Prakash Panangaden

Mila > About Mila > Team > Prakash Panangaden
Core Academic Member
Prakash Panangaden
Full Professor, McGill University
Prakash Panangaden

Prakash Panangaden is a Core academic member of Mila. Professor at the School of Computer Science at McGill University, he is interested in mathematical foundations of machine learning.  He has worked on bisimulation, metrics and approximation for Markov processes. He has also worked on logics for probabilistic systems, Stone duality for Markov processes and programming languages.  His recent activity includes a quantitative extension of equational logic and semantics for a stochastic lambda-calculus. In other recent work, he and his collaborators developed a notion of approximate minimization of weighted finite automata and bisimulation for such automata.  This has led to current activity in automata learning. Past research activities include quantum information theory, concurrent programming semantics, modal logic and category theory.

Publications

2021-12

MICo: Improved representations via sampling-based state similarity for Markov decision processes
Pablo Samuel Castro, Tyler Kastner, Prakash Panangaden and Mark Rowland
NEURIPS 2021
(2021-12-06)
papers.nips.cc

2021-10

Weighted automata are compact and actively learnable
Artem Kaznatcheev and Prakash Panangaden

2021-09

Proceedings 17th International Conference on Quantum Physics and Logic: Preface
Pablo Arrighi, Shane Mansfield, Prakash Panangaden and Benoît Valiron
Electronic Proceedings in Theoretical Computer Science
(2021-09-06)
dx.doi.org
Tensor of quantitative equational theories
Giorgio Bacci, Radu Mardare, Prakash Panangaden and Gordon D. Plotkin
CALCO 2021
(2021-09-03)
drops.dagstuhl.dePDF
Proceedings 17th International Conference on Quantum Physics and Logic
Benoît Valiron, Shane Mansfield, Pablo Arrighi and Prakash Panangaden
arXiv preprint arXiv:2109.01534
(2021-09-03)
ui.adsabs.harvard.eduPDF

2021-06

Universal Semantics for the Stochastic λ-Calculus
Pedro H. Azevedo de Amorim, Dexter Kozen, Radu Mardare, Prakash Panangaden and Michael Roberts
LICS 2021
(2021-06-29)
pureportal.strath.ac.uk
Fixed-Points for Quantitative Equational Logics
Radu Mardare, Prakash Panangaden and Gordon Plotkin
Universal Semantics for the Stochastic Lambda-Calculus
Pedro H Azevedo de Amorim, Dexter Kozen, Radu Mardare, Prakash Panangaden and Michael Roberts
Extracting Weighted Automata for Approximate Minimization in Language Modelling.
arXiv preprint arXiv:2106.02965
(2021-06-05)
ui.adsabs.harvard.eduPDF
MICo: Learning improved representations via sampling-based state similarity for Markov decision processes
Pablo Samuel Castro, Tyler Kastner, Prakash Panangaden and Mark Rowland
arXiv: Learning
(2021-06-03)
ui.adsabs.harvard.eduPDF

2021-02

Optimal Spectral-Norm Approximate Minimization of Weighted Finite Automata
Borja Balle, Clara Lacroce, Prakash Panangaden, Doina Precup and Guillaume Rabusseau

2020-12

Quantitative Equational Reasoning
Giorgio Bacci, Radu Mardare, Prakash Panangaden and Gordon D. Plotkin
(venue unknown)
(2020-12-01)
eksperter.aau.dk

2020-11

Bisimulation metrics and norms for real-weighted automata
Borja Balle, Pascale Gourdeau and Prakash Panangaden
Information & Computation
(2020-11-18)
www.sciencedirect.com
A Study of Policy Gradient on a Class of Exactly Solvable Models.
Gavin McCracken, Colin Daniels, Rosie Zhao, Anna Brandenberger, Prakash Panangaden and Doina Precup
arXiv preprint arXiv:2011.01859
(2020-11-03)
ui.adsabs.harvard.eduPDF

2020-10

Towards a Classification of Behavioural Equivalences in Continuous-time Markov Processes.
Linan Chen, Florence Clerc and Prakash Panangaden
Electronic Notes in Theoretical Computer Science
(2020-10-01)
www.sciencedirect.com

2020-07

Latent Variable Modelling with Hyperbolic Normalizing Flows
Joey Bose, Ariella Smofsky, Renjie Liao, Prakash Panangaden and Will Hamilton
ICML 2020
(2020-07-12)
proceedings.mlr.pressPDF

2020-06

A Distributional Analysis of Sampling-Based Reinforcement Learning Algorithms.

2020-02

Latent Variable Modelling with Hyperbolic Normalizing Flows
Avishek Joey Bose, Ariella Smofsky, Renjie Liao, Prakash Panangaden and William L. Hamilton
arXiv preprint arXiv:2002.06336
(2020-02-15)
arxiv.orgPDF

2020-01

Minimisation in Logical Form.
Nick Bezhanishvili, Marcello M. Bonsangue, Helle Hvid Hansen, Dexter Kozen, Clemens Kupke, Prakash Panangaden and Alexandra Silva
Outstanding Contributions to Logic
(2020-01-01)
www.narcis.nl[LATEST on arXiv preprint arXiv:2005.11551 (2020-05-23)]

2019-11

Bisimulation for Feller-Dynkin Processes
Linan Chen, Florence Clerc and Prakash Panangaden
Electronic Notes in Theoretical Computer Science
(2019-11-30)
www.sciencedirect.com[Also on arXiv preprint arXiv:1904.00976 (2019-04-01)]

2019-10

Singular value automata and approximate minimization
Mathematical Structures in Computer Science
(2019-10-01)
www.cambridge.orgPDF

2019-08

Expressiveness of probabilistic modal logics: A gradual approach
Florence Clerc, Nathanaël Fijalkow, Bartek Klin and Prakash Panangaden
Information & Computation
(2019-08-01)
www.sciencedirect.com

2019-05

Singular value automata and approximate minimization
Mathematical Structures in Computer Science
(2019-05-27)
ui.adsabs.harvard.eduPDF

2019-01

Temporally Extended Metrics for Markov Decision Processes.
AAAI 2019
(2019-01-01)
dblp.uni-trier.dePDF

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