Baraniuk, Richard G.

Beyond Nyquist: Efficient Sampling of Sparse Bandlimited Signals

Tropp, J. A., Laska, J. N., Duarte, M. F., Romberg, J. K., & Baraniuk, R. G. (2010) · IEEE Transactions on Information Theory

Sparse and Compressive Sensing TechniquesMathematical Analysis and Transform Methods

Cited by 1,089

Material parameter estimation with terahertz time-domain spectroscopy

Dorney, T. D., Baraniuk, R. G., & Mittleman, D. M. (2001) · Journal of the Optical Society of America A

Terahertz technology and applicationsThermography and Photoacoustic Techniques

Cited by 807

Analog-to-Information Conversion via Random Demodulation

Kirolos, S., Laska, J., Wakin, M., Duarte, M., Baron, D., Ragheb, T., Massoud, Y., & Baraniuk, R. (2006) · 2006 IEEE Dallas/CAS Workshop on Design, Applications, Integration and Software

Sparse and Compressive Sensing TechniquesMathematical Analysis and Transform Methods

Cited by 393

Gas sensing using terahertz time-domain spectroscopy

Mittleman, D. M., Jacobsen, R. H., Neelamani, R., Baraniuk, R. G., & Nuss, M. C. (1998) · Applied Physics B: Lasers and Optics

Terahertz technology and applicationsSpectroscopy and Laser Applications

Cited by 379

Self-consuming generative models go MAD

Casco-Rodriguez, J., Alemohammad, S., Luzi, L., Imtiaz, A., Babaei, H., LeJeune, D., Siahkoohi, A., & Baraniuk, R. (2023) · LatinX in AI at Neural Information Processing Systems Conference 2023

Generative Adversarial Networks and Image SynthesisAdversarial Robustness in Machine Learning

Cited by 83

Mathematical Language Processing: Automatic Grading and Feedback for Open Response Mathematical Questions

Lan, A. S., Vats, D., Waters, A. E., & Baraniuk, R. G. (2015) · Proceedings of the Second (2015) ACM Conference on Learning @ Scale

Online Learning and AnalyticsEducational Technology and Assessment

Cited by 60

Self-consuming generative models go MAD

Alemohammad, S., Casco-Rodriguez, J., Luzi, L., Humayun, A. I., Babaei, H., LeJeune, D., Siahkoohi, A., & Baraniuk, R. G. (2023) · arXiv

Topic ModelingAdversarial Robustness in Machine Learning

Cited by 44

“Math word problem generation with mathematical consistency and problem context constraints,”

Wang, Z., Lan, A., & Baraniuk, R. (2021) · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 39

CLASS: A Design Framework for Building Intelligent Tutoring Systems Based on Learning Science principles

Sonkar, S., Liu, N., Mallick, D., & Baraniuk, R. (2023) · Findings of the Association for Computational Linguistics: EMNLP 2023

Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Education

Cited by 35