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Found 9 papers, 3 papers with code
Segment Any Object Model (SAOM): Real-to-Simulation Fine-Tuning Strategy for Multi-Class Multi-Instance Segmentation
The foundational Segment Anything Model (SAM) is designed for promptable multi-class multi-instance segmentation but tends to output part or sub-part masks in the "everything" mode for various real-world applications.
Resolution invariant deep operator network for PDEs with complex geometries
Neural operators (NO) are discretization invariant deep learning methods with functional output and can approximate any continuous operator.
Sparse discovery of differential equations based on multi-fidelity Gaussian process
Sparse identification of differential equations aims to compute the analytic expressions from the observed data explicitly.
Conformal Prediction for Deep Classifier via Label Ranking
In this paper, we empirically and theoretically show that disregarding the probabilities' value will mitigate the undesirable effect of miscalibrated probability values.
Koopman operator learning using invertible neural networks
In Koopman operator theory, a finite-dimensional nonlinear system is transformed into an infinite but linear system using a set of observable functions.
Augmented Message Passing Stein Variational Gradient Descent
Stein Variational Gradient Descent (SVGD) is a popular particle-based method for Bayesian inference.
TransFusionOdom: Interpretable Transformer-based LiDAR-Inertial Fusion Odometry Estimation
A synthetic multi-modal dataset is made public to validate the generalization ability of the proposed fusion strategy, which also works for other combinations of different modalities.
Graph Representation for Order-Aware Visual Transformation
This paper proposes a new visual reasoning formulation that aims at discovering changes between image pairs and their temporal orders.
Describing and Localizing Multiple Changes with Transformers
Change captioning tasks aim to detect changes in image pairs observed before and after a scene change and generate a natural language description of the changes.
