Showing 1–20 of 23 results
/ Date/ Name
Jun 4, 2025HMAR: Efficient Hierarchical Masked Auto-Regressive Image GenerationJan 25, 2023Modelling Long Range Dependencies in $N$D: From Task-Specific to a General Purpose CNNFeb 10, 2023DNArch: Learning Convolutional Neural Architectures by BackpropagationNov 18, 2019Co-Attentive Equivariant Neural Networks: Focusing Equivariance On Transformations Co-Occurring In DataJun 9, 2020Wavelet Networks: Scale-Translation Equivariant Learning From Raw Time-SeriesJun 7, 2022Towards a General Purpose CNN for Long Range Dependencies in $N$DFeb 7, 2020Attentive Group Equivariant Convolutional NetworksNov 14, 2024The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive BiasesFeb 4, 2021CKConv: Continuous Kernel Convolution For Sequential DataOct 2, 2020Group Equivariant Stand-Alone Self-Attention For VisionOct 19, 2021Learning Partial Equivariances from DataJul 22, 2023Learned Gridification for Efficient Point Cloud ProcessingOct 15, 2021FlexConv: Continuous Kernel Convolutions with Differentiable Kernel SizesDec 19, 2023Self-Supervised Detection of Perfect and Partial Input-Dependent SymmetriesMar 18, 2025Cosmos-Reason1: From Physical Common Sense To Embodied ReasoningOct 25, 2021Exploiting Redundancy: Separable Group Convolutional Networks on Lie GroupsOct 4, 2023Fast, Expressive SE$(n)$ Equivariant Networks through Weight-Sharing in Position-Orientation SpaceDec 12, 2024Meshtron: High-Fidelity, Artist-Like 3D Mesh Generation at ScaleFeb 25, 2025Systems and Algorithms for Convolutional Multi-Hybrid Language Models at ScaleMay 19, 2025RECON: Robust symmetry discovery via Explicit Canonical Orientation Normalization