Ian Adelstein - RankMe

18 papers A* 3A 2Misc 2Journal 10Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data Manifolds. AISTATS Xingzhi Sun, Danqi Liao, Kincaid MacDonald, Yanlei Zhang, Guillaume Huguet, Guy Wolf, Ian Adelstein, Tim G. J. Rudner, Smita Krishnaswamy
2025	J	`jnl`	HiPoNet: A Topology-Preserving Multi-View Neural Network For High Dimensional Point Cloud and Single-Cell Data. CoRR Siddharth Viswanath, Hiren Madhu, Dhananjay Bhaskar, Jake Kovalic, David R. Johnson, Rex Ying, Christopher J. Tape, Ian Adelstein, Michael Perlmutter, Smita Krishnaswamy
2025	J	`jnl`	Learning Laplacian Eigenvectors: a Pre-training Method for Graph Neural Networks. CoRR Howard Dai, Nyambura Njenga, Benjamin Whitsett, Catherine Ma, Darwin Deng, Sara de Ángel, Alexandre Van Tassel, Siddharth Viswanath, Ryan Pellico, Ian Adelstein, Smita Krishnaswamy
2024	Misc	`conf`	Assessing Neural Network Representations During Training Using Noise-Resilient Diffusion Spectral Entropy. CISS Danqi Liao, Chen Liu, Benjamin W. Christensen, Alexander Tong, Guillaume Huguet, Guy Wolf, Maximilian Nickel, Ian Adelstein, Smita Krishnaswamy
2024	A	`conf`	BLIS-Net: Classifying and Analyzing Signals on Graphs. AISTATS Charles Xu, Laney Goldman, Valentina Guo, Benjamin Hollander-Bodie, Maedee Trank-Greene, Ian Adelstein, Edward De Brouwer, Rex Ying, Smita Krishnaswamy, Michael Perlmutter
2024	J	`jnl`	Exploring the Manifold of Neural Networks Using Diffusion Geometry. CoRR Elliott Abel, Peyton Crevasse, Yvan Grinspan, Selma Mazioud, Folu Ogundipe, Kristof Reimann, Ellie Schueler, Andrew J. Steindl, Ellen Zhang, Dhananjay Bhaskar, Siddharth Viswanath, Yanlei Zhang, Tim G. J. Rudner, Ian Adelstein, Smita Krishnaswamy
2024	J	`jnl`	Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data Manifolds. CoRR Xingzhi Sun, Danqi Liao, Kincaid MacDonald, Yanlei Zhang, Chen Liu, Guillaume Huguet, Guy Wolf, Ian Adelstein, Tim G. J. Rudner, Smita Krishnaswamy
2023	—	`conf`	A Flow Artist for High-Dimensional Cellular Data. MLSP Kincaid MacDonald, Dhananjay Bhaskar, Guy Thampakkul, Nhi Nguyen, Joia Zhang, Michael Perlmutter, Ian Adelstein, Smita Krishnaswamy
2023	J	`jnl`	A Flow Artist for High-Dimensional Cellular Data. CoRR Kincaid MacDonald, Dhananjay Bhaskar, Guy Thampakkul, Nhi Nguyen, Joia Zhang, Michael Perlmutter, Ian Adelstein, Smita Krishnaswamy
2023	A*	`conf`	A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction. NeurIPS Guillaume Huguet, Alexander Tong, Edward De Brouwer, Yanlei Zhang, Guy Wolf, Ian Adelstein, Smita Krishnaswamy
2023	J	`jnl`	A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction. CoRR Guillaume Huguet, Alexander Tong, Edward De Brouwer, Yanlei Zhang, Guy Wolf, Ian Adelstein, Smita Krishnaswamy
2023	J	`jnl`	Assessing Neural Network Representations During Training Using Noise-Resilient Diffusion Spectral Entropy. CoRR Danqi Liao, Chen Liu, Benjamin W. Christensen, Alexander Tong, Guillaume Huguet, Guy Wolf, Maximilian Nickel, Ian Adelstein, Smita Krishnaswamy
2023	J	`jnl`	BLIS-Net: Classifying and Analyzing Signals on Graphs. CoRR Charles Xu, Laney Goldman, Valentina Guo, Benjamin Hollander-Bodie, Maedee Trank-Greene, Ian Adelstein, Edward De Brouwer, Rex Ying, Smita Krishnaswamy, Michael Perlmutter
2023	J	`jnl`	Neural FIM for learning Fisher Information Metrics from point cloud data. CoRR Oluwadamilola Fasina, Guillaume Huguet, Alexander Tong, Yanlei Zhang, Guy Wolf, Maximilian Nickel, Ian Adelstein, Smita Krishnaswamy
2023	A*	`conf`	Neural FIM for learning Fisher information metrics from point cloud data. ICML Oluwadamilola Fasina, Guillaume Huguet, Alexander Tong, Yanlei Zhang, Guy Wolf, Maximilian Nickel, Ian Adelstein, Smita Krishnaswamy
2023	Misc	`conf`	Wire Before You Walk. ACSSC Tesfa Asmara, Dhananjay Bhaskar, Ian Adelstein, Smita Krishnaswamy, Michael Perlmutter
2022	A*	`conf`	Diffusion Curvature for Estimating Local Curvature in High Dimensional Data. NeurIPS Dhananjay Bhaskar, Kincaid MacDonald, Oluwadamilola Fasina, Dawson Thomas, Bastian Rieck, Ian Adelstein, Smita Krishnaswamy
2022	J	`jnl`	Diffusion Curvature for Estimating Local Curvature in High Dimensional Data. CoRR Dhananjay Bhaskar, Kincaid MacDonald, Oluwadamilola Fasina, Dawson Thomas, Bastian Rieck, Ian Adelstein, Smita Krishnaswamy