NeurIPS 2025 Past Large language models

Non-Euclidean Foundation Models: Advancing AI Beyond Euclidean Frameworks

NEGEL 2025

Submission deadline
Sep 9, 2025, 12:00 UTC
imported from OpenReview — check the website for extensions
Submission portal
OpenReview
Notes
Auto-imported from the OpenReview venue record on 2026-06-10 — please verify and enrich (topics are keyword-guessed).

Accepted papers (25)

Fetched from OpenReview (v2) on 2026-06-10.

  1. A geometric framework for momentum-based optimizers for low-rank training

    Steffen Schotthöfer, Timon Klein, Jonas Kusch · PDF
  2. Any-Subgroup Equivariant Networks via Symmetry Breaking

    Abhinav Goel, Derek Lim, Hannah Lawrence, Stefanie Jegelka, Ningyuan Huang · PDF
  3. AQuaMaM: An Autoregressive, Quaternion Manifold Model for Rapidly Estimating Complex SO(3) Distributions

    Michael A. Alcorn · PDF
  4. Attentive Multi-Channel Molecular Representation in Drug–Target Affinity Prediction

    Ming Shen, Yijingxiu Lu, Boyu Feng, Irwin King · PDF
  5. Biological Pathway Informed Models with Graph Attention Networks (GATs)

    Gavin Y. Wong, Ping Shu Ho, Ivan Au Yeung, Ka Chun Cheung, Simon See · PDF
  6. Boundary Guidance for Efficient 3D CT Vision–Language Reasoning

    Soo Yong Kim · PDF
  7. CAT: Curvature-Adaptive Transformers for Geometry-Aware Learning

    Ryan Y. Lin, Siddhartha Ojha, Nicholas Bai · PDF
  8. Contrastive MIM: A Contrastive Mutual Information Framework for Unified Generative and Discriminative Representation Learning

    Micha Livne · PDF
  9. CoPE: Enhanced Transformer with Complex Positional Encoding

    Avinash Amballa · PDF
  10. Differentiable Lifting for Topological Neural Networks

    Jorge Luiz Franco, Gabriel Duarte, Alexander V Nikitin, Moacir A Ponti, Diego Mesquita, Amauri H Souza · PDF
  11. Extracting information from fine-tuned weights

    Nan Chen, Hayden Helm, Youngser Park, Carey Priebe, Soledad Villar · PDF
  12. Geometry-Aware Backdoor Attacks: Leveraging Curvature in Hyperbolic Embeddings

    Ali Baheri · PDF
  13. GLASS: A Differentiable Geometric Alignment Layer on Manifolds and Graphs via Learned Slices and Soft Optimal Transport

    Nizar Benbouchta · PDF
  14. HypBench: Hyperbolic Benchmark for Graph Neural Network Performance

    Roya Aliakbarisani, Robert Jankowski, M. Angeles Serrano, Marian Boguña · PDF
  15. Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies

    Piotr Piękos, Subhradeep Kayal, Alexandros Karatzoglou · PDF
  16. HyperHELM: Hyperbolic Hierarchy Encoding for mRNA Language Modeling

    Max van Spengler, Artem Moskalev, Tommaso Mansi, Mangal Prakash, Rui Liao · PDF
  17. Johnson-Lindenstrauss Lemma Beyond Euclidean Geometry

    Chengyuan Deng, Jie Gao, Kevin Lu, Feng Luo, Cheng Xin · PDF
  18. Memorization-Compression Cycles Improve Generalization

    Fangyuan Yu · PDF
  19. ONG: Orthogonal Natural Gradient Descent

    Yajat Yadav, Patrick Mendoza, Jathin Korrapati · PDF
  20. Quantum-Inspired Complex Transformers: Resolving the Fundamental Algebraic Ambiguity for Enhanced Neural Representations

    Bhargav Patel · PDF
  21. Riemannian Fuzzy K-Means on Product Manifolds

    Jh Yuan, Zhuo Liu, Feiping Nie · PDF
  22. RL's Razor: Why On-Policy Reinforcement Learning Forgets Less

    Idan Shenfeld, Jyothish Pari, Pulkit Agrawal · PDF
  23. SphereEdit: Geometric Control for Composable Diffusion-Based Image Editing

    Salamata Konate, Hassan Hamidi, Elham Dolatabadi, Frank Rudzicz, Laleh Seyyed-Kalantari · PDF
  24. Towards Intrinsic Topology Search: Differentiable Isomap Application

    Julia Borisova, Alexander Hvatov · PDF
  25. When Curvature Beats Dimension: Euclidean Limits and Hyperbolic Design Rules for Trees

    Sarwesh Rauniyar · PDF