Antonio Rago
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View article: Argumentatively Coherent Judgmental Forecasting
Argumentatively Coherent Judgmental Forecasting Open
Judgmental forecasting employs human opinions to make predictions about future events, rather than exclusively historical data as in quantitative forecasting. When these opinions form an argumentative structure around forecasts, it is usef…
View article: Exploring the Effect of Explanation Content and Format on User Comprehension and Trust in Healthcare
Exploring the Effect of Explanation Content and Format on User Comprehension and Trust in Healthcare Open
AI-driven tools for healthcare are widely acknowledged as potentially beneficial to health practitioners and patients, e.g. the QCancer regression tool for cancer risk prediction. However, for these tools to be trusted, they need to be sup…
View article: Synthesising Counterfactual Explanations via Label-Conditional Gaussian Mixture Variational Autoencoders
Synthesising Counterfactual Explanations via Label-Conditional Gaussian Mixture Variational Autoencoders Open
Counterfactual explanations (CEs) provide recourse recommendations for individuals affected by algorithmic decisions. A key challenge is generating CEs that are robust against various perturbation types (e.g. input and model perturbations)…
View article: Gradient flow for parton distribution functions: first application to the pion
Gradient flow for parton distribution functions: first application to the pion Open
Parton distribution functions (PDFs) are central to precision QCD phenomenology. Their Mellin moments can be computed on the lattice, but direct determinations using local operators, besides $\langle x \rangle$, face severe challenges from…
View article: Contestability in Quantitative Argumentation
Contestability in Quantitative Argumentation Open
Contestable AI requires that AI-driven decisions align with human preferences. While various forms of argumentation have been shown to support contestability, Edge-Weighted Quantitative Bipolar Argumentation Frameworks (EW-QBAFs) have rece…
View article: Argumentative Ensembling for Robust Recourse under Model Multiplicity
Argumentative Ensembling for Robust Recourse under Model Multiplicity Open
In machine learning, it is common to obtain multiple equally performing models for the same prediction task, e.g., when training neural networks with different random seeds. Model multiplicity (MM) is the situation which arises when these …
View article: The singlet scalar state in a chiral ensemble in $SU(2)$ with two fundamental flavours
The singlet scalar state in a chiral ensemble in $SU(2)$ with two fundamental flavours Open
Composite Higgs models are a class of Beyond the Standard Model (BSM) models proposed to address the hierarchy and naturalness problems associated with the Standard Model (SM) Higgs. A new QCD-like strongly interacting sector based on $SU(…
View article: Free Argumentative Exchanges for Explaining Image Classifiers
Free Argumentative Exchanges for Explaining Image Classifiers Open
Deep learning models are powerful image classifiers but their opacity hinders their trustworthiness. Explanation methods for capturing the reasoning process within these classifiers faithfully and in a clear manner are scarce, due to their…
View article: The singlet scalar state in a chiral ensemble in $SU(2)$ with two fundamental flavours
The singlet scalar state in a chiral ensemble in $SU(2)$ with two fundamental flavours Open
Composite Higgs models are a class of Beyond the Standard Model (BSM) models proposed to address the hierarchy and naturalness problems associated with the Standard Model (SM) Higgs. A new QCD-like strongly interacting sector based on $SU(…
View article: High-Performance Simulations of Higher Representations of Wilson Fermions
High-Performance Simulations of Higher Representations of Wilson Fermions Open
View article: Scaling SU(2) to 1000 GPUs using HiRep
Scaling SU(2) to 1000 GPUs using HiRep Open
HiRep allows flexible simulations of higher representations of Wilson Fermions with various actions\nand gauge groups and a range of inverters and integrators. This is particularly important for enabling\nevaluations of observables relevan…
View article: Determination of the pseudoscalar decay constant from SU(2) with two fundamental flavors
Determination of the pseudoscalar decay constant from SU(2) with two fundamental flavors Open
The SU(2) gauge group with two fundamental flavors is a candidate for a composite Higgs extension of the Standard Model. Central to Higgs phenomenology is a non-perturbative determination of observables of the theory, such as the decay con…
View article: Probing higher moments of pion parton distribution functions
Probing higher moments of pion parton distribution functions Open
We present the first numerical investigation of the method proposed in Ref. [1] to utilize gradient flow to obtain precise determinations of higher moments of PDFs from lattice QCD, circumventing power divergent mixing with lower dimension…
View article: Determination of the pseudoscalar decay constant from SU(2) with two fundamental flavors
Determination of the pseudoscalar decay constant from SU(2) with two fundamental flavors Open
The SU(2) gauge group with two fundamental flavors is a candidate for a composite Higgs extension of the Standard Model. Central to Higgs phenomenology is a non-perturbative determination of observables of the theory, such as the decay con…
View article: Gradient Flow Renormalisation for Meson Mixing and Lifetimes
Gradient Flow Renormalisation for Meson Mixing and Lifetimes Open
