3 citations · 3 across the 4 of their papers we have counts for
3 papers · 1 filter
Memorization to Generalization: Emergence of Diffusion Models from Associative Memory
Bao Pham, Gabriel Raya, Matteo Negri +3
Dense Associative Memories (DenseAMs) are generalizations of Hopfield networks, which have superior information storage capacity and can store training data points (memories) at lo…
Triplet Interaction Improves Graph Transformers: Accurate Molecular Graph Learning with Triplet Graph Transformers
Md Shamim Hussain, Mohammed J. Zaki, Dharmashankar Subramanian
Graph transformers typically lack third-order interactions, limiting their geometric understanding which is crucial for tasks like molecular geometry prediction. We propose the Tri…
Associative Learning for Network Embedding
Yuchen Liang, Dmitry Krotov, Mohammed J. Zaki
The network embedding task is to represent the node in the network as a low-dimensional vector while incorporating the topological and structural information. Most existing approac…