Ian Adelstein

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 13

Top Topics

Fisher Information

Dimensionality Reduction

Dimensional Data

Top Venues

Publications

Charles Xu, Laney Goldman, Valentina Guo, Benjamin Hollander-Bodie, Maedee Trank-Greene, Ian Adelstein, Edward De Brouwer, Rex Ying, Smita Krishnaswamy, Michael Perlmutter
BLIS-Net: Classifying and Analyzing Signals on Graphs. AISTATS (2024)
Danqi Liao, Chen Liu, Benjamin W. Christensen, Alexander Tong, Guillaume Huguet, Guy Wolf, Maximilian Nickel, Ian Adelstein, Smita Krishnaswamy
Assessing Neural Network Representations During Training Using Noise-Resilient Diffusion Spectral Entropy. CISS (2024)
Guillaume Huguet, Alexander Tong, Edward De Brouwer, Yanlei Zhang, Guy Wolf, Ian Adelstein, Smita Krishnaswamy
A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction. CoRR (2023)
Charles Xu, Laney Goldman, Valentina Guo, Benjamin Hollander-Bodie, Maedee Trank-Greene, Ian Adelstein, Edward De Brouwer, Rex Ying, Smita Krishnaswamy, Michael Perlmutter
BLIS-Net: Classifying and Analyzing Signals on Graphs. CoRR (2023)
Kincaid MacDonald, Dhananjay Bhaskar, Guy Thampakkul, Nhi Nguyen, Joia Zhang, Michael Perlmutter, Ian Adelstein, Smita Krishnaswamy
A Flow Artist for High-Dimensional Cellular Data. CoRR (2023)
Kincaid MacDonald, Dhananjay Bhaskar, Guy Thampakkul, Nhi Nguyen, Joia Zhang, Michael Perlmutter, Ian Adelstein, Smita Krishnaswamy
A Flow Artist for High-Dimensional Cellular Data. MLSP (2023)
Tesfa Asmara, Dhananjay Bhaskar, Ian Adelstein, Smita Krishnaswamy, Michael Perlmutter
Wire Before You Walk. ACSSC (2023)
Oluwadamilola Fasina, Guillaume Huguet, Alexander Tong, Yanlei Zhang, Guy Wolf, Maximilian Nickel, Ian Adelstein, Smita Krishnaswamy
Neural FIM for learning Fisher Information Metrics from point cloud data. CoRR (2023)
Danqi Liao, Chen Liu, Benjamin W. Christensen, Alexander Tong, Guillaume Huguet, Guy Wolf, Maximilian Nickel, Ian Adelstein, Smita Krishnaswamy
Assessing Neural Network Representations During Training Using Noise-Resilient Diffusion Spectral Entropy. CoRR (2023)
Guillaume Huguet, Alexander Tong, Edward De Brouwer, Yanlei Zhang, Guy Wolf, Ian Adelstein, Smita Krishnaswamy
A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction. NeurIPS (2023)
Oluwadamilola Fasina, Guillaume Huguet, Alexander Tong, Yanlei Zhang, Guy Wolf, Maximilian Nickel, Ian Adelstein, Smita Krishnaswamy
Neural FIM for learning Fisher information metrics from point cloud data. ICML (2023)
Dhananjay Bhaskar, Kincaid MacDonald, Oluwadamilola Fasina, Dawson Thomas, Bastian Rieck, Ian Adelstein, Smita Krishnaswamy
Diffusion Curvature for Estimating Local Curvature in High Dimensional Data. NeurIPS (2022)
Dhananjay Bhaskar, Kincaid MacDonald, Oluwadamilola Fasina, Dawson Thomas, Bastian Rieck, Ian Adelstein, Smita Krishnaswamy
Diffusion Curvature for Estimating Local Curvature in High Dimensional Data. CoRR (2022)