Feature Level Fusion from Facial Attributes for Face Recognition. - Mohammad Rasool Izadi (CoRR, 2019)

Optimization of Graph Neural Networks with Natural Gradient Descent. - Mohammad Rasool Izadi; Yihao Fang; Robert Stevenson; Lizhen Lin (IEEE BigData, 2020)

Contrastive Representation Learning for Electroencephalogram Classification. - Mostafa Neo Mohsenvand; Mohammad Rasool Izadi; Pattie Maes (ML4H@NeurIPS, 2020)

Affinity Mixup for Weakly Supervised Sound Event Detection. - Mohammad Rasool Izadi; Robert Stevenson; Laura N. Kloepper (MLSP, 2021)

HiSSNet: Sound Event Detection and Speaker Identification via Hierarchical Prototypical Networks for Low-Resource Headphones. - N. Shashaank; Berker Banar; Mohammad Rasool Izadi; Jeremy Kemmerer; Shuo Zhang; Chuan-Che Jeff Huang (ICASSP, 2023)

Latent CLAP Loss for Better Foley Sound Synthesis. - Tornike Karchkhadze; Hassan Salami Kavaki; Mohammad Rasool Izadi; Bryce Irvin; Mikolaj Kegler; Ari Hertz; Shuo Zhang; Marko Stamenovic (EUSIPCO, 2024)

Towards Optimal Voice Disentanglement with Weak Supervision. - Mohammad Rasool Izadi; Yujia Yan; Shuo Zhang; Robert Stevenson (ICASSP, 2024)

"It os Okay to be Uncommon": Quantizing Sound Event Detection Networks on Hardware Accelerators with Uncommon Sub-Byte Support. - Yushu Wu; Xiao Quan; Mohammad Rasool Izadi; Chuan-Che Jeff Huang (ICASSP, 2024)

"It is okay to be uncommon": Quantizing Sound Event Detection Networks on Hardware Accelerators with Uncommon Sub-Byte Support. - Yushu Wu; Xiao Quan; Mohammad Rasool Izadi; Chuan-Che Jeff Huang (CoRR, 2024)

Multi-Track MusicLDM: Towards Versatile Music Generation with Latent Diffusion Model. - Tornike Karchkhadze; Mohammad Rasool Izadi; Ke Chen 021; Gérard Assayag; Shlomo Dubnov (CoRR, 2024)

Improving Source Extraction with Diffusion and Consistency Models. - Tornike Karchkhadze; Mohammad Rasool Izadi; Shuo Zhang (CoRR, 2024)

Simultaneous Music Separation and Generation Using Multi-Track Latent Diffusion Models. - Tornike Karchkhadze; Mohammad Rasool Izadi; Shlomo Dubnov (ICASSP, 2025)