MMLA19 (Registrations open): International Conference on Modeling, Machine Learning and Astronomy PES University RR Campus Bangalore, India, November 21-23, 2019 |
Conference website | https://in.explara.com/e/mmla-international-conference-on-modeling-machine-learning-and-astronomy |
Submission link | https://easychair.org/conferences/?conf=mmla19 |
Submission deadline | September 30, 2019 |
Acceptance Notification | October 25, 2019 |
Theory of machine learning, deep learning in particular has been witnessing an implosion lately in deciphering the “black-box approaches”. Optimizing deep neural networks is largely thought to be an empirical process, requiring manual tuning of several parameters. Drawing insights in to these parameters gained much attention lately. The conference aims to focus on gaining theoretical insights in the computation and setting of these parameters and solicits original work reflecting the influence of such theoretical framework on experimental results on standard datasets and architectures. The conference aims to garner valuable talking points from optimization studies, another aspect of deep learning architectures and experiments. It is in this spirit, the organizers wish to bridge metaheuristic optimization methods with deep neural networks and solicit papers that focus on exploring alternatives to gradient descent/ascent types methods. Papers with theoretical insights and proofs are particularly sought after, with or without limited experimental validation. We would welcome cutting-edge research on aspects of deep learning theory used in the fields of artificial intelligence, statistics and data science, theoretical and numerical optimization.
Data is at the heart of this. Astronomy is a fascinating case study as it had embraced big data embellished by many sky-surveys. The variety and complexity of the data sets at different wavelengths, cadences etc. imply that modeling, computational intelligence methods and machine learning need to be exploited to understand astronomy. The importance of data driven discovery in Astronomy has given birth to an exciting new field known as astroinformatics. The inter-disciplinary study brings together machine learning theorists, astronomers, mathematicians and computer scientists underpinning the importance of machine learning algorithms and data analytic techniques.
The Conference 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.
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference. Accepted and presented papers (12 to 15 pages in the CCIS one-column page format) in MMLA 2019 are granted for publication as Communications in Computer and Information Science (CCIS) proceedings by Springer Nature. CCIS is abstracted/indexed in DBLP, Google Scholar, EI-Compendex, Mathematical Reviews, SCImago, Scopus. CCIS volumes are also submitted for the inclusion in ISI Proceedings.
Note to Authors: Proof of concept papers, applied on toy data sets are welcome as long as the theory and models are solid. Papers with applications in some area of Engineering or Science, without theoretical insight would be “desk-rejected”. Application in Astronomy is strongly encouraged but the lack of it would not be a reason for rejection. The submission and review process follow (strict) double blind protocol. Manuscripts attempting to reveal author identity in direct or indirect manner will be summarily rejected. At least one of the authors of accepted manuscript needs to register and present during the conference.
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Formatting Instructions: CCIS one-column format (Springer Nature). Please refer to the webpage for formatting instructions: http://mmla.pes.edu/call-for-papers/
Page length and Tracks:
- Track I: Applied Machine Learning B) Track II: Machine Learning in Astronomy C) Track III: Modeling and Applications
12-15 pages (Full length original manuscript)
12-15 Pages (Survey articles on recent advances in Astroinformatics)
8-10 pages (short communication)
The following paper categories are welcome:
- Full papers describing original theory and/or novel applications of Machine Learning/Modeling in Astronomy
- Survey articles on recent advances in Astroinformatics
- Short Communication: theoretically insightful papers in Machine learning/Deep learning/Computational Intelligence; application area/ data sets need not be mentioned
List of Topics
Topics of interest include, but are not limited to:
- 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
Committees
Chief Patron
M. R. Doreswamy, Chancellor, PES University
Patrons
D. Jawahar, Pro-Chancellor, PES University
Ajoy Kumar, COO, PES Institutions
Steering Committee Chairs
