Marimuthu KalimuthuDzień dobry! I'm a researcher at the Machine Learning for Simulation Science lab (Institute for AI) at the University of Stuttgart and the International Max Planck Research School for Intelligent Systems (IMPRS-IS) where I'm working with Mathias Niepert. My current focus is on improving Neural PDE Solvers, Scientific Machine Learning, and Geometric Deep Learning. All in all, I am excited about Simulations, AI/ML4Science, and Tensor Workhorses (CuPy, JAX, NumPy, Python, PyTorch, TorchHD, Xarray). GitHub  /  StackOverflow  /  GScholar  /  DBLP  /  Twitter  /  LinkedIn  /  Email |
Research InterestsMy academic interests are diverse and span across several fields such as Deep Neural Networks, (Applied) Machine Learning, Visual / Scientific / Data-Intensive / Hyperdimensional Computing, etc. A cornucopia of my ephemeral life interests are Barefoot Running, Dharma, Pranayama, Pilgrimage, Spirituality (Buddhist & Hindu Cosmology), Organic Farming, (long-distance) Biking and Hiking, Cooking, L2 Acquisition, Reading, Photography, Solo Travel, etc. |
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Selected Publications |
Active Learning for Neural PDE Solvers
[NeurIPS-W 2024] [arXiv] [Code] [Bibtex] |
Vectorized Conditional Neural Fields (VCNeF): A Framework for Solving Time-dependent Parametric Partial Differential Equations (PDEs)
[ICML, ICLR-W] 2024 [Project] [arXiv] [PMLR] [Poster] [Code] [Bibtex] |
Trends in Integration of Vision and Language Research: A Survey of Tasks, Datasets, and Methods
JAIR 2021 [arXiv] [Bibtex] |
Fusion Models for Improved Image Captioning
ICPR 2021 [arXiv] [Bibtex] |
A Competitive Deep Neural Network Approach for the ImageCLEFmed Caption 2020 Task
ImageCLEF 2020 [arXiv] [Bibtex] |
Incremental Domain Adaptation for Neural Machine Translation in Low-Resource Settings
ACL 2019 [Bibtex] |
Teaching Experience@ University of Stuttgart, Vaihingen Campus
Advanced Seminar: Deep Learning for the Sciences
Advanced Seminar: Deep Learning for the Sciences
Advanced Seminar: Deep Learning for the Sciences
Advanced Seminar: Machine Learning in the Sciences
Introduction to Artificial Intelligence
@ Saarland Informatics Campus (SIC), Saarland University
Neural Networks: Theory and Implementation
Neural Networks: Implementation and Application
Statistical Natural Language Processing (SNLP)
Neural Networks: Implementation and Application
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Pet Projects |
Community EngagementInterested in Machine Learning for Science and Simulations?
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Academic Service
Program Committee Member
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