A physics-informed transformer neural operator for learning generalized solutions of initial boundary value problemsby Sumanth…
Training Physical Neural Networks for Analog In-Memory Computingby Yusuke Sakemi, Yuji Okamoto, Takashi Morie, Sou…
RingFormer: A Ring-Enhanced Graph Transformer for Organic Solar Cell Property Predictionby Zhihao Ding, Ting Zhang,…
A feature refinement module for light-weight semantic segmentation networkby Zhiyan Wang, Xin Guo, Song Wang,…
Learning Physics Informed Neural ODEs With Partial Measurementsby Paul Ghanem, Ahmet Demirkaya, Tales Imbiriba, Alireza…
DocVLM: Make Your VLM an Efficient Readerby Mor Shpigel Nacson, Aviad Aberdam, Roy Ganz, Elad…
From MLP to NeoMLP: Leveraging Self-Attention for Neural Fieldsby Miltiadis Kofinas, Samuele Papa, Efstratios GavvesFirst…
LatentQA: Teaching LLMs to Decode Activations Into Natural Languageby Alexander Pan, Lijie Chen, Jacob SteinhardtFirst…
A Deep Semantic Segmentation Network with Semantic and Contextual Refinementsby Zhiyan Wang, Deyin Liu, Lin…
DeepNose: An Equivariant Convolutional Neural Network Predictive Of Human Olfactory Perceptsby Sergey Shuvaev, Khue Tran,…