Marin Soljacic

Joined

December 2017

Names

Marin Soljacic

Emails

****@mit.edu (Confirmed)

Personal Links

Career & Education History

Full Professor

Massachusetts Institute of Technology (mit.edu)

2010 – 2021

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

L$^2$M: Mutual Information Scaling Law for Long-Context Language Modeling
Zhuo Chen, Oriol Mayné i Comas, Zhuotao Jin, Di Luo, Marin Soljacic
- NeurIPS 2025 poster
- Readers: Everyone
KAN: Kolmogorov–Arnold Networks
Ziming Liu, Yixuan Wang, Sachin Vaidya, Fabian Ruehle, James Halverson, Marin Soljacic, Thomas Y. Hou, Max Tegmark
- ICLR 2025 Oral
- Readers: Everyone
QuanTA: Efficient High-Rank Fine-Tuning of LLMs with Quantum-Informed Tensor Adaptation
Zhuo Chen, Rumen Dangovski, Charlotte Loh, Owen M Dugan, Di Luo, Marin Soljacic
- NeurIPS 2024 poster
- Readers: Everyone
OccamLLM: Fast and Exact Language Model Arithmetic in a Single Step
Owen M Dugan, Donato M. Jiménez Benetó, Charlotte Loh, Zhuo Chen, Rumen Dangovski, Marin Soljacic
- NeurIPS 2024 poster
- Readers: Everyone
TENG: Time-Evolving Natural Gradient for Solving PDEs With Deep Neural Nets Toward Machine Precision
Zhuo Chen, Jacob McCarran, Esteban Vizcaino, Marin Soljacic, Di Luo
- ICML 2024 Poster
- Readers: Everyone
Phase Transitions in Contrastive Learning
Ali Cy, Anugrah Chemparathy, Michael Han, Rumen Dangovski, Peter Y. Lu, Charlotte Loh, Marin Soljacic
- Submitted to ICLR 2024
- Readers: Everyone
Contextualizing Enhances Gradient Based Meta Learning
Evan Vogelbaum, Rumen Dangovski, Li Jing, Marin Soljacic
- 16 May 2023
- OpenReview Archive Direct Upload
- Readers: Everyone
ANTN: Bridging Autoregressive Neural Networks and Tensor Networks for Quantum Many-Body Simulation
Zhuo Chen, Laker Newhouse, Eddie Chen, Di Luo, Marin Soljacic
- NeurIPS 2023 poster
- Readers: Everyone
QuACK: Accelerating Gradient-Based Quantum Optimization with Koopman Operator Learning
Di Luo, Jiayu Shen, Rumen Dangovski, Marin Soljacic
- NeurIPS 2023 spotlight
- Readers: Everyone
Learning to Optimize Quasi-Newton Methods
Isaac Liao, Rumen Dangovski, Jakob Nicolaus Foerster, Marin Soljacic
- Accepted by TMLR
- Readers: Everyone

View all 25 publications

Co-Authors

View all 51 co-authors