Natural Language Processing. - Bob Coecke; Giovanni de Felice; Konstantinos Meichanetzidis; Alexis Toumi (CoRR, 2020)

Grammar-Aware Question-Answering on Quantum Computers. - Konstantinos Meichanetzidis; Alexis Toumi; Giovanni de Felice; Bob Coecke (CoRR, 2020)

Diagrammatic Differentiation for Quantum Machine Learning. - Alexis Toumi; Richie Yeung; Giovanni de Felice (QPL, 2021)

How to make qubits speak. - Bob Coecke; Giovanni de Felice; Konstantinos Meichanetzidis; Alexis Toumi (CoRR, 2021)

lambeq: An Efficient High-Level Python Library for Quantum NLP. - Dimitri Kartsaklis; Ian Fan; Richie Yeung; Anna Pearson; Robin Lorenz; Alexis Toumi; Giovanni de Felice; Konstantinos Meichanetzidis; Stephen Clark; Bob Coecke (CoRR, 2021)

There and back again: A circuit extraction tale. - Miriam Backens; Hector Miller-Bakewell; Giovanni de Felice; Leo Lobski; John van de Wetering (Quantum, 2021)

Monoidal Streams for Dataflow Programming. - Elena Di Lavore; Giovanni de Felice; Mario Román (LICS, 2022)

Quantum Linear Optics via String Diagrams. - Giovanni de Felice; Bob Coecke (QPL, 2022)

Categorical Tools for Natural Language Processing. - Giovanni de Felice (CoRR, 2022)

Categorical tools for natural language processing. - Giovanni de Felice (2022)

Time Series Kernels based on Nonlinear Vector AutoRegressive Delay Embeddings. - Giovanni de Felice; John Yannis Goulermas; Vladimir V. Gusev (NeurIPS, 2023)

Light-Matter Interaction in the ZXW Calculus. - Giovanni de Felice; Razin A. Shaikh; Boldizsár Poór; Lia Yeh; Quanlong Wang; Bob Coecke (QPL, 2023)

DisCoPy: the Hierarchy of Graphical Languages in Python. - Alexis Toumi; Richie Yeung; Boldizsár Poór; Giovanni de Felice (CoRR, 2023)

Higher-Order DisCoCat (Peirce-Lambek-Montague semantics). - Alexis Toumi; Giovanni de Felice (CoRR, 2023)

Grammar-aware sentence classification on quantum computers. - Konstantinos Meichanetzidis; Alexis Toumi; Giovanni de Felice; Bob Coecke (Quantum Mach. Intell., 2023)

Graph-based Virtual Sensing from Sparse and Partial Multivariate Observations. - Giovanni de Felice; Andrea Cini; Daniele Zambon; Vladimir V. Gusev; Cesare Alippi (ICLR, 2024)

On the Regularization of Learnable Embeddings for Time Series Processing. - Luca Butera; Giovanni de Felice; Andrea Cini; Cesare Alippi (CoRR, 2024)

Coinductive Streams in Monoidal Categories. - Elena Di Lavore; Giovanni de Felice; Mario Román (Log. Methods Comput. Sci., 2025)

On the Regularization of Learnable Embeddings for Time Series Forecasting. - Luca Butera; Giovanni de Felice; Andrea Cini; Cesare Alippi (Trans. Mach. Learn. Res., 2025)

Causally Reliable Concept Bottleneck Models. - Giovanni de Felice; Arianna Casanova Flores; Francesco De Santis; Silvia Santini; Johannes Schneider; Pietro Barbiero; Alberto Termine (CoRR, 2025)