Article

Approximate Message Passing for Quantum State Tomography
Meaningful comparison between sets of observations often necessitates alignment or registration between them, and the resulting …
Cite arXiv
Procrustes Problems on Random Matrices
Meaningful comparison between sets of observations often necessitates alignment or registration between them, and the resulting …
Cite arXiv
Fibottention: Inceptive Visual Representation Learning with Diverse Attention Across Heads
Visual perception tasks are predominantly solved by Vision Transformer (ViT) architectures, which, despite their effectiveness, …
Cite Code arXiv
UnitNorm: Rethinking Normalization for Transformers in Time Series
Normalization techniques are crucial for enhancing Transformer models’ performance and stability in time series analysis tasks, yet …
Cite arXiv
A Quotient Property for Matrices with Heavy-Tailed Entries and its Application to Noise-Blind Compressed Sensing
For a large class of random matrices $A$ with i.i.d. entries we show that the $\ell_1$-quotient property holds with probability …
Cite arXiv