Wolf, Guy

46 publications

ICLR 2025 AdaFisher: Adaptive Second Order Optimization via Fisher Information Damien MARTINS Gomes, Yanlei Zhang, Eugene Belilovsky, Guy Wolf, Mahdi S. Hosseini

NeurIPS 2025 Geometry-Aware Edge Pooling for Graph Neural Networks Katharina Limbeck, Lydia Mezrag, Guy Wolf, Bastian Rieck

AISTATS 2025 Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data Manifolds Xingzhi Sun, Danqi Liao, Kincaid MacDonald, Yanlei Zhang, Guillaume Huguet, Guy Wolf, Ian Adelstein, Tim G. J. Rudner, Smita Krishnaswamy

NeurIPS 2025 RETRO SYNFLOW: Discrete Flow-Matching for Accurate and Diverse Single-Step Retrosynthesis Robin Yadav, Qi Yan, Guy Wolf, Joey Bose, Renjie Liao

NeurIPS 2025 Random Forest Autoencoders for Guided Representation Learning Adrien Aumon, Shuang Ni, Myriam Lizotte, Guy Wolf, Kevin R. Moon, Jake Slater Rhodes

TMLR 2025 Towards Graph Foundation Models: A Study on the Generalization of Positional and Structural Encodings Billy Joe Franks, Moshe Eliasof, Semih Cantürk, Guy Wolf, Carola-Bibiane Schönlieb, Sophie Fellenz, Marius Kloft

LoG 2025 Towards a General Recipe for Combinatorial Optimization with Multi-Filter GNNs Frederik Wenkel, Semih Cantürk, Stefan Horoi, Michael Perlmutter, Guy Wolf

CoLLAs 2024 Channel-Selective Normalization for Label-Shift Robust Test-Time Adaptation Pedro Vianna, Muawiz Sajjad Chaudhary, Paria Mehrbod, An Tang, Guy Cloutier, Guy Wolf, Michael Eickenberg, Eugene Belilovsky

NeurIPSW 2024 Effective Protein-Protein Interaction Exploration with PPIretrieval Chenqing Hua, Connor W. Coley, Guy Wolf, Doina Precup, Shuangjia Zheng

NeurIPSW 2024 EnzymeFlow: Generating Reaction-Specific Enzyme Catalytic Pockets Through Flow Matching and Co-Evolutionary Dynamics Chenqing Hua, Yong Liu, Dinghuai Zhang, Odin Zhang, Sitao Luan, Kevin K Yang, Guy Wolf, Doina Precup, Shuangjia Zheng

ICMLW 2024 Geometry-Aware Autoencoders for Metric Learning and Generative Modeling on Data Manifolds Xingzhi Sun, Danqi Liao, Kincaid MacDonald, Yanlei Zhang, Guillaume Huguet, Guy Wolf, Ian Adelstein, Tim G. J. Rudner, Smita Krishnaswamy

ICML 2024 Graph Positional and Structural Encoder Semih Cantürk, Renming Liu, Olivier Lapointe-Gagné, Vincent Létourneau, Guy Wolf, Dominique Beaini, Ladislav Rampášek

ICML 2024 Harmony in Diversity: Merging Neural Networks with Canonical Correlation Analysis Stefan Horoi, Albert Manuel Orozco Camacho, Eugene Belilovsky, Guy Wolf

ICLRW 2024 Harmony in Diversity: Merging Neural Networks with Canonical Correlation Analysis Stefan Horoi, Albert Manuel Orozco Camacho, Eugene Belilovsky, Guy Wolf

TMLR 2024 Improving and Generalizing Flow-Based Generative Models with Minibatch Optimal Transport Alexander Tong, Kilian Fatras, Nikolay Malkin, Guillaume Huguet, Yanlei Zhang, Jarrid Rector-Brooks, Guy Wolf, Yoshua Bengio

NeurIPSW 2024 Learning Stochastic Rainbow Networks Vivian White, Muawiz Sajjad Chaudhary, Guy Wolf, Guillaume Lajoie, Kameron Decker Harris

ICLRW 2024 Learning and Aligning Structured Random Feature Networks Vivian White, Muawiz Sajjad Chaudhary, Guy Wolf, Guillaume Lajoie, Kameron Decker Harris

NeurIPS 2024 ReactZyme: A Benchmark for Enzyme-Reaction Prediction Chenqing Hua, Bozitao Zhong, Sitao Luan, Liang Hong, Guy Wolf, Doina Precup, Shuangjia Zheng

AISTATS 2024 Simulation-Free Schrödinger Bridges via Score and Flow Matching Alexander Y. Tong, Nikolay Malkin, Kilian Fatras, Lazar Atanackovic, Yanlei Zhang, Guillaume Huguet, Guy Wolf, Yoshua Bengio

ICLR 2024 Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets 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, Michał 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

NeurIPS 2023 A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction Guillaume Huguet, Alexander Tong, Edward De Brouwer, Yanlei Zhang, Guy Wolf, Ian Adelstein, Smita Krishnaswamy

ICMLW 2023 A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction Guillaume Huguet, Alexander Tong, Edward De Brouwer, Yanlei Zhang, Guy Wolf, Ian Adelstein, Smita Krishnaswamy

NeurIPSW 2023 Channel Selection for Test-Time Adaptation Under Distribution Shift Pedro Vianna, Muawiz Sajjad Chaudhary, An Tang, Guy Cloutier, Guy Wolf, Michael Eickenberg, Eugene Belilovsky

