Marimuthu Kalimuthu - Universität Stuttgart

Marimuthu Kalimuthu

Dzień 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).

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Research Interests

My 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.

Selected Publications
LOGLO-FNO: Efficient Learning of Local and Global Features in Fourier Neural Operators
Marimuthu Kalimuthu, David Holzmüller, Mathias Niepert
[Oral @ MLMP, ICLR 2025] [Project] [arXiv] [OpenReview] [ICLR.CC] [Bibtex]
Active Learning for Neural PDE Solvers
Daniel Musekamp, Marimuthu Kalimuthu, David Holzmüller, Makoto Takamoto, Mathias Niepert
[NeurIPS-W 2024, ICLR 2025] [arXiv] [ICLR.CC] [Code] [Bibtex]
Vectorized Conditional Neural Fields (VCNeF): A Framework for Solving Time-dependent Parametric Partial Differential Equations (PDEs)
Jan Hagnberger, Marimuthu Kalimuthu, Mathias Niepert
[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
Aditya Mogadala, Marimuthu Kalimuthu, Dietrich Klakow
JAIR 2021 [arXiv] [Bibtex]
Fusion Models for Improved Image Captioning
Marimuthu Kalimuthu, Aditya Mogadala, Marius Mosbach, Dietrich Klakow
ICPR 2021 [arXiv] [Bibtex]
A Competitive Deep Neural Network Approach for the ImageCLEFmed Caption 2020 Task
Marimuthu Kalimuthu, Fabrizio Nunnari, Daniel Sonntag
ImageCLEF 2020 [arXiv] [Bibtex]
Incremental Domain Adaptation for Neural Machine Translation in Low-Resource Settings
Marimuthu Kalimuthu, Michael Barz, Daniel Sonntag
ACL 2019 [Bibtex]

Teaching Experience

@ University of Stuttgart, Vaihingen Campus

Advanced Seminar: Deep Learning for the Sciences
Co-organizer with Mathias Niepert, Universität Stuttgart, Summer 2024

Advanced Seminar: Deep Learning for the Sciences
Co-organizer with Mathias Niepert, Universität Stuttgart, Winter 2023/24

Advanced Seminar: Deep Learning for the Sciences
Co-organizer with Mathias Niepert, Universität Stuttgart, Summer 2023

Advanced Seminar: Machine Learning in the Sciences
Co-organizer with Mathias Niepert, Universität Stuttgart, Winter 2022/23

Introduction to Artificial Intelligence
Teaching Assistant, Universität Stuttgart, Winter 2022/23

@ Saarland Informatics Campus (SIC), Saarland University

Neural Networks: Theory and Implementation
Tutor, Universität des Saarlandes, Winter 2021/22

Neural Networks: Implementation and Application
Tutor, Universität des Saarlandes, Winter 2018/19

Statistical Natural Language Processing (SNLP)
Tutor, Universität des Saarlandes, Summer 2018

Neural Networks: Implementation and Application
Tutor, Universität des Saarlandes, Winter 2017/18

Pet Projects

Community Engagement

Interested in Machine Learning for Science and Simulations?

Academic Service

Journal Reviewer

Program Committee Member

Unistuttgart
SIC
UdS
MPIInf
DFKI
MLS
KI-US
SimTech
IMPRS-IS
SimTech