SampleRNN: An Unconditional End-to-End Neural Audio Generation Model. - Soroush Mehri; Kundan Kumar; Ishaan Gulrajani; Rithesh Kumar; Shubham Jain; Jose Sotelo; Aaron C. Courville; Yoshua Bengio (ICLR (Poster), 2017)

ObamaNet: Photo-realistic lip-sync from text. - Rithesh Kumar; Jose Sotelo; Kundan Kumar; Alexandre de Brébisson; Yoshua Bengio (CoRR, 2018)

Harmonic Recomposition using Conditional Autoregressive Modeling. - Kyle Kastner; Rithesh Kumar; Tim Cooijmans; Aaron C. Courville (CoRR, 2018)

MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis. - Kundan Kumar; Rithesh Kumar; Thibault de Boissiere; Lucas Gestin; Wei Zhen Teoh; Jose Sotelo; Alexandre de Brébisson; Yoshua Bengio; Aaron C. Courville (NeurIPS, 2019)

Maximum Entropy Generators for Energy-Based Models. - Rithesh Kumar; Anirudh Goyal; Aaron C. Courville; Yoshua Bengio (CoRR, 2019)

NU-GAN: High resolution neural upsampling with GAN. - Rithesh Kumar; Kundan Kumar; Vicki Anand; Yoshua Bengio; Aaron C. Courville (CoRR, 2020)

Chunked Autoregressive GAN for Conditional Waveform Synthesis. - Max Morrison; Rithesh Kumar; Kundan Kumar; Prem Seetharaman; Aaron C. Courville; Yoshua Bengio (ICLR, 2022)

VampNet: Music Generation via Masked Acoustic Token Modeling. - Hugo Flores García; Prem Seetharaman; Rithesh Kumar; Bryan Pardo (ISMIR, 2023)

High-Fidelity Audio Compression with Improved RVQGAN. - Rithesh Kumar; Prem Seetharaman; Alejandro Luebs; Ishaan Kumar; Kundan Kumar (NeurIPS, 2023)

DMDSpeech: Distilled Diffusion Model Surpassing The Teacher in Zero-shot Speech Synthesis via Direct Metric Optimization. - Yingahao Aaron Li; Rithesh Kumar; Zeyu Jin (CoRR, 2024)

SpeakEasy: Enhancing Text-to-Speech Interactions for Expressive Content Creation. - Stephen Brade; Sam Anderson; Rithesh Kumar; Zeyu Jin; Anh Truong (CHI, 2025)

DiTSE: High-Fidelity Generative Speech Enhancement via Latent Diffusion Transformers. - Heitor R. Guimarães; Jiaqi Su; Rithesh Kumar; Tiago H. Falk; Zeyu Jin (CoRR, 2025)