Guy Wolf

161 papers A* 19A 3B 7Misc 5Journal 99Unranked 24
YearRankTypeTitle / Venue / Authors
2026 J jnl
Can Computational Reducibility Lead to Transferable Models for Graph Combinatorial Optimization?
CoRR
Semih Cantürk, Thomas Sabourin, Frederik Wenkel, Michael Perlmutter, Guy Wolf
2026 J jnl
Forest-Guided Semantic Transport for Label-Supervised Manifold Alignment.
CoRR
Adrien Aumon, Myriam Lizotte, Guy Wolf, Kevin R. Moon, Jake S. Rhodes
2026 J jnl
GraIP: A Benchmarking Framework For Neural Graph Inverse Problems.
CoRR
Semih Cantürk, Andrei Manolache, Arman Mielke, Chendi Qian, Antoine Siraudin, Christopher Morris, Mathias Niepert, Guy Wolf
2026 J jnl
MIOFlow 2.0: A unified framework for inferring cellular stochastic dynamics from single cell and spatial transcriptomics data.
CoRR
Xingzhi Sun, João F. Rocha, Brett Phelan, Dhananjay Bhaskar, Guillaume Huguet, Yanlei Zhang, Daniel Sumner Magruder, Alexander Tong, Ke Xu, Oluwadamilola Fasina, Mark Gerstein, Guy Wolf, Natalia Ivanova, Christine L. Chaffer, Smita Krishnaswamy
2026 J jnl
Position: Message-passing and spectral GNNs are two sides of the same coin.
CoRR
Antonis Vasileiou, Juan Cerviño, Pascal Frossard, Charilaos I. Kanatsoulis, Christopher Morris, Michael T. Schaub, Pierre Vandergheynst, Zhiyang Wang, Guy Wolf, Ron Levie
2026 J jnl
Scalable Tree Ensemble Proximities in Python.
CoRR
Adrien Aumon, Guy Wolf, Kevin R. Moon, Jake S. Rhodes
2025 A* conf
AdaFisher: Adaptive Second Order Optimization via Fisher Information.
ICLR
Damien Martins Gomes, Yanlei Zhang, Eugene Belilovsky, Guy Wolf, Mahdi S. Hosseini
2025 J jnl
Freeze, Diffuse, Decode: Geometry-Aware Adaptation of Pretrained Transformer Embeddings for Antimicrobial Peptide Design.
CoRR
Pankhil Gawade, Adam Izdebski, Myriam Lizotte, Kevin R. Moon, Jake S. Rhodes, Guy Wolf, Ewa Szczurek
2025 J jnl
Geometry-Aware Edge Pooling for Graph Neural Networks.
CoRR
Katharina Limbeck, Lydia Mezrag, Guy Wolf, Bastian Rieck
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 Misc conf
Graph Neural Networks Meet Probabilistic Graphical Models: A Survey.
ICASSP
Chenqing Hua, Sitao Luan, Qian Zhang, Jie Fu, Guy Wolf
2025 J jnl
Less is More: Undertraining Experts Improves Model Upcycling.
CoRR
Stefan Horoi, Guy Wolf, Eugene Belilovsky, Gintare Karolina Dziugaite
2025 J jnl
Leveraging Parameter Space Symmetries for Reasoning Skill Transfer in LLMs.
CoRR
Stefan Horoi, Sangwoo Cho, Supriyo Chakraborty, Shixiong Zhang, Sambit Sahu, Guy Wolf, Genta Indra Winata
2025 J jnl
Low-dimensional embeddings of high-dimensional data.
CoRR
Cyril de Bodt, Alex Diaz-Papkovich, Michael Bleher, Kerstin Bunte, Corinna Coupette, Sebastian Damrich, Enrique Fita Sanmartin, Fred A. Hamprecht, Emoke-Ágnes Horvát, Dhruv Kohli, Smita Krishnaswamy, John A. Lee, Boudewijn P. F. Lelieveldt, Leland McInnes, Ian T. Nabney, Maximilian Noichl, Pavlin G. Policar, Bastian Rieck, Guy Wolf, Gal Mishne, Dmitry Kobak
2025 Misc conf
Principal Curvatures Estimation with Applications to Single Cell Data.
ICASSP
Yanlei Zhang, Lydia Mezrag, Xingzhi Sun, Charles Xu, Kincaid MacDonald, Dhananjay Bhaskar, Smita Krishnaswamy, Guy Wolf, Bastian Rieck
2025 J jnl
Principal Curvatures Estimation with Applications to Single Cell Data.
CoRR
Yanlei Zhang, Lydia Mezrag, Xingzhi Sun, Charles Xu, Kincaid MacDonald, Dhananjay Bhaskar, Smita Krishnaswamy, Guy Wolf, Bastian Rieck
2025 J jnl
RETRO SYNFLOW: Discrete Flow Matching for Accurate and Diverse Single-Step Retrosynthesis.
