The workshop will be held at Reykjavik University on June 19th 2017, from 9 am to 6 pm. Lunch and coffee breaks are included in registration fees.
In addition to the three keynotes from our invited speakers, we will have 6 thirty minutes talks on peer-reviewed selected papers. 9 posters from selected submitted papers will also be displayed to enforce the discussions (see details below).
Here is the detailed program:
| 09:00-09:05 | Short Introduction to the workshop, slides |
| 09:05-10:05 | Invited keynote: Alexandra Silva, UCL |
| 10:05-10:30 | Coffee break (Posters setup) |
| 10:30-11:00 | Simone Barlocco and Clemens Kupke: Automata Learning: A Modal Logic Perspective |
| 11:00-11:30 | Rick Smetsers: Grammatical Inference as a Satisfiability Modulo Theories Problem, paper |
| 11:30-12:00 | Enes Avcu, Chihiro Shibata and Jeffrey Heinz: Subregular Complexity and Deep Learning, paper |
| 12:00-12:09 | Posters Spotlights (1 minute per poster) |
| 12:09-14:00 | Posters@Lunch |
| 14:00-15:00 | Invited keynote: Mehryar Mohri, Google and NYU |
| 15:00-15:30 | Ariadna Quattoni, Xavier Carreras and Matthias Gallé: Scalable Spectral Learning of Automata through Maximum Matching, paper |
| 15:30-16:00 | Coffee break (Posters) |
| 16:00-17:00 | Invited keynote: Kim G. Larsen, Aalborg University |
| 17:00-17:30 | Nathanaël Fijalkow: Bisimulation on Distributions for Markov Decision Processes |
| 17:30-18:00 | Alexander Clark: Strong learning of Probabilistic Context-Free Grammars from Strings |
The 9 selected posters are:
- Giovanni Bacci, Giorgio Bacci, Kim Guldstrand Larsen and Radu Mardare: On the Metric-based Approximate Minimization of Markov Chains
- Michael Bukatin and Jon Anthony: Dataflow Matrix Machines as a Model of Computations with Linear Streams, Paper.
- Kaizaburo Chubachi, Diptarama, Ryo Yoshinaka and Ayumi Shinohara: Query Learning of Regular Languages over Large Ordered Alphabets, Paper.
- Joshua Moerman: Learning Product Automata, Paper.
- Tianyu Li, Guillaume Rabusseau and Doina Precup: Neural Network Based Nonlinear Weighted Finite Automata, Paper.
- Alexis Linard, Rick Smetsers, Frits Vaandrager, Umar Waqas, Joost van Pinxten and Sicco Verwer: Learning Pairwise Disjoint Simple Languages from Positive Examples, Paper.
- Xiaoran Liu, Qin Lin, Sicco Verwer and Dmitri Jarnikov: Anomaly Detection in a Digital Video Broadcasting System Using Timed Automata, Paper.
- Guillaume Rabusseau and Joelle Pineau: Multitask Spectral Learning of Weighted Automata, Paper.
- Michal Soucha and Kirill Bogdanov: Efficient Active Learning with Extra States