Lap-Based Video Frame Interpolation. - Tejas Jayashankar; Pierre Moulin; Thierry Blu; Christopher Gilliam (ICIP, 2019)

Detecting Audio Attacks on ASR Systems with Dropout Uncertainty. - Tejas Jayashankar; Jonathan Le Roux; Pierre Moulin (INTERSPEECH, 2020)

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 (ICASSP, 2022)

Self-Supervised Representations for Singing Voice Conversion. - Tejas Jayashankar; Jilong Wu; Leda Sari; David Kant; Vimal Manohar; Qing He (ICASSP, 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 (NeurIPS, 2023)

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 (ICASSP Workshops, 2024)

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)

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, 2025)