conftrace_

equivariant architecture

11 papers

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Co-occurring keywords · papers mentioning both

neural network (2) molecular dynamics (2) diffusion model (2) geometric deep learning (2) equivariant neural network (1) neural field (1) camera pose (1) image warping (1) equivariance constraint (1) pde solving (1)

Papers

On the Ability of Deep Networks to Learn Symmetries from Data: A Neural Kernel Theory JMLR 2025 RESfM: Robust Deep Equivariant Structure from Motion ICLR 2025 Space-Time Continuous PDE Forecasting using Equivariant Neural Fields NeurIPS 2024 Symmetries in Overparametrized Neural Networks: A Mean Field View NeurIPS 2024 Text2Model: Text-based Model Induction for Zero-shot Image Classification EMNLP 2024 Are Equivariant Equilibrium Approximators Beneficial? ICML 2023 DiffMD: A Geometric Diffusion Model for Molecular Dynamics Simulations AAAI 2023 Equivariant Architectures for Learning in Deep Weight Spaces ICML 2023 Implicit Transfer Operator Learning: Multiple Time-Resolution Models for Molecular Dynamics NeurIPS 2023 Equivariant Subgraph Aggregation Networks ICLR 2022 Warped Convolutions: Efficient Invariance to Spatial Transformations ICML 2017