CoRR
Robin Yadav, Qi Yan, Guy Wolf, Avishek Joey Bose, Renjie Liao
2025 J jnl
Random Forest Autoencoders for Guided Representation Learning.
CoRR
Adrien Aumon, Shuang Ni, Myriam Lizotte, Guy Wolf, Kevin R. Moon, Jake S. Rhodes
2025 J jnl
Test Time Adaptation Using Adaptive Quantile Recalibration.
CoRR
Paria Mehrbod, Pedro Vianna, Géraldin Nanfack, Guy Wolf, Eugene Belilovsky
2025 J jnl
Towards Graph Foundation Models: A Study on the Generalization of Positional and Structural Encodings.
Trans. Mach. Learn. Res.
Billy Joe Franks, Moshe Eliasof, Semih Cantürk, Guy Wolf, Carola-Bibiane Schönlieb, Sophie Fellenz, Marius Kloft
2024 J jnl
AdaFisher: Adaptive Second Order Optimization via Fisher Information.
CoRR
Damien Martins Gomes, Yanlei Zhang, Eugene Belilovsky, Guy Wolf, Mahdi S. Hosseini
2024 J jnl
Are Heterophily-Specific GNNs and Homophily Metrics Really Effective? Evaluation Pitfalls and New Benchmarks.
CoRR
Sitao Luan, Qincheng Lu, Chenqing Hua, Xinyu Wang, Jiaqi Zhu, Xiao-Wen Chang, Guy Wolf, Jian Tang
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 — conf
Channel-Selective Normalization for Label-Shift Robust Test-Time Adaptation.
CoLLAs
Pedro Vianna, Muawiz Sajjad Chaudhary, Paria Mehrbod, An Tang, Guy Cloutier, Guy Wolf, Michael Eickenberg, Eugene Belilovsky
2024 J jnl
Channel-Selective Normalization for Label-Shift Robust Test-Time Adaptation.
CoRR
Pedro Vianna, Muawiz Chaudhary, Paria Mehrbod, An Tang, Guy Cloutier, Guy Wolf, Michael Eickenberg, Eugene Belilovsky
2024 J jnl
Effective Protein-Protein Interaction Exploration with PPIretrieval.
CoRR
Chenqing Hua, Connor W. Coley, Guy Wolf, Doina Precup, Shuangjia Zheng
2024 — conf
Enhancing Supervised Visualization Through Autoencoder and Random Forest Proximities for Out-of-Sample Extension.
MLSP
Shuang Ni, Adrien Aumon, Guy Wolf, Kevin R. Moon, Jake S. Rhodes
2024 J jnl
Enhancing Supervised Visualization through Autoencoder and Random Forest Proximities for Out-of-Sample Extension.
CoRR
Shuang Ni, Adrien Aumon, Guy Wolf, Kevin R. Moon, Jake S. Rhodes
2024 J jnl
EnzymeFlow: Generating Reaction-specific Enzyme Catalytic Pockets through Flow Matching and Co-Evolutionary Dynamics.
CoRR
Chenqing Hua, Yong Liu, Dinghuai Zhang, Odin Zhang, Sitao Luan, Kevin K. Yang, Guy Wolf, Doina Precup, Shuangjia Zheng
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
2024 A* conf
Graph Positional and Structural Encoder.
ICML
Semih Cantürk, Renming Liu, Olivier Lapointe-Gagné, Vincent Létourneau, Guy Wolf, Dominique Beaini, Ladislav Rampásek
2024 A* conf
Harmony in Diversity: Merging Neural Networks with Canonical Correlation Analysis.
ICML
Stefan Horoi, Albert Manuel Orozco Camacho, Eugene Belilovsky, Guy Wolf
2024 J jnl
Harmony in Diversity: Merging Neural Networks with Canonical Correlation Analysis.
CoRR
Stefan Horoi, Albert Manuel Orozco Camacho, Eugene Belilovsky, Guy Wolf
2024 J jnl
Improving and generalizing flow-based generative models with minibatch optimal transport.
Trans. Mach. Learn. Res.
Alexander Tong, Kilian Fatras, Nikolay Malkin, Guillaume Huguet, Yanlei Zhang, Jarrid Rector-Brooks, Guy Wolf, Yoshua Bengio
2024 J jnl
Learnable Filters for Geometric Scattering Modules.
IEEE Trans. Signal Process.
Alexander Tong, Frederik Wenkel, Dhananjay Bhaskar, Kincaid MacDonald, Jackson D. Grady, Michael Perlmutter, Smita Krishnaswamy, Guy Wolf
2024 — ed.
Learning on Graphs Conference, 26-29 November 2024, Virtual.
LoG
Guy Wolf, Smita Krishnaswamy
2024 J jnl
Neural networks with optimized single-neuron adaptation uncover biologically plausible regularization.
PLoS Comput. Biol.
