Mohammadreza Armandpour

According to our database, Mohammadreza Armandpour authored at least 13 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

TiC-LM: A Web-Scale Benchmark for Time-Continual LLM Pretraining.

Jeffrey Li, Mohammadreza Armandpour, Iman Mirzadeh, Sachin Mehta, Vaishaal Shankar, Raviteja Vemulapalli, Samy Bengio, Oncel Tuzel, Mehrdad Farajtabar, Hadi Pouransari, Fartash Faghri

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2023

Re-imagine the Negative Prompt Algorithm: Transform 2D Diffusion into 3D, alleviate Janus problem and Beyond.

Mohammadreza Armandpour, Ali Sadeghian, Huangjie Zheng, Amir Sadeghian, Mingyuan Zhou

CoRR, 2023

Gluformer: Transformer-based Personalized glucose Forecasting with uncertainty quantification.

Renat Sergazinov, Mohammadreza Armandpour, Irina Gaynanova

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Deep Spatio-Temporal Wind Power Forecasting.

Jiangyuan Li, Mohammadreza Armandpour

Proceedings of the IEEE International Conference on Acoustics, 2022

SYNT++: Utilizing Imperfect Synthetic Data to Improve Speech Recognition.

Ting-Yao Hu, Mohammadreza Armandpour, Ashish Shrivastava, Jen-Hao Rick Chang, Hema Koppula, Oncel Tuzel

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Bayesian Graph Contrastive Learning.

Arman Hasanzadeh, Mohammadreza Armandpour, Ehsan Hajiramezanali, Mingyuan Zhou, Nick Duffield, Krishna Narayanan

CoRR, 2021

Convex Polytope Trees and its Application to VAE.

Mohammadreza Armandpour, Ali Sadeghian, Mingyuan Zhou

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Deep Personalized Glucose Level Forecasting Using Attention-based Recurrent Neural Networks.

Mohammadreza Armandpour, Brian Kidd, Yu Du, Jianhua Z. Huang

Proceedings of the International Joint Conference on Neural Networks, 2021

Partition-Guided GANs.

Mohammadreza Armandpour, Ali Sadeghian, Chunyuan Li, Mingyuan Zhou

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

ChronoR: Rotation Based Temporal Knowledge Graph Embedding.

Ali Sadeghian, Mohammadreza Armandpour, Anthony M. Colas, Daisy Zhe Wang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Convex Polytope Trees.

Mohammadreza Armandpour, Mingyuan Zhou

CoRR, 2020

2019

DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs.

Ali Sadeghian, Mohammadreza Armandpour, Patrick Ding, Daisy Zhe Wang

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Robust Negative Sampling for Network Embedding.

Mohammadreza Armandpour, Patrick Ding, Jianhua Z. Huang, Xia Hu

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019