Tejas Jayashankar

According to our database, Tejas Jayashankar authored at least 15 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

The Radio-Frequency Transformer for Signal Separation.

Egor Lifar, Semyon Savkin, Rachana Madhukara, Tejas Jayashankar, Yury Polyanskiy, Gregory W. Wornell

CoRR, March, 2026

GSRM: Generative Speech Reward Model for Speech RLHF.

Maohao Shen, Tejas Jayashankar, Osama Hanna, Naoyuki Kanda, Yancheng Wang, Katerina Zmolíková, Ruiming Xie, Niko Moritz, Anfeng Xu, Yashesh Gaur, Gregory W. Wornell, Qing He, Jilong Wu

CoRR, February, 2026

2025

Advancing AI Challenges for the United States Department of the Air Force.

Christian Prothmann, Vijay Gadepally, Jeremy Kepner, Koley Borchard, Luca Carlone, Zachary Folcik, J. Daniel Griffith, Michael Houle, Jonathan P. How, Nathan Hughes, Ifueko Igbinedion, Hayden Jananthan, Tejas Jayashankar, Michael Jones, Sertac Karaman, Binoy G. Kurien, Alejandro Lancho, Giovanni Lavezzi, Gary C. F. Lee, Charles E. Leiserson, Richard Linares, Lindsey McEvoy, Peter Michaleas, Chasen Milner, Alex Pentland, Yury Polyanskiy, Jovan Popovich, Jeffrey Price, Tim W. Reid, Stephanie Riley, Siddharth Samsi, Peter Saunders, Olga Simek, Mark S. Veillette, Amir Weiss, Gregory W. Wornell, Daniela Rus, Scott T. Ruppel

CoRR, November, 2025

Score-of-Mixture Training: Training One-Step Generative Models Made Simple via Score Estimation of Mixture Distributions.

Tejas Jayashankar, Jongha Jon Ryu, Gregory W. Wornell

CoRR, February, 2025

Correction to "RF Challenge: The Data-Driven Radio Frequency Signal Separation Challenge".

Alejandro Lancho, Amir Weiss, Gary C. F. Lee, Tejas Jayashankar, Binoy G. Kurien, Yury Polyanskiy, Gregory W. Wornell

IEEE Open J. Commun. Soc., 2025

RF Challenge: The Data-Driven Radio Frequency Signal Separation Challenge.

Alejandro Lancho, Amir Weiss, Gary C. F. Lee, Tejas Jayashankar, Binoy G. Kurien, Yury Polyanskiy, Gregory W. Wornell

IEEE Open J. Commun. Soc., 2025

Blind Beamforming for Interference Suppression Using Pre-trained Diffusion Models.

Takayuki Kitamura, Tejas Jayashankar, Gregory W. Wornell

Proceedings of the IEEE Military Communications Conference, 2025

Score-of-Mixture Training: One-Step Generative Model Training Made Simple via Score Estimation of Mixture Distributions.

Tejas Jayashankar, Jongha Jon Ryu, Gregory W. Wornell

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Advancing AI Challenges for the United States Department of the Air Force^*.

Christian Prothmann, Vijay Gadepally, Jeremy Kepner, Koley Borchard, Luca Carlone, Zachary Folcik, J. Daniel Griffith, Michael Houle, Jonathan P. How, Nathan Hughes, Ifueko Igbinedion, Hayden Jananthan, Tejas Jayashankar, Michael Jones, Sertac Karaman, Binoy G. Kurien, Alejandro Lancho, Giovanni Lavezzi, Gary C. F. Lee, Charles E. Leiserson, Richard Linares, Lindsey McEvoy, Peter Michaleas, Chasen Milner, Alex Pentland, Yury Polyanskiy, Jovan Popovich, Jeffrey Price, Tim W. Reid, Stephanie Riley, Siddharth Samsi, Peter Saunders, Olga Simek, Mark S. Veillette, Amir Weiss, Gregory W. Wornell, Daniela Rus, Scott T. Ruppel

Proceedings of the IEEE High Performance Extreme Computing Conference, 2025

2024

The Data-Driven Radio Frequency Signal Separation Challenge.

Tejas Jayashankar, Binoy G. Kurien, Alejandro Lancho, Gary C. F. Lee, Yury Polyanskiy, Amir Weiss, Gregory W. Wornell

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Score-based Source Separation with Applications to Digital Communication Signals.

Tejas Jayashankar, Gary C. F. Lee, Alejandro Lancho, Amir Weiss, Yury Polyanskiy, Gregory W. Wornell

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Self-Supervised Representations for Singing Voice Conversion.

Tejas Jayashankar, Jilong Wu, Leda Sari, David Kant, Vimal Manohar, Qing He

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Architecture for Variable Bitrate Neural Speech Codec with Configurable Computation Complexity.

Tejas Jayashankar, Thilo Köhler, Kaustubh Kalgaonkar, Zhiping Xiu, Jilong Wu, Ju Lin, Prabhav Agrawal, Qing He

Proceedings of the IEEE International Conference on Acoustics, 2022

2020

Detecting Audio Attacks on ASR Systems with Dropout Uncertainty.

Tejas Jayashankar, Jonathan Le Roux, Pierre Moulin

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

2019

Lap-Based Video Frame Interpolation.

Tejas Jayashankar, Pierre Moulin, Thierry Blu, Christopher Gilliam

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019