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Ronen Talmon

8 papers at tracked venues · 8 at CORE A* · active 2024–2025

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Venues

NeurIPS ×4ICLR ×2AAAI ×1CVPR ×1

Frequent coauthors

Ya-Wei Eileen Lin
×4
Ronald R. Coifman
×2
Gal Mishne
×2
Thomas Dagès
×1
Simon Weber
×1
Daniel Cremers
×1
Michael Lindenbaum
×1
Alfred M. Bruckstein
×1
Ron Kimmel
×1
Amitai Yacobi
×1
Nir Ben-Ari
×1
Uri Shaham
×1

Papers

  1. Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding
    CVPR 2025 ·
    Thomas Dagès
    ,
    Simon Weber
    ,
    Ya-Wei Eileen Lin
    , Ronen Talmon,
    Daniel Cremers
    ,
    Michael Lindenbaum
    ,
    Alfred M. Bruckstein
    ,
    Ron Kimmel
  2. Joint Hierarchical Representation Learning of Samples and Features via Informed Tree-Wasserstein Distance
    NeurIPS 2025 ·
    Ya-Wei Eileen Lin
    ,
    Ronald R. Coifman
    ,
    Gal Mishne
    , Ronen Talmon
  3. Learning Shared Representations from Unpaired Data
    NeurIPS 2025 ·
    Amitai Yacobi
    ,
    Nir Ben-Ari
    , Ronen Talmon,
    Uri Shaham
  4. Spectral Graph Coarsening Using Inner Product Preservation and the Grassmann Manifold
    NeurIPS 2025 ·
    Ido Cohen
    , Ronen Talmon
  5. Supervised and Semi-Supervised Diffusion Maps with Label-Driven Diffusion
    ICLR 2025 ·
    Harel Mendelman
    , Ronen Talmon
  6. Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy
    ICLR 2025 ·
    Ya-Wei Eileen Lin
    ,
    Ronald R. Coifman
    ,
    Gal Mishne
    , Ronen Talmon
  7. Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters
    NeurIPS 2024 ·
    Ya-Wei Eileen Lin
    , Ronen Talmon,
    Ron Levie
  8. The Expected Loss of Preconditioned Langevin Dynamics Reveals the Hessian Rank
    AAAI 2024 ·
    Amitay Bar
    ,
    Rotem Mulayoff
    ,
    Tomer Michaeli
    , Ronen Talmon