Canonical convolutional neural networks. - Lokesh Veeramacheneni; Moritz Wolter; Reinhard Klein; Jochen Garcke (IJCNN, 2022)

A Benchmark for Out of Distribution Detection in Point Cloud 3D Semantic Segmentation. - Lokesh Veeramacheneni; Matias Valdenegro-Toro (CoRR, 2022)

Wavelet Packet Power Spectrum Kullback-Leibler Divergence: A New Metric for Image Synthesis. - Lokesh Veeramacheneni; Moritz Wolter; Juergen Gall (CoRR, 2023)

On the Stability of Neural Segmentation in Radiology. - Moritz Wolter; Lokesh Veeramacheneni; Bettina Baeßler; Ulrike I. Attenberger; Barbara D. Wichtmann (ESANN, 2024)

Fréchet Wavelet Distance: A Domain-Agnostic Metric for Image Generation. - Lokesh Veeramacheneni; Moritz Wolter; Hilde Kuehne; Juergen Gall (ICLR, 2025)

Position: More Rigorous Software Engineering Would Improve Reproducibility in Machine Learning Research. - Moritz Wolter; Lokesh Veeramacheneni (CoRR, 2025)

Enhancing Explainability with Multimodal Context Representations for Smarter Robots. - Anargh Viswanath; Lokesh Veeramacheneni; Hendrik Buschmeier (CoRR, 2025)