Proceedings in PMLR volume 217 (all the papers in one file here)
Monday, July 10
Faculty of Sciences, Mohammed V University in Rabat
13:00 Registration
13:45 Opening of the Conference
14:00 Distinguished lecture by Dana Angluin (Yale University, USA)
Learning osf Regular Languages by Recurrent Neural Networks? (Mainly Questions)
video
, slides 
15:00 Tutorial by Will Merrill (New York University, USA)
Formal languages and neural models for learning on sequences
video, slides
18:00 Welcome cocktail
Tuesday, July 11
Hotel Farah Rabat
09:00 Invited talk
- Weighted Finite Automata with Failure Transitions: Algorithms and Applications
Cyril Allauzen (Google, New York)
slides
10:00 Coffee break
10:30 Session 1
- Extending Distributional Learning from Positive Data and Membership Queries
Makoto Kanazawa and Ryo Yoshinaka - Identification of Substitutable Context-Free Languages over Infinite Alphabets from Positive Data
Yutaro Numaya, Diptarama Hendrian, Ryo Yoshinaka and Ayumi Shinohara - A Procedure for Inferring a Minimalist Lexicon from an SMT Model of a Language Acquisition Device
Sagar Indurkhya - Learning Syntactic Monoids from Samples by extending known Algorithms for learning State Machines
Simon Dieck and Sicco Verwer
12:30 Lunch
14:30 Session 2
- String Extension Learning Despite Noisy Intrusions
Katherine Wu and Jeffrey Heinz - fAST: regular expression inference from positive examples using Abstract Syntax Trees
Maxime Raynal, Marc-Olivier Buob and Georges Quénot
15:30 Coffee break
16:00 Special session TAYSIR competition
- TAYSIR Competition: Transformer+rnn: Algorithms to Yield Simple and Interpretable Representations
Rémi Eyraud, Dakotah Lambert, Badr Tahri Joutei, Aidar Gaffarov, Mathias Cabanne, Jeffrey Heinz and Chihiro Shibata - Testing-based Black-box Extraction of Simple Models from RNNs and Transformers
Edi Muškardin, Martin Tappler and Bernhard K. Aichernig - Results of Neural-Checker Toolbox in Taysir 2023 Competition
Franz Mayr, Sergio Yovine, Matı́as Carrasco, Alejo Garat, Martı́n Iturbide, Juan da Silva and
Federico Vilensky - A hybrid approach based HMM-Mixture Gaussian for estimating automata in Natural Language Processing
Redouane Hakimi, Badreddine Benyacoub and Mohamed Ouzineb
18:00 Break for the day
Wednesday, July 12
Hotel Farah Rabat
09:00 Invited talk
- A journey into the Generative AI and large language models: From NLP to BioInformatics
Ahmed Elnaggar (Technische Universität München, Germany)
slides
10:00 Coffee break
10:30 Session 3
- Learning state machines from data streams: A generic strategy and an improved heuristic
Robert Baumgartner and Sicco Verwer - Detecting Changes in Loop Behavior for Active Learning
Bram Verboom, Simon Dieck and Sicco Verwer - Lower Bounds for Active Automata Learning
Loes Kruger, Bharat Garhewal and Frits Vaandrager - Work in progress: Active Inference of Extended Finite State Models of Software Systems
Roland Groz, Catherine Oriat, Germán Vega, Adenilso Simao, Michael Foster and Neil Walkinshaw
12:30 Lunch
14:30 ICGI business meeting
15:30 Social event and conference dinner
Thursday, July 13
Hotel Farah Rabat
09:00 Session 4
- Benchmarking State-Merging Algorithms for Learning Regular Languages
Adil Soubki and Jeffrey Heinz - Work in progress: Empirical and Theoretical Arguments for Using Properties of Letters for the Learning of Sequential Functions
Magdalena Markowska and Jeffrey Heinz
10:00 Coffee break
10:30 Session 5
- Formal and Empirical Studies of Counting Behaviour in ReLU RNNs
Nadine El-Naggar, Andrew Ryzhikov, Laure Daviaud, Pranava Madhyastha and Tillman Weyde - Learning Transductions and Alignments with RNN Seq2seq Models
Zhengxiang Wang - A Congruence-based Approach to Active Automata Learning from Neural Language Models
Franz Mayr, Sergio Yovine, Matías Carrasco, Federico Pan and Federico Vilensky
12:00 Lunch
14:00 End of conference