Smita Krishnaswamy

CoRR, 2024

Convergence of Manifold Filter-Combine Networks.

[BibT_eX]

[DOI]

CoRR, 2024

Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data Manifolds.

[BibT_eX]

[DOI]

CoRR, 2024

DiffKillR: Killing and Recreating Diffeomorphisms for Cell Annotation in Dense Microscopy Images.

[BibT_eX]

[DOI]

Chen Liu

Danqi Liao

Alejandro Parada-Mayorga

Alejandro Ribeiro

Marcello DiStasio

CoRR, 2024

Looking through the mind's eye via multimodal encoder-decoder networks.

[BibT_eX]

[DOI]

CoRR, 2024

Latent Representation Learning for Multimodal Brain Activity Translation.

[BibT_eX]

[DOI]

CoRR, 2024

Hyperedge Representations with Hypergraph Wavelets: Applications to Spatial Transcriptomics.

[BibT_eX]

[DOI]

Benjamin Hollander-Bodie

CoRR, 2024

ImageFlowNet: Forecasting Multiscale Trajectories of Disease Progression with Irregularly-Sampled Longitudinal Medical Images.

[BibT_eX]

[DOI]

CoRR, 2024

Inferring Metabolic States from Single Cell Transcriptomic Data via Geometric Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the Research in Computational Molecular Biology, 2024

CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Directed Scattering for Knowledge Graph-Based Cellular Signaling Analysis.

[BibT_eX]

[DOI]

Aarthi Venkat

Joyce A. Chew

Ferran Cardoso Rodriguez

Christopher J. Tape

Michael Perlmutter

Proceedings of the IEEE International Conference on Acoustics, 2024

Assessing Neural Network Representations During Training Using Noise-Resilient Diffusion Spectral Entropy.

[BibT_eX]

[DOI]

Danqi Liao

Chen Liu

Benjamin W. Christensen

Proceedings of the 58th Annual Conference on Information Sciences and Systems, 2024

Bayesian Spectral Graph Denoising with Smoothness Prior.

[BibT_eX]

[DOI]

Proceedings of the 58th Annual Conference on Information Sciences and Systems, 2024

BLIS-Net: Classifying and Analyzing Signals on Graphs.

[BibT_eX]

[DOI]

Charles Xu

Laney Goldman

Valentina Guo

Benjamin Hollander-Bodie

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Time-Inhomogeneous Diffusion Geometry and Topology.

[BibT_eX]

[DOI]

SIAM J. Math. Data Sci., June, 2023

Multi-view manifold learning of human brain-state trajectories.

[BibT_eX]

[DOI]

Nat. Comput. Sci., 2023

Bayesian Formulations for Graph Spectral Denoising.

[BibT_eX]

[DOI]

CoRR, 2023

Graph topological property recovery with heat and wave dynamics-based features on graphs.

[BibT_eX]

[DOI]

CoRR, 2023

Manifold Filter-Combine Networks.

[BibT_eX]

[DOI]

CoRR, 2023

Inferring dynamic regulatory interaction graphs from time series data with perturbations.

[BibT_eX]

[DOI]

Dhananjay Bhaskar

Daniel Sumner Magruder

CoRR, 2023

Graph Fourier MMD for Signals on Graphs.

[BibT_eX]

[DOI]

CoRR, 2023

A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Flow Artist for High-Dimensional Cellular Data.

[BibT_eX]

[DOI]

Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

Geodesic Sinkhorn For Fast and Accurate Optimal Transport on Manifolds.

[BibT_eX]

[DOI]

Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

Inferring Dynamic Regulatory Interaction Graphs From Time Series Data With Perturbations.

[BibT_eX]

[DOI]

Dhananjay Bhaskar

Daniel Sumner Magruder

Proceedings of the Learning on Graphs Conference, 27-30 November 2023, Virtual Event., 2023

Neural FIM for learning Fisher information metrics from point cloud data.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Wire Before You Walk.

[BibT_eX]

[DOI]

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022

Transformer-based protein generation with regularized latent space optimization.

