End-To-End Source Separation With Adaptive Front-Ends. - Shrikant Venkataramani; Jonah Casebeer; Paris Smaragdis (ACSSC, 2018)

Verbal Protest Recognition in Children with Autism. - Jonah Casebeer; Hillol Sarker; Murtaza Dhuliawala; Nicholas Fay; Mary Pietrowicz; Amar Das (ICASSP, 2018)

Multi-View Networks for Denoising of Arbitrary Numbers of Channels. - Jonah Casebeer; Brian Luc; Paris Smaragdis (IWAENC, 2018)

Cocktails, but no Party: Multipath-Enabled Private Audio. - Yu-Jeh Liu; Jonah Casebeer; Ivan Dokmanic (IWAENC, 2018)

Multi-view Networks for Multi-channel Audio Classification. - Jonah Casebeer; Zhepei Wang; Paris Smaragdis (ICASSP, 2019)

Multipath-enabled Private Audio with Noise. - Anadi Chaman; Yu-Jeh Liu; Jonah Casebeer; Ivan Dokmanic (ICASSP, 2019)

Dimensional Analysis of Laughter in Female Conversational Speech. - Mary Pietrowicz; Carla Agurto; Jonah Casebeer; Mark Hasegawa-Johnson; Karrie Karahalios; Guillermo A. Cecchi (ICASSP, 2019)

Deep Tensor Factorization for Spatially-Aware Scene Decomposition. - Jonah Casebeer; Michael Colomb; Paris Smaragdis (WASPAA, 2019)

Efficient Trainable Front-Ends for Neural Speech Enhancement. - Jonah Casebeer; Umut Isik; Shrikant Venkataramani; Arvindh Krishnaswamy (ICASSP, 2020)

Communication-Cost Aware Microphone Selection for Neural Speech Enhancement with Ad-Hoc Microphone Arrays. - Jonah Casebeer; Jamshed Kaikaus; Paris Smaragdis (ICASSP, 2021)

Enhancing into the Codec: Noise Robust Speech Coding with Vector-Quantized Autoencoders. - Jonah Casebeer; Vinjai Vale; Umut Isik; Jean-Marc Valin; Ritwik Giri; Arvindh Krishnaswamy (ICASSP, 2021)

Auto-DSP: Learning to Optimize Acoustic Echo Cancellers. - Jonah Casebeer; Nicholas J. Bryan; Paris Smaragdis (WASPAA, 2021)

Separate But Together: Unsupervised Federated Learning for Speech Enhancement from Non-IID Data. - Efthymios Tzinis; Jonah Casebeer; Zhepei Wang; Paris Smaragdis (WASPAA, 2021)

Sound Event Detection with Adaptive Frequency Selection. - Zhepei Wang; Jonah Casebeer; Adam Clemmitt; Efthymios Tzinis; Paris Smaragdis (WASPAA, 2021)

NICE-Beam: Neural Integrated Covariance Estimators for Time-Varying Beamformers. - Jonah Casebeer; Jacob Donley; Daniel Wong; Buye Xu; Anurag Kumar 003 (CoRR, 2021)

Meta-Learning for Adaptive Filters with higher-order Frequency Dependencies. - Junkai Wu; Jonah Casebeer; Nicholas J. Bryan; Paris Smaragdis (IWAENC, 2022)

Meta-AF: Meta-Learning for Adaptive Filters. - Jonah Casebeer; Nicholas J. Bryan; Paris Smaragdis (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

Meta-AF Echo Cancellation for Improved Keyword Spotting. - Jonah Casebeer; Junkai Wu; Paris Smaragdis (ICASSP, 2024)

Scaling Up Adaptive Filter Optimizers. - Jonah Casebeer; Nicholas J. Bryan; Paris Smaragdis (CoRR, 2024)

Presto! Distilling Steps and Layers for Accelerating Music Generation. - Zachary Novack; Ge Zhu; Jonah Casebeer; Julian J. McAuley; Taylor Berg-Kirkpatrick; Nicholas J. Bryan (ICLR, 2025)

REGEN: Learning Compact Video Embedding with (Re-)Generative Decoder. - Yitian Zhang; Long Mai; Aniruddha Mahapatra; David Bourgin; Yicong Hong; Jonah Casebeer; Feng Liu 015; Yun Fu (CoRR, 2025)

DRAGON: Distributional Rewards Optimize Diffusion Generative Models. - Yatong Bai; Jonah Casebeer; Somayeh Sojoudi; Nicholas J. Bryan (CoRR, 2025)

Learning to Upsample and Upmix Audio in the Latent Domain. - Dimitrios Bralios; Paris Smaragdis; Jonah Casebeer (CoRR, 2025)

Re-Bottleneck: Latent Re-Structuring for Neural Audio Autoencoders. - Dimitrios Bralios; Jonah Casebeer; Paris Smaragdis (CoRR, 2025)