Victor Geadah, Stefan Horoi, Giancarlo Kerg, Guy Wolf, Guillaume Lajoie
2024 J jnl
Noisy Data Visualization using Functional Data Analysis.
CoRR
Haozhe Chen, Andres Felipe Duque Correa, Guy Wolf, Kevin R. Moon
2024 B conf
Non-Uniform Parameter-Wise Model Merging.
IEEE Big Data
Albert Manuel Orozco Camacho, Stefan Horoi, Guy Wolf, Eugene Belilovsky
2024 J jnl
Non-Uniform Parameter-Wise Model Merging.
CoRR
Albert Manuel Orozco Camacho, Stefan Horoi, Guy Wolf, Eugene Belilovsky
2024 A* conf
ReactZyme: A Benchmark for Enzyme-Reaction Prediction.
NeurIPS
Chenqing Hua, Bozitao Zhong, Sitao Luan, Liang Hong, Guy Wolf, Doina Precup, Shuangjia Zheng
2024 J jnl
Reaction-conditioned De Novo Enzyme Design with GENzyme.
CoRR
Chenqing Hua, Jiarui Lu, Yong Liu, Odin Zhang, Jian Tang, Rex Ying, Wengong Jin, Guy Wolf, Doina Precup, Shuangjia Zheng
2024 J jnl
Reactzyme: A Benchmark for Enzyme-Reaction Prediction.
CoRR
Chenqing Hua, Bozitao Zhong, Sitao Luan, Liang Hong, Guy Wolf, Doina Precup, Shuangjia Zheng
2024 A conf
Simulation-Free Schrödinger Bridges via Score and Flow Matching.
AISTATS
Alexander Tong, Nikolay Malkin, Kilian Fatras, Lazar Atanackovic, Yanlei Zhang, Guillaume Huguet, Guy Wolf, Yoshua Bengio
2024 J jnl
The Heterophilic Graph Learning Handbook: Benchmarks, Models, Theoretical Analysis, Applications and Challenges.
CoRR
Sitao Luan, Chenqing Hua, Qincheng Lu, Liheng Ma, Lirong Wu, Xinyu Wang, Minkai Xu, Xiao-Wen Chang, Doina Precup, Rex Ying, Stan Z. Li, Jian Tang, Guy Wolf, Stefanie Jegelka
2024 A* conf
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets.
ICLR
Dominique Beaini, Shenyang Huang, Joao Alex Cunha, Zhiyi Li, Gabriela Moisescu-Pareja, Oleksandr Dymov, Samuel Maddrell-Mander, Callum McLean, Frederik Wenkel, Luis Müller, Jama Hussein Mohamud, Ali Parviz, Michael Craig, Michal Koziarski, Jiarui Lu, Zhaocheng Zhu, Cristian Gabellini, Kerstin Klaser, Josef Dean, Cas Wognum, Maciej Sypetkowski, Guillaume Rabusseau, Reihaneh Rabbany, Jian Tang, Christopher Morris, Mirco Ravanelli, Guy Wolf, Prudencio Tossou, Hadrien Mary, Therence Bois, Andrew W. Fitzgibbon, Blazej Banaszewski, Chad Martin, Dominic Masters
2024 J jnl
Towards Graph Foundation Models: A Study on the Generalization of Positional and Structural Encodings.
CoRR
Billy Joe Franks, Moshe Eliasof, Semih Cantürk, Guy Wolf, Carola-Bibiane Schönlieb, Sophie Fellenz, Marius Kloft
2024 J jnl
Towards a General GNN Framework for Combinatorial Optimization.
CoRR
Frederik Wenkel, Semih Cantürk, Michael Perlmutter, Guy Wolf
2024 — conf
Towards a General Recipe for Combinatorial Optimization With Multi-Filter GNNs.
LoG
Frederik Wenkel, Semih Cantürk, Stefan Horoi, Michael Perlmutter, Guy Wolf
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
Conditional Flow Matching: Simulation-Free Dynamic Optimal Transport.
CoRR
Alexander Tong, Nikolay Malkin, Guillaume Huguet, Yanlei Zhang, Jarrid Rector-Brooks, Kilian Fatras, Guy Wolf, Yoshua Bengio
2023 B conf
Diffusion Transport Alignment.
IDA
Andrés F. Duque, Guy Wolf, Kevin R. Moon
2023 — conf
Geodesic Sinkhorn For Fast and Accurate Optimal Transport on Manifolds.
MLSP
Guillaume Huguet, Alexander Tong, María Ramos Zapatero, Christopher J. Tape, Guy Wolf, Smita Krishnaswamy
2023 J jnl
Geometry Regularized Autoencoders.
IEEE Trans. Pattern Anal. Mach. Intell.
Andrés F. Duque, Sacha Morin, Guy Wolf, Kevin R. Moon
2023 J jnl
Graph Fourier MMD for Signals on Graphs.
