Conference Modeling Machine Learning Astronomy PES UniversityAbout
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The International Conference on Modeling, Machine Learning and Astronomy aims to set a unique ground as an amalgamation of the diverse ideas and techniques while staying true to the baseline. We expect to discuss new developments in modeling, machine learning, design of complex computer experiments and data analytic techniques which can be used in areas beyond astronomical data analysis. Given the horizontal nature of MMLA, we hope to disseminate methods that are area-agnostic but currently of interest to the broad community of science and engineering.

Call for Papers

Topics of Interest:

  • Exoplanets (discovery, machine classification etc.)
  • Unsupervised, semi-supervised, and supervised representation learning
  • Representation learning for reinforcement learning
  • Metric learning and kernel learning
  • Deep learning in astronomy
  • MCMC on big data
  • Statistical Machine Learning
  • Bayesian Methods in Astronomy
  • Meta-heuristic and Evolutionary Clustering methods and applications in Astronomy
  • Optimization methods
  • Swarm intelligence
  • Multi-objective optimization
  • Dynamical Systems and Complexity
  • Information-Theoretic Methods in Life-like Systems
  • Predictive Methods for Complex Adaptive Systems and Life-like Systems
  • Evolutionary Games
Submission Guidelines
  • Formatting Instructions: IEEE 2-column format.
  • Page length and Tracks:
    Track I: Applied Machine Learning
    Track II: Machine Learning in Astronomy
  • 8 pages (Full length original manuscript)
  • 10 Pages (Survey articles on recent advances in astoinformatics)
  • 4 pages (theoretically insightful papers in Machine learning/Deep learning/Computational Intelligence; application area/ data sets need not be mentioned)

For Paper Submission, click here.

Important Dates
  • Paper Submission Deadline: July 30, 2019
  • Notification of Acceptance: September 15, 2019
  • Camera Ready Copy and Registration: October 10, 2019
  • Pre-conference tutorial: November 21, 2019
Contact

For any queries, contact

PES University
100 Feet Ring Road,
BSK III Stage,
Bangalore-560085
Phone: +91 80 26721983, +91 80 26722108

For any further information, visit the website here

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