Wolf, Guy
- Improving and generalizing flow-based generative models with minibatch optimal transport
2023/02/01 by Alexander Tong, Tong, Alexander, Kilian Fatras +13 · 186 citations
Computer Science · Physics and Astronomy · #Generative Adversarial Networks and Image Synthesis #Music and Audio Processing #Model Reduction and Neural Networks
- Recipe for a General, Powerful, Scalable Graph Transformer
2022/05/25 by Ladislav Rampášek, Mikhail Galkin, Rampášek, Ladislav +9 · 100 citations
Computer Science · Decision Sciences · #Advanced Graph Neural Networks #Data Quality and Management #FOS: Computer and information sciences #Machine Learning (cs.LG)
- LRGB: Long Range Graph Benchmark
2022/06/16 by Vijay Prakash Dwivedi, Ladislav Rampášek, Dwivedi, Vijay Prakash +11 · 27 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Materials Science · #Advanced Graph Neural Networks #Bioinformatics and Genomic Networks #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science
- TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular\n Dynamics
2020/02/09 by Alexander Tong, Tong, Alexander, Jessie Huang +7 · 18 citations
Engineering · #Slime Mold and Myxomycetes Research
- Simulation-free Schrödinger bridges via score and flow matching
2023/07/07 by Tong, Alexander, Malkin, Nikolay, Fatras, Kilian +5 · 12 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Manifold Interpolating Optimal-Transport Flows for Trajectory Inference
2022/06/29 by Guillaume Huguet, Huguet, Guillaume, D S Magruder +11 · 9 citations
Engineering · Physics and Astronomy · #Autonomous Vehicle Technology and Safety #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Traffic Prediction and Management Techniques
- Reliability of CKA as a Similarity Measure in Deep Learning
2022/10/28 by MohammadReza Davari, Davari, MohammadReza, Stefan Horoi +9 · 7 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Bioinformatics #Topic Modeling
- Can Hybrid Geometric Scattering Networks Help Solve the Maximum Clique Problem?
2022/06/03 by Yimeng Min, Frederik Wenkel, Min, Yimeng +5 · 5 citations
Computer Science · Social Sciences · #Advanced Graph Neural Networks #Graph Theory and Algorithms #Advanced Computing and Algorithms
- The Heterophilic Graph Learning Handbook: Benchmarks, Models, Theoretical Analysis, Applications and Challenges
2024/07/12 by Sitao Luan, Luan, Sitao, Chenqing Hua +25 · 1 voice · 6 citations
Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Machine Learning (cs.LG) #Social and Information Networks (cs.SI) #cs.LG #cs.SI
- Graph Positional and Structural Encoder
2023/07/14 by Semih Cantürk, Cantürk, Semih, Renming Liu +11 · 5 citations
Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Bayesian Modeling and Causal Inference #Complex Network Analysis Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence
2020/06/14 by Bastian Rieck, Tristan S. Yates, Rieck, Bastian +11 · 3 citations
Computer Science · Medicine · Biochemistry, Genetics and Molecular Biology · #Topological and Geometric Data Analysis #Advanced Neuroimaging Techniques and Applications #Cell Image Analysis Techniques
- Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets
2023/10/06 by Beaini, Dominique, Huang, Shenyang, Cunha, Joao Alex +32 · 5 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Hierarchical graph neural nets can capture long-range interactions
2021/07/15 by Rampášek, Ladislav, Wolf, Guy · 3 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Diffusion Earth Mover's Distance and Distribution Embeddings
2021/02/25 by Alexander Tong, Tong, Alexander, Guillaume Huguet +13 · 2 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #AI in cancer detection #Cell Image Analysis Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Single-cell and spatial transcriptomics
- Overcoming Oversmoothness in Graph Convolutional Networks via Hybrid Scattering Networks
2022/01/22 by Frederik Wenkel, Yimeng Min, Wenkel, Frederik +7 · 2 citations
Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Data Visualization and Analytics #Complex Network Analysis Techniques
- Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data Manifolds
2024/10/16 by Xingzhi Sun, Danqi Liao, Sun, Xingzhi +17 · 4 citations
Computer Science · Engineering · Mathematics · #3D Shape Modeling and Analysis #Differential Geometry (math.DG) #FOS: Computer and information sciences #FOS: Mathematics #Image Processing and 3D Reconstruction #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Morphological variations and asymmetry
- Towards a General Recipe for Combinatorial Optimization with Multi-Filter GNNs
2024/05/31 by Frederik Wenkel, Semih Cantürk, Wenkel, Frederik +7 · 1 voice · 2 citations
Computer Science · #Advanced Database Systems and Queries #Semantic Web and Ontologies #cs.AI #cs.DM #cs.LG
- Geometry-Aware Edge Pooling for Graph Neural Networks
2025/06/13 by Limbeck, Katharina, Mezrag, Lydia, Wolf, Guy +1 · 3 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Geometry-Based Data Generation
2018/02/14 by Ofir Lindenbaum, Lindenbaum, Ofir, Jay S. Stanley +5 · 1 citation
Mathematics · Computer Science · #Morphological variations and asymmetry #Data Visualization and Analytics #Image Processing and 3D Reconstruction
- Exploring the Geometry and Topology of Neural Network Loss Landscapes
2021/01/31 by Stefan Horoi, Jessie Huang, Horoi, Stefan +9 · 1 citation
Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #Topological and Geometric Data Analysis
- Scattering GCN: Overcoming Oversmoothness in Graph Convolutional Networks
2020/03/18 by Yimeng Min, Frederik Wenkel, Min, Yimeng +3 · 1 citation
Computer Science · Neuroscience · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #FOS: Computer and information sciences #Functional Brain Connectivity Studies #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Multimodal Data Visualization and Denoising with Integrated Diffusion
2021/02/12 by Manik Kuchroo, Kuchroo, Manik, Abhinav Godavarthi +7 · 1 citation
Biochemistry, Genetics and Molecular Biology · #Bioinformatics and Genomic Networks #FOS: Computer and information sciences #Gene expression and cancer classification #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG) #Single-cell and spatial transcriptomics
- Out-of-Sample Extrapolation with Neuron Editing
2018/05/30 by Amodio, Matthew, van Dijk, David, Montgomery, Ruth +2 · 1 citation
#FOS: Biological sciences #Quantitative Methods (q-bio.QM)
- Parametric Scattering Networks
2021/07/20 by Shanel Gauthier, Gauthier, Shanel, Benjamin Therien +13 · 1 citation
Computer Science · #F.2.2 #FOS: Computer and information sciences #FOS: Electrical engineering #Face and Expression Recognition #I.2.7 #Image and Signal Denoising Methods #Machine Learning (cs.LG) #Optical measurement and interference techniques #Signal Processing (eess.SP) #electronic engineering #information engineering
- Positivity Validation Detection and Explainability via Zero Fraction\n Multi-Hypothesis Testing and Asymmetrically Pruned Decision Trees
2021/11/07 by Guy Wolf, Gil Shabat, Wolf, Guy +3 · 1 citation
Computer Science · Mathematics · #Bayesian Modeling and Causal Inference #Statistical Methods and Inference #Explainable Artificial Intelligence (XAI)
- Understanding Graph Neural Networks with Generalized Geometric Scattering Transforms
2019/11/14 by Perlmutter, Michael, Tong, Alexander, Gao, Feng +2 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Learning shared neural manifolds from multi-subject FMRI data
2021/12/22 by Huang, Jessie, Busch, Erica L., Wallenstein, Tom +6 · 1 citation
#FOS: Biological sciences #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Neurons and Cognition (q-bio.NC) #Signal Processing (eess.SP) #electronic engineering #information engineering
- EnzymeFlow: Generating Reaction-specific Enzyme Catalytic Pockets through Flow Matching and Co-Evolutionary Dynamics
2024/10/01 by Hua, Chenqing, Liu, Yong, Zhang, Dinghuai +6 · 2 citations
#Artificial Intelligence (cs.AI) #Computational Engineering #FOS: Biological sciences #FOS: Computer and information sciences #Finance #Machine Learning (cs.LG) #Quantitative Methods (q-bio.QM) #and Science (cs.CE)
- Diffusion Transport Alignment
2022/06/15 by Duque, Andres F., Wolf, Guy, Moon, Kevin R. · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Manifold Alignment with Label Information
2022/10/23 by Duque, Andres F., Lizotte, Myriam, Wolf, Guy +1 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Geodesic Sinkhorn for Fast and Accurate Optimal Transport on Manifolds
2022/11/02 by Guillaume Huguet, Alexander Tong, Huguet, Guillaume +8 · 1 citation
Computer Science · Mathematics · #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Markov Chains and Monte Carlo Methods #Point processes and geometric inequalities #Quantitative Methods (q-bio.QM) #Topological and Geometric Data Analysis
- Learnable Filters for Geometric Scattering Modules
2022/08/15 by Tong, Alexander, Wenkel, Frederik, Bhaskar, Dhananjay +5 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Effective Protein-Protein Interaction Exploration with PPIretrieval
2024/02/06 by Hua, Chenqing, Coley, Connor, Wolf, Guy +2 · 1 citation
#Artificial Intelligence (cs.AI) #Biomolecules (q-bio.BM) #Computational Engineering #FOS: Biological sciences #FOS: Computer and information sciences #Finance #Machine Learning (cs.LG) #and Science (cs.CE)
- Principal Curvatures Estimation with Applications to Single Cell Data
2025/02/06 by Zhang, Yanlei, Mezrag, Lydia, Sun, Xingzhi +6 · 2 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- DYMAG: Rethinking Message Passing Using Dynamical-systems-based Waveforms
2023/09/18 by Bhaskar, Dhananjay, Sun, Xingzhi, Zhang, Yanlei +8 · 1 citation
#FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Signal Processing (eess.SP) #electronic engineering #information engineering
- Harmony in Diversity: Merging Neural Networks with Canonical Correlation Analysis
2024/07/07 by Horoi, Stefan, Camacho, Albert Manuel Orozco, Belilovsky, Eugene +1 · 1 citation
#Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- AdaFisher: Adaptive Second Order Optimization via Fisher Information
2024/05/26 by Damien Martins Gomes, Gomes, Damien Martins, Yanlei Zhang +7 · 1 citation
Computer Science · #Neural Networks and Applications #Metaheuristic Optimization Algorithms Research
- Reaction-conditioned De Novo Enzyme Design with GENzyme
2024/11/10 by Hua, Chenqing, Lu, Jiarui, Liu, Yong +7 · 1 citation
#Artificial Intelligence (cs.AI) #Biomolecules (q-bio.BM) #FOS: Biological sciences #FOS: Computer and information sciences
- Low-dimensional embeddings of high-dimensional data
2025/08/21 by Cyril de Bodt, Alex Diaz-Papkovich, de Bodt, Cyril +39 · 1 voice · 3 citations
#cs.LG