14 papers
Transformer Geometry Observatory TGO-IV: Developmental Topology Observatory
Kaustubh Kapil, Kishor P. Upla
Transformers have had a profound impact on the world of language processing and computer vision. As efforts to answer the million-dollar question of ``How does a Transformer learn?…
Transformer Geometry Observatory TGO-III: Semantic Geometry Observatory
Kaustubh Kapil, Kishor P. Upla
With the widespread adoption of Vision Transformers in modern AI, the need to analyze their inherent representational behavior has become increasingly important. While most existin…
SPARC-Net: A Spectral, Causality-Aware, and Hard-Constrained Physics-Informed Architecture for Stiff and Shock-Dominated Partial Differential Equations
Divyavardhan Singh, Dimple Sonone, Hammad Mohammad +1
The paper introduces SPARC-Net, a physics-informed neural network architecture that combines spectral encoding, causality-aware training, and hard constraints to improve the soluti…
Transformer Geometry Observatory TGO-II: Representational Similarity Observatory
Kaustubh Kapil, Kishor P. Upla
While Vision Transformers have achieved remarkable success across computer vision and language applications, the geometric evolution of their internal representations throughout tr…
Transformer Geometry Observatory TGO-I: Spectral Geometry Observatory
Kaustubh Kapil, Kishor P. Upla
Despite the widespread adoption of Vision Transformers (ViTs) and their success across numerous computer vision applications, the fundamental understanding of their dimensional and…
NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results
Zheng Chen, Kai Liu, Jue Gong +108
This paper presents the NTIRE 2025 image super-resolution (4) challenge, one of the associated competitions of the 10th NTIRE Workshop at CVPR 2025. The challenge aims to r…