Scholar
Iman Mirzadeh
Google Scholar ID: AjKbt44AAAAJ
Apple
Machine Learning
Deep Learning
Continual Learning
Large Language Models
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Citations & Impact
All-time
Citations
3,578
H-index
15
i10-index
18
Publications
20
Co-authors
16
list available
Contact
Email
hey@imirzadeh.me
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Publications
4 items
Barriers for Learning in an Evolving World: Mathematical Understanding of Loss of Plasticity
2025
Cited
0
The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity
2025
Cited
0
TiC-LM: A Web-Scale Benchmark for Time-Continual LLM Pretraining
2025
Cited
0
GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models
International Conference on Learning Representations · 2024
Cited
241
Resume (English only)
Academic Achievements
"GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models", ICLR 2025.
"OpenELM: An Efficient Language Model Family with Open Training and Inference Framework".
"LLM in a flash: Efficient Large Language Model Inference with Limited Memory", ACL 2024.
"ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models", ICLR 2024 [Oral].
"Wide Neural Networks Forget Less Catastrophically", ICML 2022.
"Linear Mode Connectivity in Multitask and Continual Learning", ICLR 2021.
"Understanding the Role of Training Regimes in Continual Learning", NeurIPS 2020 (abstract presented at ICML 2020 Workshop on Continual Learning).
Co-authors
16 total
Mehrdad Farajtabar
Research Scientist at Apple
Hassan Ghasemzadeh
Arizona State University
Razvan Pascanu
Google DeepMind
Hooman Shahrokhi
Washington State University
Oncel Tuzel
Apple
Co-author 6
Samy Bengio
Senior Director, AI and ML Research, Apple
Co-author 8
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