Weekly Meeting

JAN 15, 2026

Vedant Puri

https://github.com/vpuri3

Mechanical Engineering, Carnegie Mellon University

Advisors: Prof. Burak Kara, Prof. Jessica Zhang

Weekly meeting - 01/15/26

PROPOSED WORK

• Aim 1(a): 123
• Aim 1(b): 123
• Aim 2: 123

NEXT PAPER - ICML (Int'l conference of Machine Learning)

• ABC

PROGRESS

• 123
• 123
• 123

NEXT STEPS

• 123
• 123
• 123

Proposed aims

Aim 2: Causal self attention with FLARE

AIM 1(a): rank-adaptive

AIM 1(b): conditioning mechanism

• Will focus on this last. 

• Algorithm is prepared and ready for evaluation.
• No standardized benchmark suite. Evaluate in different modalities
  • Diffusion: image, video generation (Datta)
  • Time-series PDE problems

• Design inference algorithm (DONE) and write CUDA kernel (EASY)
• Design training algorithm and write GPU kernels (Vedant)
• Evaluate on language modeling applications

Proposed timeline

Notes

• Our algorithmic work is cut out and straightforward, which is good.
• Furthermore, the advantages of our methods are well laid out.
• However, learning several new domains (image/video, generation, language modeling, PDE timeseries) is hard.
• I'm spending considerable amount of time managing Datta.
  • His task last semester was well bounded (hyperparameter tuning)
  • This semester, I need him to write several evaluation suites for testing my algorithms on different domains.
  • Ensuring correctness and that best practices are followed requires constant input and deep interactions.