Physics CS ML

resume, github

Workshop Papers

• Adib Hasan, Ileana Rugina, Alex Wang; Pruning for Protection: Increasing Jailbreak Resistance in Aligned LLMs Without Fine-Tuning; EMNLP 2024 Workshop BlackBoxNLP

Conference Papers

• Ileana Rugina, Rumen Dangovski, Li Jing, Preslav Nakov, Marin Soljačić; Data-Informed Global Sparseness in Attention Mechanisms for Deep Neural Networks; LREC-Coling 2024
• Ileana Rugina, Rumen Dangovski, Mark Veillette, Pooya Khorrami, Brian Cheung, Olga Simek, Marin Soljačić; Meta-Learning and Self-Supervised Pretraining for Storm Event Imagery Translation; IEEE High Performance Extreme Computing Conference 2023; earlier version presented at ICLR AI for Earth and Space Science Workshop 2022
• Pooya Khorrami, Olga Simek, Brian Cheung, Mark Veillette, Rumen Dangovski, Ileana Rugina, Marin Soljačić, Pulkit Agrawal; Adapting Deep Learning Models to New Meteorological Contexts Using Transfer Learning; IEEE International Conference on Big Data 2021

Class Projects

• Last Iterate Convergence of the EG Method for Variationally Coherent Min-Max Problems: Write-up, Slides
• Meta-learning for Multi-Task Symbolic Regression: Write-up, Slides, Code
• Physics-Inspired Phase-Coded Bayesian Neural Networks: Write-up

Notes

These notes contain direct excerpt from relevant papers/ lecture notes/ videos.

• Vector and Matrix norms
• Hopfield networks
• Non-Equilibrium stat mech
• Stat-mech Inspired Methods
• VAE
• Median of Means
• Diffusion Models
• GPU Puzzles