Lokesh Veeramacheneni

Orcid: 0009-0003-6545-2083

According to our database1, Lokesh Veeramacheneni authored at least 7 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2025
Enhancing Explainability with Multimodal Context Representations for Smarter Robots.
CoRR, March, 2025

Position: More Rigorous Software Engineering Would Improve Reproducibility in Machine Learning Research.
CoRR, February, 2025

Fréchet Wavelet Distance: A Domain-Agnostic Metric for Image Generation.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
On the Stability of Neural Segmentation in Radiology.
Proceedings of the 32nd European Symposium on Artificial Neural Networks, 2024

2023
Wavelet Packet Power Spectrum Kullback-Leibler Divergence: A New Metric for Image Synthesis.
CoRR, 2023

2022
A Benchmark for Out of Distribution Detection in Point Cloud 3D Semantic Segmentation.
CoRR, 2022

Canonical convolutional neural networks.
Proceedings of the International Joint Conference on Neural Networks, 2022


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