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Publications
Approximation theory for distant Bang calculus
with Kostia Chardonnet and Jules Chouquet
at the
International Conference on Formal Structures for Computation and Deduction
2026
The algebraic λ-calculus is a conservative extension of the ordinary λ-calculus
with Lionel Vaux Auclair
at the
11th International Workshop on Higher-Order Rewriting
Why are proofs relevant in proof-relevant models?
with Giulio Manzonetto and Federico Olimpieri
in
Principles of Programming Languages, 2023
Call-By-Value, Again!
with Giulio Manzonetto and Simona Ronchi Della Rocca
in
Proc. of Formal Structures for Computation and Deduction 2021
Revisiting Call-by-Value Böhm trees in light of their Taylor expansion
with Giulio Manzonetto and Michela Pagani
in Volume 16, Issue 3,
Logical Methods in Computer Science
, 2020.
When does deep multi-task learning work for loosely related document classification tasks?
with Anders Søgaard and Chloe Braud
at the
Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP
Presentations
Seminar at
LACL
january 2026:
slides
Seminar at
I2M
december 2025:
slides
LHC 2024
:
slides
PhD 2023
:
slides
Chocola
may 2023:
slides
Seminar at
I2M
september 2022:
slides
Seminar at
LIPN
september 2021:
slides
FSCD 2021
:
slides
and
video
.
Publications
Approximation theory for distant Bang calculus
avec Kostia Chardonnet et Jules Chouquet
à la
International Conference on Formal Structures for Computation and Deduction
2026
The algebraic λ-calculus is a conservative extension of the ordinary λ-calculus
avec Lionel Vaux Auclair
à la
11th International Workshop on Higher-Order Rewriting
Why are proofs relevant in proof-relevant models?
avec Giulio Manzonetto et Federico Olimpieri
à
Principles of Programming Languages, 2023
Call-By-Value, Again!
avec Giulio Manzonetto et Simona Ronchi Della Rocca
à
Proc. of Formal Structures for Computation and Deduction 2021
Revisiting Call-by-Value Böhm trees in light of their Taylor expansion
avec Giulio Manzonetto et Michela Pagani
dans le Volume 16, Issue 3,
Logical Methods in Computer Science
, 2020.
When does deep multi-task learning work for loosely related document classification tasks?
avec Anders Søgaard et Chloe Braud
dans les
Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP
Présentations
Seminaire à
LACL
janvier 2026:
slides
Seminaire à
I2M
décembre 2025:
slides
LHC 2024
:
slides
soutenance de thése 2023
:
slides
Chocola
mai 2023:
slides
Seminaire à
I2M
sptembre 2022:
slides
Seminaire à
LIPN
septembre 2021:
slides
FSCD 2021
:
slides
et
vidéo
.