Clark, Ronald

Deepvo: towards end-to-end visual odometry with deep recurrent convolutional neural networks

Wang, S., Clark, R., Wen, H., & Trigoni, N. (2017) · 2017 IEEE International Conference on Robotics and Automation (ICRA)

Robotics and Sensor-Based LocalizationAdvanced Vision and Imaging

Cited by 970

Measuring what Matters: Construct Validity in Large Language Model Benchmarks

Bean, A. M., Kearns, R. O., Romanou, A., Hafner, F. S., Mayne, H., Batzner, J., Foroutan Eghlidi, N., Schmitz, C., Korgul, K., Batra, H., et al. (2025) · Advances in Neural Information Processing Systems 38

Topic ModelingNatural Language Processing Techniques

Cited by 110

Scalable Uncertainty for Computer Vision With Functional Variational Inference

Carvalho, E. D. C., Clark, R., Nicastro, A., & Kelly, P. H. J. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Gaussian Processes and Bayesian InferenceAdvanced Neural Network Applications

Cited by 14

Large Language Monkeys: Scaling Inference Compute with Repeated Sampling

Brown, B., Juravsky, J., Ehrlich, R., Clark, R., Le, Q. V., Ré, C., & Mirhoseini, A. (2024) · arXiv

Topic ModelingSoftware Engineering Research

Cited by 14