Marimuthu Kalimuthu

Researcher · Scientific Machine Learning · ML4Physics · ML4Science
University of Stuttgart IMPRS-IS Bosch Research PyTorch SimTech

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).

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), Astrobiology, 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] [OpenReview] [ICLR.CC] [Bibtex]
[J2C certified @ TMLR 2025] [Project] [OpenReview] [arXiv] [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

University of Stuttgart MLS SimTech IMPRS-IS Bosch Research MPI-Inf SIC Saarland University DFKI