Lokesh Veeramacheneni

I am a PhD student at Universität Bonn, advised by Prof. Dr. Juergen Gall and currently employed by HPC/A-Lab. My research centers on computer vision, with focus on Diffusion models and efficient fine-tuning of vision models. I collaborate with researchers including Prof. Dr. Hilde Kuehne and Dr. Moritz Wolter.

Previously, I worked as a Software Developer at RE: GmbH with focus on Ruby on Rails and as a SAP ABAP developer at Infosys Ltd. I hold Master of Science degree in Autonomous Systems from Hochschule Bonn-Rhein-Sieg, Germany and Bachelors in Electronics and Communications Engineering from KL University, India.

Email / Scholar / Github

Publications

	Canonical Rank Adaptation (CaRA): An Efficient Fine-Tuning Strategy for Vision Transformers Lokesh Veeramacheneni, Moritz Wolter, Hilde Kuehne, Juergen Gall Forty-Second International Conference on Machine Learning, ICML 2025 Project Page / Paper / Code
	More Rigorous Software Engineering Would Improve Reproducibility in Machine Learning Research Moritz Wolter, Lokesh Veeramacheneni, Charles Tapley Hoyt arXiv, 2025 Paper / Code
	Fréchet Wavelet Distance (FWD): A Domain-Agnostic Metric for Image Generation Lokesh Veeramacheneni, Moritz Wolter, Hilde Kuehne, Juergen Gall Thirteenth International Conference on Learning Representations, ICLR 2025 Project Page / Paper / Code / Pip
	On the Stability of Neural Segmentation in Radiology Moritz Wolter, Lokesh Veeramacheneni, Bettina Baeßler, Ulrike I Attenberger, Barbara D Wichtmann European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2024 Paper / Code
	Canonical Convolutional Neural Networks Lokesh Veeramacheneni, Moritz Wolter, Reinhard Klein, Jochen Garcke International Joint Conference on Neural Networks, IJCNN 2022 Paper / Code
	Fabrication of highly sensitive and selective nanocomposite film based on CuNPs/fullerene-C₆₀/MWCNTs: An electrochemical nanosensor for trace recognition of paracetamol Pradeep Kumar Brahman, Lakkavarapu Suresh, Lokesh Veeramacheneni, Syed Nizamuddin Analytica Chemica Acta, Volume 917, 2016, Pages 107-116 Paper

Workshops

	Enhancing Explainability with Multimodal Context Representations for Smarter Robots Anargh Viswanath, Lokesh Veeramacheneni, Hendrik Buschmeier 3rd Workshop on Explainability in HRC, 2025 Paper * denotes equal contribution
	A Benchmark for Out of Distribution Detection in Point Cloud 3D Semantic Segmentation Lokesh Veeramacheneni, Matias Valdenegro Toro NeurIPS Workshop on Robot Learning: Trustworthy Robotics, 2022 Paper

Teaching

University of Bonn	Part of tutoring team for - Foundations of Machine Learning SoSe23, WiSe23, WiSe24, WiSe25 - Foundations of Machine Learning for Principal Investigators WiSe23, SoSe25 - Advanced Machine Learning SoSe24, SoSe25 - C++ and CUDA Programming for Machine Learning SoSe25
Hochschule Bonn-Rhein-Sieg	C++ section in Foundation course WiSe19, SoSe20, WiSe20, SoSe21

Website design adopted from Jon Barron.

Publications

Workshops

Teaching

University of Bonn

Hochschule Bonn-Rhein-Sieg