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06/12/2023
Reconstructing Heterogeneous Cryo-EM Molecular Structures by Decomposing Them into Polymer Chains
Cryogenic electron microscopy (cryo-EM) has transformed structural biolo...
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04/20/2023
Architectures of Topological Deep Learning: A Survey on Topological Neural Networks
The natural world is full of complex systems characterized by intricate ...
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11/21/2022
Parametric information geometry with the package Geomstats
We introduce the information geometry module of the Python package Geoms...
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11/16/2022
Testing geometric representation hypotheses from simulated place cell recordings
Hippocampal place cells can encode spatial locations of an animal in phy...
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10/04/2022
Regression-Based Elastic Metric Learning on Shape Spaces of Elastic Curves
We propose a new metric learning paradigm, Regression-based Elastic Metr...
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09/29/2022
Heterogeneous reconstruction of deformable atomic models in Cryo-EM
Cryogenic electron microscopy (cryo-EM) provides a unique opportunity to...
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09/20/2022
Intentional Choreography with Semi-Supervised Recurrent VAEs
We summarize the model and results of PirouNet, a semi-supervised recurr...
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08/08/2022
Differentially Private Fréchet Mean on the Manifold of Symmetric Positive Definite (SPD) Matrices
Differential privacy has become crucial in the real-world deployment of ...
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07/23/2022
Defining an action of SO(d)-rotations on images generated by projections of d-dimensional objects: Applications to pose inference with Geometric VAEs
Recent advances in variational autoencoders (VAEs) have enabled learning...
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07/21/2022
PirouNet: Creating Intentional Dance with Semi-Supervised Conditional Recurrent Variational Autoencoders
Using Artificial Intelligence (AI) to create dance choreography with int...
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06/17/2022
ICLR 2022 Challenge for Computational Geometry and Topology: Design and Results
This paper presents the computational challenge on differential geometry...
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06/01/2022
Higher-Order Attention Networks
This paper introduces higher-order attention networks (HOANs), a novel c...
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03/15/2022
CryoAI: Amortized Inference of Poses for Ab Initio Reconstruction of 3D Molecular Volumes from Real Cryo-EM Images
Cryo-electron microscopy (cryo-EM) has become a tool of fundamental impo...
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01/08/2022
Deep Generative Modeling for Volume Reconstruction in Cryo-Electron Microscopy
Recent breakthroughs in high resolution imaging of biomolecules in solut...
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11/29/2021
Riemannian Functional Map Synchronization for Probabilistic Partial Correspondence in Shape Networks
Functional maps are efficient representations of shape correspondences, ...
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08/22/2021
ICLR 2021 Challenge for Computational Geometry Topology: Design and Results
This paper presents the computational challenge on differential geometry...
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07/27/2020
A Bayesian Hierarchical Network for Combining Heterogeneous Data Sources in Medical Diagnoses
Computer-Aided Diagnosis has shown stellar performance in providing accu...
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11/19/2019
Learning Weighted Submanifolds with Variational Autoencoders and Riemannian Variational Autoencoders
Manifold-valued data naturally arises in medical imaging. In cognitive n...
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11/19/2019
Estimation of Orientation and Camera Parameters from Cryo-Electron Microscopy Images with Variational Autoencoders and Generative Adversarial Networks
Cryo-electron microscopy (cryo-EM) is capable of producing reconstructed...
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02/04/2019
PVNet: A LRCN Architecture for Spatio-Temporal Photovoltaic PowerForecasting from Numerical Weather Prediction
Photovoltaic (PV) power generation has emerged as one of the lead renewa...
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05/21/2018
geomstats: a Python Package for Riemannian Geometry in Machine Learning
We introduce geomstats, a python package that performs computations on m...
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05/02/2018
Computing CNN Loss and Gradients for Pose Estimation with Riemannian Geometry
Pose estimation, i.e. predicting a 3D rigid transformation with respect ...
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09/06/2016