Mohammad Rasool Izadi

According to our database, Mohammad Rasool Izadi authored at least 11 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Simultaneous Music Separation and Generation Using Multi-Track Latent Diffusion Models.

Tornike Karchkhadze, Mohammad Rasool Izadi, Shlomo Dubnov

CoRR, 2024

Multi-Track MusicLDM: Towards Versatile Music Generation with Latent Diffusion Model.

Tornike Karchkhadze, Mohammad Rasool Izadi, Ke Chen, Gérard Assayag, Shlomo Dubnov

CoRR, 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

"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

Proceedings of the IEEE International Conference on Acoustics, 2024

Towards Optimal Voice Disentanglement with Weak Supervision.

Mohammad Rasool Izadi, Yujia Yan, Shuo Zhang, Robert Stevenson

Proceedings of the IEEE International Conference on Acoustics, 2024

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

Proceedings of the 32nd European Signal Processing Conference, 2024

2023

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

Proceedings of the IEEE International Conference on Acoustics, 2023

2021

Affinity Mixup for Weakly Supervised Sound Event Detection.

Mohammad Rasool Izadi, Robert Stevenson, Laura N. Kloepper

Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021

2020

Contrastive Representation Learning for Electroencephalogram Classification.

Mostafa Neo Mohsenvand, Mohammad Rasool Izadi, Pattie Maes

Proceedings of the Machine Learning for Health Workshop, 2020

Optimization of Graph Neural Networks with Natural Gradient Descent.

Mohammad Rasool Izadi, Yihao Fang, Robert Stevenson, Lizhen Lin

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Feature Level Fusion from Facial Attributes for Face Recognition.

Mohammad Rasool Izadi

CoRR, 2019