[BibT_eX]

[DOI]

Nat. Mac. Intell., October, 2022

Fixing Bias in Reconstruction-based Anomaly Detection with Lipschitz Discriminators.

[BibT_eX]

[DOI]

Alexander Tong

J. Signal Process. Syst., 2022

Single-cell multi-modal GAN reveals spatial patterns in single-cell data from triple-negative breast cancer.

[BibT_eX]

[DOI]

Patterns, 2022

Geodesic Sinkhorn: optimal transport for high-dimensional datasets.

[BibT_eX]

[DOI]

CoRR, 2022

CUTS: A Fully Unsupervised Framework for Medical Image Segmentation.

[BibT_eX]

[DOI]

CoRR, 2022

Geometric Scattering on Measure Spaces.

[BibT_eX]

[DOI]

CoRR, 2022

The Manifold Scattering Transform for High-Dimensional Point Cloud Data.

[BibT_eX]

[DOI]

CoRR, 2022

Guided Generative Protein Design using Regularized Transformers.

[BibT_eX]

[DOI]

CoRR, 2022

The Manifold Scattering Transform for High-Dimensional Point Cloud Data.

[BibT_eX]

[DOI]

Proceedings of the Topological, 2022

Manifold Interpolating Optimal-Transport Flows for Trajectory Inference.

[BibT_eX]

[DOI]

Guillaume Huguet

Daniel Sumner Magruder

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Diffusion Curvature for Estimating Local Curvature in High Dimensional Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Shared Neural Manifolds from Multi-Subject FMRI Data.

[BibT_eX]

[DOI]

Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 2022

Molecular Graph Generation via Geometric Scattering.

[BibT_eX]

[DOI]

Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 2022

Exploring the Geometry and Topology of Neural Network Loss Landscapes.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Data Analysis XX, 2022

Embedding Signals on Graphs with Unbalanced Diffusion Earth Mover's Distance.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Generating hard-to-obtain information from easy-to-obtain information: Applications in drug discovery and clinical inference.

[BibT_eX]

[DOI]

Patterns, 2021

Molecular Graph Generation via Geometric Scattering.

[BibT_eX]

[DOI]

Dhananjay Bhaskar

Jackson D. Grady

Michael A. Perlmutter

CoRR, 2021

Embedding Signals on Knowledge Graphs with Unbalanced Diffusion Earth Mover's Distance.

[BibT_eX]

[DOI]

CoRR, 2021

Multimodal data visualization, denoising and clustering with integrated diffusion.

[BibT_eX]

[DOI]

CoRR, 2021

Visualizing High-Dimensional Trajectories on the Loss-Landscape of ANNs.

[BibT_eX]

[DOI]

CoRR, 2021

A sandbox for prediction and integration of DNA, RNA, and proteins in single cells.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Multimodal single cell data integration challenge: Results and lessons learned.

[BibT_eX]

[DOI]

Angela Oliveira Pisco

Jonathan Bloom

Fabian J. Theis

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

Data-Driven Learning of Geometric Scattering Modules for GNNs.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021

Multimodal Data Visualization and Denoising with Integrated Diffusion.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021

Canvas GAN: Bootstrapped Image-Conditional Models.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

Noise Space Optimization for GANs.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

Multiple-manifold Generation with an Ensemble GAN and Learned Noise Prior.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Data Analysis XIX, 2021

Diffusion Earth Mover's Distance and Distribution Embeddings.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

MURAL: An Unsupervised Random Forest-Based Embedding for Electronic Health Record Data.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Data-Driven Learning of Geometric Scattering Networks.

[BibT_eX]

[DOI]

CoRR, 2020

Image-to-image Mapping with Many Domains by Sparse Attribute Transfer.

[BibT_eX]

[DOI]

CoRR, 2020

Uncovering the Folding Landscape of RNA Secondary Structure with Deep Graph Embeddings.

[BibT_eX]

[DOI]

CoRR, 2020

Making Logic Learnable With Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2020

Harmonic Alignment.

[BibT_eX]

[DOI]

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning General Transformations of Data for Out-of-Sample Extensions.