CoRR
Samuel Leone, Aarthi Venkat, Guillaume Huguet, Alexander Tong, Guy Wolf, Smita Krishnaswamy
2023 J jnl
Graph Positional and Structural Encoder.
CoRR
Renming Liu, Semih Cantürk, Olivier Lapointe-Gagné, Vincent Létourneau, Guy Wolf, Dominique Beaini, Ladislav Rampásek
2023 J jnl
Graph topological property recovery with heat and wave dynamics-based features on graphs.
CoRR
Dhananjay Bhaskar, Yanlei Zhang, Charles Xu, Xingzhi Sun, Oluwadamilola Fasina, Guy Wolf, Maximilian Nickel, Michael Perlmutter, Smita Krishnaswamy
2023 — conf
Inferring Dynamic Regulatory Interaction Graphs From Time Series Data With Perturbations.
LoG
Dhananjay Bhaskar, Daniel Sumner Magruder, Matheo Morales, Edward De Brouwer, Aarthi Venkat, Frederik Wenkel, Guy Wolf, Smita Krishnaswamy
2023 J jnl
Inferring dynamic regulatory interaction graphs from time series data with perturbations.
CoRR
Dhananjay Bhaskar, Daniel Sumner Magruder, Edward De Brouwer, Aarthi Venkat, Frederik Wenkel, Guy Wolf, Smita Krishnaswamy
2023 J jnl
Multi-view manifold learning of human brain-state trajectories.
Nat. Comput. Sci.
Erica L. Busch, Jessie Huang, Andrew Benz, Tom Wallenstein, Guillaume Lajoie, Guy Wolf, Smita Krishnaswamy, Nicholas B. Turk-Browne
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 B conf
OAMIP: Optimizing ANN Architectures Using Mixed-Integer Programming.
CPAIOR
Mostafa ElAraby, Guy Wolf, Margarida Carvalho
2023 A* conf
Reliability of CKA as a Similarity Measure in Deep Learning.
ICLR
MohammadReza Davari, Stefan Horoi, Amine Natik, Guillaume Lajoie, Guy Wolf, Eugene Belilovsky
2023 J jnl
Simulation-free Schrödinger bridges via score and flow matching.
CoRR
Alexander Tong, Nikolay Malkin, Kilian Fatras, Lazar Atanackovic, Yanlei Zhang, Guillaume Huguet, Guy Wolf, Yoshua Bengio
2023 J jnl
Spectral Temporal Contrastive Learning.
CoRR
Sacha Morin, Somjit Nath, Samira Ebrahimi Kahou, Guy Wolf
2023 J jnl
Time-Inhomogeneous Diffusion Geometry and Topology.
SIAM J. Math. Data Sci.
Guillaume Huguet, Alexander Tong, Bastian Rieck, Jessie Huang, Manik Kuchroo, Matthew J. Hirn, Guy Wolf, Smita Krishnaswamy
2023 J jnl
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets.
CoRR
Dominique Beaini, Shenyang Huang, Joao Alex Cunha, Zhiyi Li, Gabriela Moisescu-Pareja, Oleksandr Dymov, Samuel Maddrell-Mander, Callum McLean, Frederik Wenkel, Luis Müller, Jama Hussein Mohamud, Ali Parviz, Michael Craig, Michal Koziarski, Jiarui Lu, Zhaocheng Zhu, Cristian Gabellini, Kerstin Klaser, Josef Dean, Cas Wognum, Maciej Sypetkowski, Guillaume Rabusseau, Reihaneh Rabbany, Jian Tang, Christopher Morris, Ioannis Koutis, Mirco Ravanelli, Guy Wolf, Prudencio Tossou, Hadrien Mary, Therence Bois, Andrew W. Fitzgibbon, Blazej Banaszewski, Chad Martin, Dominic Masters
2023 J jnl
Understanding Graph Neural Networks with Generalized Geometric Scattering Transforms.
SIAM J. Math. Data Sci.
Michael Perlmutter, Alexander Tong, Feng Gao, Guy Wolf, Matthew J. Hirn
2022 J jnl
Can Hybrid Geometric Scattering Networks Help Solve the Maximal Clique Problem?
CoRR
Yimeng Min, Frederik Wenkel, Michael Perlmutter, Guy Wolf
2022 A* conf
Can Hybrid Geometric Scattering Networks Help Solve the Maximum Clique Problem?
NeurIPS
Yimeng Min, Frederik Wenkel, Michael Perlmutter, Guy Wolf
2022 J jnl
Diffusion Transport Alignment.
CoRR
Andrés F. Duque, Guy Wolf, Kevin R. Moon
2022 Misc conf
Embedding Signals on Graphs with Unbalanced Diffusion Earth Mover's Distance.
ICASSP
Alexander Tong, Guillaume Huguet, Dennis L. Shung, Amine Natik, Manik Kuchroo, Guillaume Lajoie, Guy Wolf, Smita Krishnaswamy
2022 B conf
Exploring the Geometry and Topology of Neural Network Loss Landscapes.
