Ronen Talmon

Venues

Frequent coauthors

Papers

1. Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding
   CVPR 2025 ·

   Thomas Dagès

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2. Joint Hierarchical Representation Learning of Samples and Features via Informed Tree-Wasserstein Distance
   NeurIPS 2025 ·

   Ya-Wei Eileen Lin

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3. Learning Shared Representations from Unpaired Data
   NeurIPS 2025 ·

   Amitai Yacobi

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4. Spectral Graph Coarsening Using Inner Product Preservation and the Grassmann Manifold
   NeurIPS 2025 ·

   Ido Cohen

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5. Supervised and Semi-Supervised Diffusion Maps with Label-Driven Diffusion
   ICLR 2025 ·

   Harel Mendelman

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6. Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy
   ICLR 2025 ·

   Ya-Wei Eileen Lin

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7. Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters
   NeurIPS 2024 ·

   Ya-Wei Eileen Lin

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8. The Expected Loss of Preconditioned Langevin Dynamics Reveals the Hessian Rank
   AAAI 2024 ·

   Amitay Bar

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