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Inductive Bias

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TitleStatusHype
π^3: Scalable Permutation-Equivariant Visual Geometry Learning—0
What Has a Foundation Model Found? Using Inductive Bias to Probe for World Models—0
Learning Robust Stereo Matching in the Wild with Selective Mixture-of-ExpertsCode2
AGTCNet: A Graph-Temporal Approach for Principled Motor Imagery EEG ClassificationCode1
Learning from Anatomy: Supervised Anatomical Pretraining (SAP) for Improved Metastatic Bone Disease Segmentation in Whole-Body MRI—0
Enhancing Image Restoration Transformer via Adaptive Translation Equivariance—0
ResNets Are Deeper Than You Think—0
Directed Acyclic Graph Convolutional Networks—0
The Less You Depend, The More You Learn: Synthesizing Novel Views from Sparse, Unposed Images without Any 3D Knowledge—0
Segment This Thing: Foveated Tokenization for Efficient Point-Prompted SegmentationCode2
BioLangFusion: Multimodal Fusion of DNA, mRNA, and Protein Language Models—0
4DGT: Learning a 4D Gaussian Transformer Using Real-World Monocular Videos—0
Parameter-free approximate equivariance for tasks with finite group symmetryCode0
Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery—0
Positional Encoding meets Persistent Homology on GraphsCode0
The Hippocampal Place Field Gradient: An Eigenmode Theory Linking Grid Cell Projections to Multiscale Learning—0
Information Locality as an Inductive Bias for Neural Language ModelsCode0
Relational reasoning and inductive bias in transformers trained on a transitive inference task—0
Learning to cluster neuronal functionCode0
Rodrigues Network for Learning Robot Actions—0
Disentangling Granularity: An Implicit Inductive Bias in Factorized VAEs—0
Characterising the Inductive Biases of Neural Networks on Boolean Data—0
Multi-Modal View Enhanced Large Vision Models for Long-Term Time Series Forecasting—0
Equivariant Spherical Transformer for Efficient Molecular Modeling—0
Differential Information: An Information-Theoretic Perspective on Preference Optimization—0
Preventing Spurious Interactions: A New Inductive Bias for Accurate Treatment Effect EstimationCode0
Variational Deep Learning via Implicit Regularization—0
Rep3D: Re-parameterize Large 3D Kernels with Low-Rank Receptive Modeling for Medical ImagingCode0
Structured Initialization for Vision Transformers—0
Synthetic Time Series Forecasting with Transformer Architectures: Extensive Simulation BenchmarksCode0
Deep Spectral Prior—0
Automatic and Structure-Aware Sparsification of Hybrid Neural ODEs—0
PolyPose: Localizing Deformable Anatomy in 3D from Sparse 2D X-ray Images using Polyrigid TransformsCode1
Echo Planning for Autonomous Driving: From Current Observations to Future Trajectories and Back—0
Towards more transferable adversarial attack in black-box manner—0
Maximum Total Correlation Reinforcement LearningCode0
PCMamba: Physics-Informed Cross-Modal State Space Model for Dual-Camera Compressive Hyperspectral Imaging—0
Meta-Learning an In-Context Transformer Model of Human Higher Visual Cortex—0
Non-rigid Motion Correction for MRI Reconstruction via Coarse-To-Fine Diffusion Models—0
Stronger ViTs With Octic EquivarianceCode1
Mamba-Adaptor: State Space Model Adaptor for Visual Recognition—0
A Minimum Description Length Approach to Regularization in Neural NetworksCode0
Towards Effective Federated Graph Foundation Model via Mitigating Knowledge Entanglement—0
Theoretical Investigation on Inductive Bias of Isolation Forest—0
Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies—0
Attention on the SphereCode4
A Fourier Space Perspective on Diffusion Models—0
Evolution imposes an inductive bias that alters and accelerates learning dynamics—0
Model-free Online Learning for the Kalman Filter: Forgetting Factor and Logarithmic Regret—0
Block-Biased Mamba for Long-Range Sequence Processing—0
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