IDA
Stefan Horoi, Jessie Huang, Bastian Rieck, Guillaume Lajoie, Guy Wolf, Smita Krishnaswamy
2022 J jnl
Fixing Bias in Reconstruction-based Anomaly Detection with Lipschitz Discriminators.
J. Signal Process. Syst.
Alexander Tong, Guy Wolf, Smita Krishnaswamy
2022 J jnl
Geodesic Sinkhorn: optimal transport for high-dimensional datasets.
CoRR
Guillaume Huguet, Alexander Tong, María Ramos Zapatero, Guy Wolf, Smita Krishnaswamy
2022 J jnl
Learnable Filters for Geometric Scattering Modules.
CoRR
Alexander Tong, Frederik Wenkel, Dhananjay Bhaskar, Kincaid MacDonald, Jackson D. Grady, Michael Perlmutter, Smita Krishnaswamy, Guy Wolf
2022 — conf
Learning Shared Neural Manifolds from Multi-Subject FMRI Data.
MLSP
Jessie Huang, Erica L. Busch, Tom Wallenstein, Michal Gerasimiuk, Andrew Benz, Guillaume Lajoie, Guy Wolf, Nicholas B. Turk-Browne, Smita Krishnaswamy
2022 J jnl
Learning shared neural manifolds from multi-subject FMRI data.
CoRR
Jessie Huang, Erica L. Busch, Tom Wallenstein, Michal Gerasimiuk, Andrew Benz, Guillaume Lajoie, Guy Wolf, Nicholas B. Turk-Browne, Smita Krishnaswamy
2022 A* conf
Long Range Graph Benchmark.
NeurIPS
Vijay Prakash Dwivedi, Ladislav Rampásek, Michael Galkin, Ali Parviz, Guy Wolf, Anh Tuan Luu, Dominique Beaini
2022 J jnl
Long Range Graph Benchmark.
CoRR
Vijay Prakash Dwivedi, Ladislav Rampásek, Mikhail Galkin, Ali Parviz, Guy Wolf, Anh Tuan Luu, Dominique Beaini
2022 J jnl
Manifold Alignment with Label Information.
CoRR
Andrés F. Duque, Myriam Lizotte, Guy Wolf, Kevin R. Moon
2022 A* conf
Manifold Interpolating Optimal-Transport Flows for Trajectory Inference.
NeurIPS
Guillaume Huguet, Daniel Sumner Magruder, Alexander Tong, Oluwadamilola Fasina, Manik Kuchroo, Guy Wolf, Smita Krishnaswamy
2022 J jnl
Manifold Interpolating Optimal-Transport Flows for Trajectory Inference.
CoRR
Guillaume Huguet, Daniel Sumner Magruder, Oluwadamilola Fasina, Alexander Tong, Manik Kuchroo, Guy Wolf, Smita Krishnaswamy
2022 J jnl
Overcoming Oversmoothness in Graph Convolutional Networks via Hybrid Scattering Networks.
CoRR
Frederik Wenkel, Yimeng Min, Matthew J. Hirn, Michael Perlmutter, Guy Wolf
2022 A* conf
Parametric Scattering Networks.
CVPR
Shanel Gauthier, Benjamin Thérien, Laurent Alsène-Racicot, Muawiz Chaudhary, Irina Rish, Eugene Belilovsky, Michael Eickenberg, Guy Wolf
2022 — conf
Preface.
TAG-ML
Alexander Cloninger, Timothy Doster, Tegan Emerson, Manohar Kaul, Ira Ktena, Henry Kvinge, Nina Miolane, Bastian Rice, Sarah Tymochko, Guy Wolf
2022 A* conf
Recipe for a General, Powerful, Scalable Graph Transformer.
NeurIPS
Ladislav Rampásek, Michael Galkin, Vijay Prakash Dwivedi, Anh Tuan Luu, Guy Wolf, Dominique Beaini
2022 J jnl
Recipe for a General, Powerful, Scalable Graph Transformer.
CoRR
Ladislav Rampásek, Mikhail Galkin, Vijay Prakash Dwivedi, Anh Tuan Luu, Guy Wolf, Dominique Beaini
2022 J jnl
Reliability of CKA as a Similarity Measure in Deep Learning.
CoRR
MohammadReza Davari, Stefan Horoi, Amine Natik, Guillaume Lajoie, Guy Wolf, Eugene Belilovsky
2022 — conf
Taxonomy of Benchmarks in Graph Representation Learning.
LoG
Renming Liu, Semih Cantürk, Frederik Wenkel, Sarah McGuire, Xinyi Wang, Anna Little, Leslie O'Bray, Michael Perlmutter, Bastian Rieck, Matthew J. Hirn, Guy Wolf, Ladislav Rampásek
2022 J jnl
Taxonomy of Benchmarks in Graph Representation Learning.
