Demo Data from EDBT 2026 / reviewers in the wild / expert
Guido Fiorillo
dblp:436/0458
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2026
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Theoretical computer science
1 paper |
Automated reasoning and model checking · 50% Logic in computer science · 25% Computational complexity · 25% | |
| Software engineering, system software, and programming languages
1 paper |
Program verification · 100% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Program verification › model checking
higher-order recursion schemes |
1.0 | 1 | 2026 | On Higher-Order Probabilistic Verification via the Weighted Relational Model of Linear Logic · LICS 2026 |
Automated reasoning and model checking › probabilistic verification
almost-sure termination |
1.0 | 1 | 2026 | On Higher-Order Probabilistic Verification via the Weighted Relational Model of Linear Logic · LICS 2026 |
Computational complexity
decidability |
1.0 | 1 | 2026 | On Higher-Order Probabilistic Verification via the Weighted Relational Model of Linear Logic · LICS 2026 |
Logic in computer science › proof theory › substructural logic
linear logic |
1.0 | 1 | 2026 | On Higher-Order Probabilistic Verification via the Weighted Relational Model of Linear Logic · LICS 2026 |
Automated reasoning and model checking
probabilistic verification |
1.0 | 1 | 2026 | On Higher-Order Probabilistic Verification via the Weighted Relational Model of Linear Logic · LICS 2026 |
Methods — techniques the papers use, named apart from their topics
generating functions · 2.0algebraic functions · 2.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | On Higher-Order Probabilistic Verification via the Weighted Relational Model of Linear LogicabstractThe problem of determining whether a probabilistic program terminates almost surely (i.e. with probability one) is undecidable, and actually Π⁰₂-complete. For this reason, a growing literature has explored classes of programs for which this and related problems can be shown (semi-)decidable. In this work we consider the termination problem for the language of Probabilistic Higher-Order Recursion Schemes (PHORS). Using the weighted relational semantics of linear logic, we translate this problem into the computation of suitable generating functions associated with the program interpreted. This way, we establish the decidability of almost sure termination for a class of programs that extends Li et al.’s affine PHORS via a type discipline with bounded exponentials. To achieve this, we show that the generating functions for such programs are always algebraic, that is, solutions of polynomial equations, yielding an effective method to answer the termination problem. Ugo Dal Lago, Guido Fiorillo, Paolo Pistone |
LICS | 2 |