1 citations · 1 across the 5 of their papers we have counts for
5 papers
Enhancing Explainability with Multimodal Context Representations for Smarter Robots
Anargh Viswanath, Lokesh Veeramacheneni, Hendrik Buschmeier
Artificial Intelligence (AI) has significantly advanced in recent years, driving innovation across various fields, especially in robotics. Even though robots can perform complex ta…
More Rigorous Software Engineering Would Improve Reproducibility in Machine Learning Research
Moritz Wolter, Lokesh Veeramacheneni, Charles Tapley Hoyt
While experimental reproduction remains a pillar of the scientific method, we observe that the software best practices supporting the reproduction of machine learning ( ML ) resear…
Fréchet Wavelet Distance: A Domain-Agnostic Metric for Image Generation
Lokesh Veeramacheneni, Moritz Wolter, Hildegard Kuehne +1
Modern metrics for generative learning like Fréchet Inception Distance (FID) and DINOv2-Fréchet Distance (FD-DINOv2) demonstrate impressive performance. However, they suffer from v…
A Benchmark for Out of Distribution Detection in Point Cloud 3D Semantic Segmentation
Lokesh Veeramacheneni, Matias Valdenegro-Toro
Safety-critical applications like autonomous driving use Deep Neural Networks (DNNs) for object detection and segmentation. The DNNs fail to predict when they observe an Out-of-Dis…
Canonical convolutional neural networks
Lokesh Veeramacheneni, Moritz Wolter, Reinhard Klein +1
We introduce canonical weight normalization for convolutional neural networks. Inspired by the canonical tensor decomposition, we express the weight tensors in so-called canonical…