CoRR
Renming Liu, Semih Cantürk, Frederik Wenkel, Dylan Sandfelder, Devin Kreuzer, Anna Little, Sarah McGuire, Leslie O'Bray, Michael Perlmutter, Bastian Rieck, Matthew J. Hirn, Guy Wolf, Ladislav Rampásek
2022 J jnl
Time-inhomogeneous diffusion geometry and topology.
CoRR
Guillaume Huguet, Alexander Tong, Bastian Rieck, Jessie Huang, Manik Kuchroo, Matthew J. Hirn, Guy Wolf, Smita Krishnaswamy
2022 — ed.
Topological, Algebraic and Geometric Learning Workshops 2022, 25-22 July 2022, Virtual
TAG-ML
Alexander Cloninger, Timothy Doster, Tegan Emerson, Manohar Kaul, Ira Ktena, Henry Kvinge, Nina Miolane, Bastian Rice, Sarah Tymochko, Guy Wolf
2021 — conf
Data-Driven Learning of Geometric Scattering Modules for GNNs.
MLSP
Alexander Tong, Frederick Wenkel, Kincaid MacDonald, Smita Krishnaswamy, Guy Wolf
2021 A* conf
Diffusion Earth Mover's Distance and Distribution Embeddings.
ICML
Alexander Tong, Guillaume Huguet, Amine Natik, Kincaid MacDonald, Manik Kuchroo, Ronald R. Coifman, Guy Wolf, Smita Krishnaswamy
2021 J jnl
Diffusion Earth Mover's Distance and Distribution Embeddings.
CoRR
Alexander Tong, Guillaume Huguet, Amine Natik, Kincaid MacDonald, Manik Kuchroo, Ronald R. Coifman, Guy Wolf, Smita Krishnaswamy
2021 J jnl
Embedding Signals on Knowledge Graphs with Unbalanced Diffusion Earth Mover's Distance.
CoRR
Alexander Tong, Guillaume Huguet, Dennis L. Shung, Amine Natik, Manik Kuchroo, Guillaume Lajoie, Guy Wolf, Smita Krishnaswamy
2021 Misc conf
Geometric Scattering Attention Networks.
ICASSP
Yimeng Min, Frederik Wenkel, Guy Wolf
2021 — conf
Hierarchical Graph Neural Nets can Capture Long-Range Interactions.
MLSP
Ladislav Rampásek, Guy Wolf
2021 J jnl
Hierarchical graph neural nets can capture long-range interactions.
CoRR
Ladislav Rampásek, Guy Wolf
2021 — conf
MURAL: An Unsupervised Random Forest-Based Embedding for Electronic Health Record Data.
IEEE BigData
Michal Gerasimiuk, Dennis L. Shung, Alexander Tong, Adrian J. Stanley, Michael Schultz, Jeffrey Ngu, Loren Laine, Guy Wolf, Smita Krishnaswamy
2021 J jnl
MURAL: An Unsupervised Random Forest-Based Embedding for Electronic Health Record Data.
CoRR
Michal Gerasimiuk, Dennis L. Shung, Alexander Tong, Adrian J. Stanley, Michael Schultz, Jeffrey Ngu, Loren Laine, Guy Wolf, Smita Krishnaswamy
2021 — conf
Multimodal Data Visualization and Denoising with Integrated Diffusion.
MLSP
Manik Kuchroo, Abhinav Godavarthi, Alexander Tong, Guy Wolf, Smita Krishnaswamy
2021 J jnl
Multimodal data visualization, denoising and clustering with integrated diffusion.
CoRR
Manik Kuchroo, Abhinav Godavarthi, Guy Wolf, Smita Krishnaswamy
2021 J jnl
Parametric Scattering Networks.
CoRR
Shanel Gauthier, Benjamin Thérien, Laurent Alsène-Racicot, Irina Rish, Eugene Belilovsky, Michael Eickenberg, Guy Wolf
2021 J jnl
Positivity Validation Detection and Explainability via Zero Fraction Multi-Hypothesis Testing and Asymmetrically Pruned Decision Trees.
CoRR
Guy Wolf, Gil Shabat, Hanan Shteingart
2021 — conf
Random Forest-Based Diffusion Information Geometry for Supervised Visualization and Data Exploration.
SSP
Jake S. Rhodes, Adele Cutler, Guy Wolf, Kevin R. Moon
2021 J jnl
Towards a Taxonomy of Graph Learning Datasets.
CoRR
Renming Liu, Semih Cantürk, Frederik Wenkel, Dylan Sandfelder, Devin Kreuzer, Anna Little, Sarah McGuire, Leslie O'Bray, Michael Perlmutter, Bastian Rieck, Matthew J. Hirn, Guy Wolf, Ladislav Rampásek
2021 J jnl
Visualizing High-Dimensional Trajectories on the Loss-Landscape of ANNs.
