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math.ST2024
Higher-Order Graphon Theory: Fluctuations, Degeneracies, and Inference
Anirban Chatterjee, Soham Dan, Bhaswar B. Bhattacharya
Exchangeable random graphs, which include some of the most widely studied network models, have emerged as the mainstay of statistical network analysis in recent years. Graphons, wh…
cs.LG2024
On the generalization capacity of neural networks during generic multimodal reasoning
Takuya Ito, Soham Dan, Mattia Rigotti +2
The advent of the Transformer has led to the development of large language models (LLM), which appear to demonstrate human-like capabilities. To assess the generality of this class…