View article: Scaling SU(2) to 1000 GPUs using HiRep
Scaling SU(2) to 1000 GPUs using HiRep Open
HiRep allows flexible simulations of higher representations of Wilson Fermions with various actions and gauge groups and a range of inverters and integrators. This is particularly important for enabling evaluations of observables relevant …
View article: A Methodology for Incompleteness-Tolerant and Modular Gradual Semantics for Argumentative Statement Graphs
A Methodology for Incompleteness-Tolerant and Modular Gradual Semantics for Argumentative Statement Graphs Open
Gradual semantics (GS) have demonstrated great potential in argumentation, in particular for deploying quantitative bipolar argumentation frameworks (QBAFs) in a number of real-world settings, from judgmental forecasting to explainable AI.…
View article: Gradient Flow Renormalisation for Meson Mixing and Lifetimes
Gradient Flow Renormalisation for Meson Mixing and Lifetimes Open
Fermionic gradient flow in combination with the short-flow-time expansion provides a computational method where the renormalisation of hadronic matrix elements on the lattice can be simplified to address e.g. the issue that operators with …
View article: Interval abstractions for robust counterfactual explanations
Interval abstractions for robust counterfactual explanations Open
View article: Exploring the Effect of Explanation Content and Format on User Comprehension and Trust in Healthcare
Exploring the Effect of Explanation Content and Format on User Comprehension and Trust in Healthcare Open
AI-driven tools for healthcare are widely acknowledged as potentially beneficial to health practitioners and patients, e.g. the QCancer regression tool for cancer risk prediction. However, for these tools to be trusted, they need to be sup…
View article: Heterogeneous Graph Neural Networks with Post-hoc Explanations for Multi-modal and Explainable Land Use Inference
Heterogeneous Graph Neural Networks with Post-hoc Explanations for Multi-modal and Explainable Land Use Inference Open
Urban land use inference is a critically important task that aids in city planning and policy-making. Recently, the increased use of sensor and location technologies has facilitated the collection of multi-modal mobility data, offering val…
View article: GPU-accelerated Higher Representations of Wilson Fermions with HiRep
GPU-accelerated Higher Representations of Wilson Fermions with HiRep Open
We are improving one of the available lattice software packages HiRep by adding GPU acceleration supporting highly-optimized simulations on both NVIDIA and AMD GPUs. HiRep allows lattice simulations of theories with fermions in higher repr…
View article: GPU-accelerated Higher Representations of Wilson Fermions with HiRep
GPU-accelerated Higher Representations of Wilson Fermions with HiRep Open
We are improving one of the available lattice software packages HiRep by adding GPU acceleration supporting highly-optimized simulations on both NVIDIA and AMD GPUs. HiRep allows lattice simulations of theories with fermions in higher repr…
View article: 2-flavour $SU(2)$ gauge theory with exponential clover Wilson fermions
2-flavour $SU(2)$ gauge theory with exponential clover Wilson fermions Open
Composite Higgs models are a class of models proposed to address the hierarchy and naturalness problems associated with the Standard Model fundamental scalar Higgs. $SU(2)$ with two fundamental flavours is a minimal model for the composite…
View article: Robust Counterfactual Explanations in Machine Learning: A Survey
Robust Counterfactual Explanations in Machine Learning: A Survey Open
Counterfactual explanations (CEs) are advocated as being ideally suited to providing algorithmic recourse for subjects affected by the predictions of machine learning models. While CEs can be beneficial to affected individuals, recent work…
View article: Optimizing Hirep Lattice Simulations on Cpu-Based Computer Clusters
Optimizing Hirep Lattice Simulations on Cpu-Based Computer Clusters Open
View article: 2-flavour $SU(2)$ gauge theory with exponential clover Wilson fermions
2-flavour $SU(2)$ gauge theory with exponential clover Wilson fermions Open
Composite Higgs models are a class of models proposed to address the hierarchy and naturalness problems associated with the Standard Model fundamental scalar Higgs. $SU(2)$ with two fundamental flavours is a minimal model for the composite…
View article: Progress in generating gauge ensembles with Stabilized Wilson Fermions
Progress in generating gauge ensembles with Stabilized Wilson Fermions Open
The continued generation of $N_f=2+1$ quark flavor gauge configurations using stabilized Wilson fermions by the open lattice initiative (OpenLat) is reported. We present the status of our ongoing production and show updates on increasing s…
View article: Using Gradient Flow to Renormalise Matrix Elements for Meson Mixing and Lifetimes
Using Gradient Flow to Renormalise Matrix Elements for Meson Mixing and Lifetimes Open
Neutral meson mixing and meson lifetimes are theory-side parametrised in terms four-quark operators which can be determined by calculating weak decay matrix elements using lattice Quantum Chromodynamics.While calculations of meson mixing m…
View article: Recourse under Model Multiplicity via Argumentative Ensembling (Technical Report)
Recourse under Model Multiplicity via Argumentative Ensembling (Technical Report) Open
Model Multiplicity (MM) arises when multiple, equally performing machine learning models can be trained to solve the same prediction task. Recent studies show that models obtained under MM may produce inconsistent predictions for the same …