CoRR
Stefan Horoi, Jessie Huang, Guy Wolf, Smita Krishnaswamy
2020 J jnl
Advantages of biologically-inspired adaptive neural activation in RNNs during learning.
CoRR
Victor Geadah, Giancarlo Kerg, Stefan Horoi, Guy Wolf, Guillaume Lajoie
2020 J jnl
Data-Driven Learning of Geometric Scattering Networks.
CoRR
Alexander Tong, Frederik Wenkel, Kincaid MacDonald, Smita Krishnaswamy, Guy Wolf
2020 — conf
Extendable and invertible manifold learning with geometry regularized autoencoders.
IEEE BigData
Andrés F. Duque, Sacha Morin, Guy Wolf, Kevin R. Moon
2020 J jnl
Extendable and invertible manifold learning with geometry regularized autoencoders.
CoRR
Andrés F. Duque, Sacha Morin, Guy Wolf, Kevin R. Moon
2020 — conf
Fixing Bias in Reconstruction-Based Anomaly Detection with Lipschitz Discriminators.
MLSP
Alexander Tong, Guy Wolf, Smita Krishnaswamy
2020 J jnl
Geometric Scattering Attention Networks.
CoRR
Yimeng Min, Frederik Wenkel, Guy Wolf
2020 — conf
Geometric Wavelet Scattering Networks on Compact Riemannian Manifolds.
MSML
Michael Perlmutter, Feng Gao, Guy Wolf, Matthew J. Hirn
2020 A conf
Harmonic Alignment.
SDM
Jay S. Stanley III, Scott Gigante, Guy Wolf, Smita Krishnaswamy
2020 J jnl
Identifying Critical Neurons in ANN Architectures using Mixed Integer Programming.
CoRR
Mostafa ElAraby, Guy Wolf, Margarida Carvalho
2020 J jnl
Internal representation dynamics and geometry in recurrent neural networks.
CoRR
Stefan Horoi, Guillaume Lajoie, Guy Wolf
2020 B conf
Interpretable Neuron Structuring with Graph Spectral Regularization.
IDA
Alexander Tong, David van Dijk, Jay S. Stanley III, Matthew Amodio, Kristina Yim, Rebecca Muhle, James Noonan, Guy Wolf, Smita Krishnaswamy
2020 — conf
Learning General Transformations of Data for Out-of-Sample Extensions.
MLSP
Matthew Amodio, David van Dijk, Guy Wolf, Smita Krishnaswamy
2020 — conf
Low-Dimensional Dynamics of Encoding and Learning in Recurrent Neural Networks.
Canadian AI
Stefan Horoi, Victor Geadah, Guy Wolf, Guillaume Lajoie
2020 A* conf
Scattering GCN: Overcoming Oversmoothness in Graph Convolutional Networks.
NeurIPS
Yimeng Min, Frederik Wenkel, Guy Wolf
2020 J jnl
Scattering GCN: Overcoming Oversmoothness in Graph Convolutional Networks.
CoRR
Yimeng Min, Frederik Wenkel, Guy Wolf
2020 J jnl
Supervised Visualization for Data Exploration.
CoRR
Jake S. Rhodes, Adele Cutler, Guy Wolf, Kevin R. Moon
2020 A* conf
TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics.
ICML
Alexander Tong, Jessie Huang, Guy Wolf, David van Dijk, Smita Krishnaswamy
2020 J jnl
TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics.
CoRR
Alexander Tong, Jessie Huang, Guy Wolf, David van Dijk, Smita Krishnaswamy
2020 — conf
Uncovering the Folding Landscape of RNA Secondary Structure Using Deep Graph Embeddings.
IEEE BigData
Egbert Castro, Andrew Benz, Alexander Tong, Guy Wolf, Smita Krishnaswamy
2020 J jnl
Uncovering the Folding Landscape of RNA Secondary Structure with Deep Graph Embeddings.
CoRR
Egbert Castro, Andrew Benz, Alexander Tong, Guy Wolf, Smita Krishnaswamy
2020 A* conf
Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence.
NeurIPS
Bastian Rieck, Tristan Yates, Christian Bock, Karsten M. Borgwardt, Guy Wolf, Nicholas B. Turk-Browne, Smita Krishnaswamy
2020 J jnl
Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence.
CoRR
Bastian Rieck, Tristan Yates, Christian Bock, Karsten M. Borgwardt, Guy Wolf, Nicholas B. Turk-Browne, Smita Krishnaswamy
2019 J jnl
A Lipschitz-constrained anomaly discriminator framework.
CoRR
Alexander Tong, Guy Wolf, Smita Krishnaswamy
2019 — conf
Coarse Graining of Data via Inhomogeneous Diffusion Condensation.
