Guy Wolf
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
26
Venues
11
Active years
2012–2026
Best venue rank
A*
Where they publish
Papers
26 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | WACV | Test Time Adaptation Using Adaptive Quantile Recalibration. | Paria Mehrbod, Pedro Vianna, Graldin Nanfack, Guy Wolf, Eugene Belilovsky |
| 2025 | AISTATS | 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 |
| 2025 | ICASSP | Graph Neural Networks Meet Probabilistic Graphical Models: A Survey. | Chenqing Hua, Sitao Luan, Qian Zhang, Jie Fu, Guy Wolf |
| 2025 | ICASSP | Principal Curvatures Estimation with Applications to Single Cell Data. | Yanlei Zhang, Lydia Mezrag, Xingzhi Sun, Charles Xu, Kincaid MacDonald, Dhananjay Bhaskar, Smita Krishnaswamy, Guy Wolf, Bastian Rieck |
| 2025 | ICLR | AdaFisher: Adaptive Second Order Optimization via Fisher Information. | Damien Martins Gomes, Yanlei Zhang, Eugene Belilovsky, Guy Wolf, Mahdi S. Hosseini |
| 2024 | AISTATS | Simulation-Free Schrdinger Bridges via Score and Flow Matching. | Alexander Tong, Nikolay Malkin, Kilian Fatras, Lazar Atanackovic, Yanlei Zhang, Guillaume Huguet, Guy Wolf, Yoshua Bengio |
| 2024 | CISS | Assessing Neural Network Representations During Training Using Noise-Resilient Diffusion Spectral Entropy. | Danqi Liao, Chen Liu, Benjamin W. Christensen, Alexander Tong, Guillaume Huguet, Guy Wolf, Maximilian Nickel, Ian Adelstein, Smita Krishnaswamy |
| 2024 | ICLR | 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 Mller, 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 | ICML | Graph Positional and Structural Encoder. | Semih Cantrk, Renming Liu, Olivier Lapointe-Gagn, Vincent Ltourneau, Guy Wolf, Dominique Beaini, Ladislav Rampsek |
| 2024 | ICML | Harmony in Diversity: Merging Neural Networks with Canonical Correlation Analysis. | Stefan Horoi, Albert Manuel Orozco Camacho, Eugene Belilovsky, Guy Wolf |
| 2023 | CPAIOR | OAMIP: Optimizing ANN Architectures Using Mixed-Integer Programming. | Mostafa ElAraby, Guy Wolf, Margarida Carvalho |
| 2023 | ICLR | Reliability of CKA as a Similarity Measure in Deep Learning. | MohammadReza Davari, Stefan Horoi, Amine Natik, Guillaume Lajoie, Guy Wolf, Eugene Belilovsky |
| 2023 | ICML | 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 |
| 2023 | IDA | Diffusion Transport Alignment. | Andrs F. Duque, Guy Wolf, Kevin R. Moon |
| 2022 | CVPR | Parametric Scattering Networks. | Shanel Gauthier, Benjamin Thrien, Laurent Alsne-Racicot, Muawiz Chaudhary, Irina Rish, Eugene Belilovsky, Michael Eickenberg, Guy Wolf |
| 2022 | ICASSP | Embedding Signals on Graphs with Unbalanced Diffusion Earth Mover's Distance. | Alexander Tong, Guillaume Huguet, Dennis L. Shung, Amine Natik, Manik Kuchroo, Guillaume Lajoie, Guy Wolf, Smita Krishnaswamy |
| 2022 | IDA | Exploring the Geometry and Topology of Neural Network Loss Landscapes. | Stefan Horoi, Jessie Huang, Bastian Rieck, Guillaume Lajoie, Guy Wolf, Smita Krishnaswamy |
| 2021 | ICASSP | Geometric Scattering Attention Networks. | Yimeng Min, Frederik Wenkel, Guy Wolf |
| 2021 | ICML | Diffusion Earth Mover's Distance and Distribution Embeddings. | Alexander Tong, Guillaume Huguet, Amine Natik, Kincaid MacDonald, Manik Kuchroo, Ronald R. Coifman, Guy Wolf, Smita Krishnaswamy |
| 2020 | AI | Low-Dimensional Dynamics of Encoding and Learning in Recurrent Neural Networks. | Stefan Horoi, Victor Geadah, Guy Wolf, Guillaume Lajoie |
| 2020 | ICML | TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics. | Alexander Tong, Jessie Huang, Guy Wolf, David van Dijk, Smita Krishnaswamy |
| 2020 | IDA | Interpretable Neuron Structuring with Graph Spectral Regularization. | Alexander Tong, David van Dijk, Jay S. Stanley III, Matthew Amodio, Kristina Yim, Rebecca Muhle, James Noonan, Guy Wolf, Smita Krishnaswamy |
| 2020 | SDM | Harmonic Alignment. | Jay S. Stanley III, Scott Gigante, Guy Wolf, Smita Krishnaswamy |
| 2019 | ICML | Geometric Scattering for Graph Data Analysis. | Feng Gao, Guy Wolf, Matthew J. Hirn |
| 2012 | IDA | Patch-Based Data Analysis Using Linear-Projection Diffusion. | Moshe Salhov, Guy Wolf, Amir Averbuch, Pekka Neittaanmki |
| 2012 | IDA | Dictionary Construction for Patch-to-Tensor Embedding. | Moshe Salhov, Guy Wolf, Amit Bermanis, Amir Averbuch, Pekka Neittaanmki |