[BibT_eX]

[DOI]

Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020

Interpretable Neuron Structuring with Graph Spectral Regularization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Data Analysis XVIII, 2020

TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Uncovering the Folding Landscape of RNA Secondary Structure Using Deep Graph Embeddings.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

A Lipschitz-constrained anomaly discriminator framework.

[BibT_eX]

[DOI]

Alexander Tong

CoRR, 2019

Compressed Diffusion.

[BibT_eX]

[DOI]

CoRR, 2019

Finding Archetypal Spaces for Data Using Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2019

Generating and Aligning from Data Geometries with Generative Adversarial Networks.

[BibT_eX]

[DOI]

CoRR, 2019

Visualizing the PHATE of Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Vertex-Frequency Clustering.

[BibT_eX]

[DOI]

Proceedings of the IEEE Data Science Workshop, 2019

TraVeLGAN: Image-To-Image Translation by Transformation Vector Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Finding Archetypal Spaces Using Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Coarse Graining of Data via Inhomogeneous Diffusion Condensation.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Graph Spectral Regularization for Neural Network Interpretability.

[BibT_eX]

[DOI]

CoRR, 2018

Manifold Alignment with Feature Correspondence.

[BibT_eX]

[DOI]

Jay S. Stanley III

CoRR, 2018

Modeling Dynamics with Deep Transition-Learning Networks.

[BibT_eX]

[DOI]

David van Dijk

Scott Gigante

Alexander Strzalkowski

CoRR, 2018

Geometry Based Data Generation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

MAGAN: Aligning Biological Manifolds.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

2013

Design, Analysis and Test of Logic Circuits Under Uncertainty

[BibT_eX]

[DOI]

Lecture Notes in Electrical Engineering 115, Springer, ISBN: 978-90-481-9643-2, 2013

Intuitive ECO synthesis for high performance circuits.

[BibT_eX]

[DOI]

Proceedings of the Design, Automation and Test in Europe, 2013

Can CAD cure cancer?

[BibT_eX]

[DOI]

Bernd Bodenmiller

Dana Pe'er

Proceedings of the 50th Annual Design Automation Conference 2013, 2013

2012

Generalized SAT-sweeping for post-mapping optimization.

[BibT_eX]

[DOI]

Tobias Welp

Andreas Kuehlmann

Proceedings of the 49th Annual Design Automation Conference 2012, 2012

2011

Joint DAC/IWBDA special session design and synthesis of biological circuits.

[BibT_eX]

[DOI]

Proceedings of the 48th Design Automation Conference, 2011

2010

SPIRE: A retiming-based physical-synthesis transformation system.

[BibT_eX]

[DOI]

David A. Papa

Proceedings of the 2010 International Conference on Computer-Aided Design, 2010

2009

Signature-Based SER Analysis and Design of Logic Circuits.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2009

DeltaSyn: An efficient logic difference optimizer for ECO synthesis.

[BibT_eX]

[DOI]

Proceedings of the 2009 International Conference on Computer-Aided Design, 2009

Improving testability and soft-error resilience through retiming.

[BibT_eX]

[DOI]

Proceedings of the 46th Design Automation Conference, 2009

2008

Design, Analysis and Test of Logic Circuits under Uncertainty.

[BibT_eX]

[DOI]

PhD thesis, 2008

Probabilistic transfer matrices in symbolic reliability analysis of logic circuits.

[BibT_eX]

[DOI]

ACM Trans. Design Autom. Electr. Syst., 2008

On the role of timing masking in reliable logic circuit design.

[BibT_eX]

[DOI]

Proceedings of the 45th Design Automation Conference, 2008

2007

Tracking Uncertainty with Probabilistic Logic Circuit Testing.

[BibT_eX]

[DOI]

IEEE Des. Test Comput., 2007

Enhancing design robustness with reliability-aware resynthesis and logic simulation.

[BibT_eX]

[DOI]

Proceedings of the 2007 International Conference on Computer-Aided Design, 2007

2005

Logic circuit testing for transient faults.

[BibT_eX]

[DOI]