IEEE BigData
Nathan Brugnone, Smita Krishnaswamy, Alex Gonopolskiy, Mark W. Moyle, Manik Kuchroo, David van Dijk, Kevin R. Moon, Daniel Colón-Ramos, Guy Wolf, Matthew J. Hirn
2019 J jnl
Coarse Graining of Data via Inhomogeneous Diffusion Condensation.
CoRR
Nathan Brugnone, Alex Gonopolskiy, Mark W. Moyle, Manik Kuchroo, David van Dijk, Kevin R. Moon, Daniel Colón-Ramos, Guy Wolf, Matthew J. Hirn, Smita Krishnaswamy
2019 J jnl
Compressed Diffusion.
CoRR
Scott Gigante, Jay S. Stanley III, Ngan Vu, David van Dijk, Kevin R. Moon, Guy Wolf, Smita Krishnaswamy
2019 — conf
Finding Archetypal Spaces Using Neural Networks.
IEEE BigData
David van Dijk, Daniel B. Burkhardt, Matthew Amodio, Alexander Tong, Guy Wolf, Smita Krishnaswamy
2019 J jnl
Finding Archetypal Spaces for Data Using Neural Networks.
CoRR
David van Dijk, Daniel B. Burkhardt, Matthew Amodio, Alexander Tong, Guy Wolf, Smita Krishnaswamy
2019 A* conf
Geometric Scattering for Graph Data Analysis.
ICML
Feng Gao, Guy Wolf, Matthew J. Hirn
2019 J jnl
Geometric Wavelet Scattering Networks on Compact Riemannian Manifolds.
CoRR
Michael Perlmutter, Feng Gao, Guy Wolf, Matthew J. Hirn
2019 J jnl
Understanding Graph Neural Networks with Asymmetric Geometric Scattering Transforms.
CoRR
Michael Perlmutter, Feng Gao, Guy Wolf, Matthew J. Hirn
2019 — conf
Vertex-Frequency Clustering.
DSW
Daniel B. Burkhardt, Jay S. Stanley III, Guy Wolf, Smita Krishnaswamy
2019 — conf
Visualizing High Dimensional Dynamical Processes.
MLSP
Andrés F. Duque, Guy Wolf, Kevin R. Moon
2019 J jnl
Visualizing High Dimensional Dynamical Processes.
CoRR
Andrés F. Duque, Guy Wolf, Kevin R. Moon
2018 J jnl
Geometric Scattering on Manifolds.
CoRR
Michael Perlmutter, Guy Wolf, Matthew J. Hirn
2018 A* conf
Geometry Based Data Generation.
NeurIPS
Ofir Lindenbaum, Jay S. Stanley III, Guy Wolf, Smita Krishnaswamy
2018 J jnl
Geometry-Based Data Generation.
CoRR
Ofir Lindenbaum, Jay S. Stanley III, Guy Wolf, Smita Krishnaswamy
2018 J jnl
Graph Classification with Geometric Scattering.
CoRR
Feng Gao, Guy Wolf, Matthew J. Hirn
2018 J jnl
Graph Spectral Regularization for Neural Network Interpretability.
CoRR
Alexander Tong, David van Dijk, Jay S. Stanley III, Matthew Amodio, Guy Wolf, Smita Krishnaswamy
2018 J jnl
Manifold Alignment with Feature Correspondence.
CoRR
Jay S. Stanley III, Guy Wolf, Smita Krishnaswamy
2018 J jnl
Modeling Dynamics with Deep Transition-Learning Networks.
CoRR
David van Dijk, Scott Gigante, Alexander Strzalkowski, Guy Wolf, Smita Krishnaswamy
2016 J jnl
Learning from patches by efficient spectral decomposition of a structured kernel.
Mach. Learn.
Moshe Salhov, Amit Bermanis, Guy Wolf, Amir Averbuch
2016 J jnl
Rigid Motion Model for Audio Source Separation.
IEEE Trans. Signal Process.
Guy Wolf, Stéphane Mallat, Shihab A. Shamma
2015 J jnl
Diffusion Representations.
CoRR
Moshe Salhov, Amit Bermanis, Guy Wolf, Amir Averbuch
2014 — conf
Audio source separation with time-frequency velocities.
MLSP
Guy Wolf, Stéphane Mallat, Shihab A. Shamma
2014 — ch.
Parameter Rating by Diffusion Gradient.
Modeling, Simulation and Optimization for Science and Technology
Guy Wolf, Amir Averbuch, Pekka Neittaanmäki
2013 — —
Diffusion-based analysis of locally low-dimensional geometries in high-dimensional data
Guy Wolf
2012 B conf
Dictionary Construction for Patch-to-Tensor Embedding.
IDA
Moshe Salhov, Guy Wolf, Amit Bermanis, Amir Averbuch, Pekka Neittaanmäki
2012 B conf
Patch-Based Data Analysis Using Linear-Projection Diffusion.
IDA
Moshe Salhov, Guy Wolf, Amir Averbuch, Pekka Neittaanmäki