K N Balasubrahmanya Murthy, Vice Chancellor, PES University
V Krishna Murthy, Registrar, PES University
K. S. Sridhar, Principal, PESIT
J. Surya Prasad, Director, PES University, EC Campus
TSB Sudarshan, Dean-Research, PES University
S S Shylaja, Chairperson, Dept. of CSE, PES University
General Chairs
Snehanshu Saha, Professor, Dept. of CSE, PES University
Jayant Murthy, Director, Indian Institute of Astrophysics
Organizing Chair: S S Shylaja, Chairperson, Dept. of CSE, PES University
Organizing Co-Chairs: D Uma, Professor, Dept. of CSE, PES University
Mamatha H R, Professor, Dept. of CSE, PES University
Jayashree.R, Professor, Dept. of CSE, PES University
Publication Chairs
Gowri Srinivasa Professor, Dept. of CSE, PES University
Shikha Tripathi, Professor, Department of ECE, PES University
Technical Programme Chair
Saroj Meher, ISI Bangalore; Nithin Nagaraj, National Institute of Advanced Studies
Technical Programme Committee Members
Eric Feigelson, Penn State
Jogesh Babu, Penn State
Robert Mann, University of Waterloo
ZM Musielak, UT Arlington,
Ajith.P, ICTS,
Ashish Mahabal,CalTech,
Mousumi Das-IIAP,
Margarita Safonova-IIAP,
TD Saini-IISc,
Ninan Sajeeth-St. Thomas College,
Surbhi Agrawal, PES University EC Campus
Kakoli Bora-PES University, EC Campus
Archana Mathur-ISI Bangalore,
Rahul Yedida-NC State University,
Suryoday Basak-UT Arlington,
Ricardo Vilalta -University of Houston
Pablo Moscato -University of Newcastle, Australia
Stefano Andreon -INAF Brera
Fabian Gieseke, U of Copenhagen,
Jessica McIver, Caltech
Kai Polsterer, U.Heidelberg, Germany
Alberto Krone-Martins, Lisbon, Portugal
Francisco Forster Buron, Center for Mathematical Modelling (CMM) at Universidad de Chile
Guillermo Cabrera, Instituto de Física "Gleb Wataghin", Universidade Estadual de Campinas Chile,
Asif Ekbal, IIT Patna,
Sriparna Saha, IIT Patna,
Anirban Chakraborty, CDS, IISc,
S.Natarajan, PES University,
R.Srinath, PES University,
Snehanshu Saha, PES University
Kaustuv Vaghmare, IUCAA
J. Michael Burgess Max-Planck-Institut fur extraterrestrische Physik, Germany
Jessica Cisewski Yale University, USA
Rafael S. de Souza University of North Carolina, USA
Alan Heavens Imperial College, UK
Jianhua Huang Texas A&M University, USA
Zelijko Ivezic University of Washington, USA
Sarah Loebman University of California, USA
Domenico Marinucci Universita di Roma Tor Vergata, Italy
Advisory Committee Chair
Shikha Tripathi, Professor, Department of ECE, PES University
Advisory Committee Members
SomakRaychaudhury, IUACA
VaskarRaychoudhury, University of Miami, Ohio
James Peterson, Clemson University
BS DayaSagar, ISI Bangalore
Saroj Meher, ISI Bangalore
Bhabotosh Chanda, ISI Kolkata
Ajit Kembhavi, IUCAA
Kartik Muralidharan, IEEE Computer Society Bangalore Chapter
Vishwas Lakhundi, IEEE Computer Society Bangalore Chapter
Hima Patel, IEEE Computer Society Bangalore Chapter Executive Committee
Rodolfo Valentim Federal University of Sao Paulo, Brazil
Ben Wandelt Universit´e Pierre & Marie Curie, France
Dinkar Sitaram, PES University
KV Subramaniam, PES University
Reetinder Singh Sidhu, PES University
Publicity Chair
TSB Sudarshan, Dean-Research, PES University
Committee of Integrity:
Chair : Koshy George, PES University
Nithin Nagaraj, National Institute of Advanced Studies
Suresh Sundaram, Indian Institute of Science
Desk Editors:
Gowri Srinivasa Professor, Dept. of CSE, PES University
- Archana Mathur, Indian Statistical Institute Bangalore
Invited Speakers
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Keynote Speech:
- Ashish Mahabal, Caltech and Jet Propulsion Labs
- Oleg Malkov, Russian Academy of Sciences--Parameterization of stars and determination of interstellar extinction from multicolor photometry
- Invited Talk: Tarun Deep Saini, IISc
- Kartik GuruMurthy, Amazon
- Ajith Parmeswaran, ICTS
- Anand Sengupta (IIT Gandhinagar)
- Suresh Sundaram, IISc
- Sriparna Saha, IIT Patna--"Multiobjective Clustering Techniques: Theory and Applications"
- Najam Hasan, Moulana Azad National Urdu University
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Pre-conference Tutorial on Machine Learning/Deep Neural Nets:
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Archana Mathur, Indian Statistical Institute, Bangalore-“AutoEncoders and ANN”
Sheelu Abraham, IUCAA - “Convolutional Neural Network as a tool for galaxy feature identifier"
Kaushal Sharma, IUCAA—“Hands on introduction to spectral classification”
Sriparna Saha, Maulana Abul Kalam Azad University of Technology—"Fuzzy Systems”
Venue
The conference will be held in PES University, Outer Ring Rd, Banashankari 3rd Stage, Banashankari, Bengaluru, Karnataka 560085
Contact
All questions about submissions should be emailed to snehanshusaha@pes.edu