Mojtaba Valipour

According to our database, Mojtaba Valipour authored at least 12 papers between 2015 and 2025.

Collaborative distances:

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

2025

AGI for the Earth, the path, possibilities and how to evaluate intelligence of models that work with Earth Observation Data?

Mojtaba Valipour, Kelly Zheng, James Lowman, Spencer Szabados, Mike Gartner, Bobby H. Braswell

CoRR, August, 2025

2024

Symbolic Regression and Sequence Modelling with Conditional and Dynamic Language Models.

Mojtaba Valipour

PhD thesis, 2024

S2D: Sorted Speculative Decoding For More Efficient Deployment of Nested Large Language Models.

Parsa Kavehzadeh, Mohammadreza Pourreza, Mojtaba Valipour, Tinashu Zhu, Haoli Bai, Ali Ghodsi, Boxing Chen, Mehdi Rezagholizadeh

CoRR, 2024

SeeFar: Satellite Agnostic Multi-Resolution Dataset for Geospatial Foundation Models.

James Lowman, Kelly Liu Zheng, Roydon Fraser, Jesse Van Griensven The, Mojtaba Valipour

CoRR, 2024

QDyLoRA: Quantized Dynamic Low-Rank Adaptation for Efficient Large Language Model Tuning.

Hossein Rajabzadeh, Mojtaba Valipour, Tianshu Zhu, Marzieh S. Tahaei, Hyock Ju Kwon, Ali Ghodsi, Boxing Chen, Mehdi Rezagholizadeh

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

Sorted LLaMA: Unlocking the Potential of Intermediate Layers of Large Language Models for Dynamic Inference.

Parsa Kavehzadeh, Mojtaba Valipour, Marzieh S. Tahaei, Ali Ghodsi, Boxing Chen, Mehdi Rezagholizadeh

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2023

Sorted LLaMA: Unlocking the Potential of Intermediate Layers of Large Language Models for Dynamic Inference Using Sorted Fine-Tuning (SoFT).

Parsa Kavehzadeh, Mojtaba Valipour, Marzieh S. Tahaei, Ali Ghodsi, Boxing Chen, Mehdi Rezagholizadeh

CoRR, 2023

SortedNet, a Place for Every Network and Every Network in its Place: Towards a Generalized Solution for Training Many-in-One Neural Networks.

Mojtaba Valipour, Mehdi Rezagholizadeh, Hossein Rajabzadeh, Marzieh S. Tahaei, Boxing Chen, Ali Ghodsi

CoRR, 2023

DyLoRA: Parameter-Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation.

Mojtaba Valipour, Mehdi Rezagholizadeh, Ivan Kobyzev, Ali Ghodsi

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2021

Fine-Tuning and training of densenet for histopathology image representation using TCGA diagnostic slides.

Abtin Riasatian, Morteza Babaie, Danial Maleki, Shivam Kalra, Mojtaba Valipour, Sobhan Hemati, Manit Zaveri, Amir Safarpoor, Sobhan Shafiei, Mehdi Afshari, Maral Rasoolijaberi, Milad Sikaroudi, Mohd Adnan, Sultaan Shah, Charles Choi, Savvas Damaskinos, Clinton J. V. Campbell, Phedias Diamandis, Liron Pantanowitz, Hany Kashani, Ali Ghodsi, Hamid R. Tizhoosh

Medical Image Anal., 2021

SymbolicGPT: A Generative Transformer Model for Symbolic Regression.

Mojtaba Valipour, Bowen You, Maysum Panju, Ali Ghodsi

CoRR, 2021

2015

Assessing the role of AR-based content in improving learning performance considering Felder-Silverman learning style.

Maryam Tayefeh Mahmoudi, Kambiz Badie, Mojtaba Valipour

Proceedings of the International Conference on Interactive Collaborative Learning, 2015