ICMLW 2023 Improving and Generalizing Flow-Based Generative Models with Minibatch Optimal Transport Alexander Tong, Nikolay Malkin, Guillaume Huguet, Yanlei Zhang, Jarrid Rector-Brooks, Kilian Fatras, Guy Wolf, Yoshua Bengio

LoG 2023 Inferring Dynamic Regulatory Interaction Graphs from Time Series Data with Perturbations Dhananjay Bhaskar, Daniel Sumner Magruder, Matheo Morales, Edward De Brouwer, Aarthi Venkat, Frederik Wenkel, James Noonan, Guy Wolf, Natalia Ivanova, Smita Krishnaswamy

ICML 2023 Neural FIM for Learning Fisher Information Metrics from Point Cloud Data Oluwadamilola Fasina, Guillaume Huguet, Alexander Tong, Yanlei Zhang, Guy Wolf, Maximilian Nickel, Ian Adelstein, Smita Krishnaswamy

ICMLW 2023 Pretrained Language Models to Solve Graph Tasks in Natural Language Frederik Wenkel, Guy Wolf, Boris Knyazev

ICLR 2023 Reliability of CKA as a Similarity Measure in Deep Learning MohammadReza Davari, Stefan Horoi, Amine Natik, Guillaume Lajoie, Guy Wolf, Eugene Belilovsky

ICMLW 2023 Simulation-Free Schrödinger Bridges via Score and Flow Matching Alexander Tong, Nikolay Malkin, Kilian Fatras, Lazar Atanackovic, Yanlei Zhang, Guillaume Huguet, Guy Wolf, Yoshua Bengio

NeurIPS 2022 Can Hybrid Geometric Scattering Networks Help Solve the Maximum Clique Problem? Yimeng Min, Frederik Wenkel, Michael Perlmutter, Guy Wolf

NeurIPSW 2022 Deceiving the CKA Similarity Measure in Deep Learning MohammadReza Davari, Stefan Horoi, Amine Natik, Guillaume Lajoie, Guy Wolf, Eugene Belilovsky

NeurIPS 2022 Long Range Graph Benchmark Vijay Prakash Dwivedi, Ladislav Rampášek, Michael Galkin, Ali Parviz, Guy Wolf, Anh Tuan Luu, Dominique Beaini

NeurIPS 2022 Manifold Interpolating Optimal-Transport Flows for Trajectory Inference Guillaume Huguet, Daniel Sumner Magruder, Alexander Tong, Oluwadamilola Fasina, Manik Kuchroo, Guy Wolf, Smita Krishnaswamy

ICLRW 2022 On the Inadequacy of CKA as a Measure of Similarity in Deep Learning MohammadReza Davari, Stefan Horoi, Amine Natik, Guillaume Lajoie, Guy Wolf, Eugene Belilovsky

CVPR 2022 Parametric Scattering Networks Shanel Gauthier, Benjamin Thérien, Laurent Alsène-Racicot, Muawiz Chaudhary, Irina Rish, Eugene Belilovsky, Michael Eickenberg, Guy Wolf

NeurIPS 2022 Recipe for a General, Powerful, Scalable Graph Transformer Ladislav Rampášek, Michael Galkin, Vijay Prakash Dwivedi, Anh Tuan Luu, Guy Wolf, Dominique Beaini

LoG 2022 Taxonomy of Benchmarks in Graph Representation Learning Renming Liu, Semih Cantürk, Frederik Wenkel, Sarah McGuire, Xinyi Wang, Anna Little, Leslie O’ Bray, Michael Perlmutter, Bastian Rieck, Matthew Hirn, Guy Wolf, Ladislav Rampášek

ICML 2021 Diffusion Earth Mover’s Distance and Distribution Embeddings Alexander Y Tong, Guillaume Huguet, Amine Natik, Kincaid Macdonald, Manik Kuchroo, Ronald Coifman, Guy Wolf, Smita Krishnaswamy

NeurIPS 2020 Scattering GCN: Overcoming Oversmoothness in Graph Convolutional Networks Yimeng Min, Frederik Wenkel, Guy Wolf

ICML 2020 TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics Alexander Tong, Jessie Huang, Guy Wolf, David Van Dijk, Smita Krishnaswamy

NeurIPS 2020 Uncovering the Topology of Time-Varying fMRI Data Using Cubical Persistence Bastian Rieck, Tristan Yates, Christian Bock, Karsten Borgwardt, Guy Wolf, Nicholas Turk-Browne, Smita Krishnaswamy

NeurIPSW 2020 Visualizing High-Dimensional Trajectories on the Loss-Landscape of ANNs Stefan Horoi, Jessie Huang, Guy Wolf, Smita Krishnaswamy

ICLRW 2019 Enhancing Experimental Signals in Single-Cell RNA-Sequencing Data Using Graph Signal Processing Daniel B. Burkhardt, Jay S. Stanley Iii, Ana Luisa Perdigoto, Scott A. Gigante, Kevan C. Herold, Guy Wolf, Antonio J. Giraldez, David van Dijk, Smita Krishnaswamy

ICML 2019 Geometric Scattering for Graph Data Analysis Feng Gao, Guy Wolf, Matthew Hirn

NeurIPS 2018 Geometry Based Data Generation Ofir Lindenbaum, Jay Stanley, Guy Wolf, Smita Krishnaswamy

MLJ 2016 Learning from Patches by Efficient Spectral Decomposition of a Structured Kernel Moshe Salhov, Amit Bermanis, Guy Wolf, Amir Averbuch