Search results

  • Full text

  • Document type

    • Publication year

  • Organisation

Results: 78,791
Number of items: 78,791
  • Open Access
    Zheng, T., Brandenbourger, M., Robinet, L., Schall, P., Lerner, E., & Coulais, C. (2023). Self-Oscillation and Synchronization Transitions in Elastoactive Structures. Physical Review Letters, 130(17), Article 178202. https://doi.org/10.1103/PhysRevLett.130.178202
  • Open Access
    Nickl, P., Xu, L., Tailor, D., Möllenhoff, T., & Khan, M. E. (2023). The Memory Perturbation Equation: Understanding Model's Sensitivity to Data. In A. Oh, T. Naumann, A. Globerson, K. Saenko, M. Hardt, & S. Levine (Eds.), 37th Conference on Neural Information Processing Systems (NeurIPS 2023): 10-16 December 2023, New Orleans, Louisana, USA (pp. 26923-26949). (Advances in Neural Information Processing Systems; Vol. 36). Neural Information Processing Systems Foundation. https://doi.org/10.48550/arXiv.2310.19273, https://doi.org/10.52202/075280-1170
  • Open Access
    Castro, R. M., Hellström, F., & van Erven, T. (2023). Adaptive Selective Sampling for Online Prediction with Experts. In A. Oh, T. Naumann, A. Globerson, K. Saenko, M. Hardt, & S. Levine (Eds.), 37th Conference on Neural Information Processing Systems (NeurIPS 2023): 10-16 December 2023, New Orleans, Louisana, USA (pp. 134-154). (Advances in Neural Information Processing Systems; Vol. 36). Neural Information Processing Systems Foundation. https://doi.org/10.52202/075280-0008
  • Open Access
    van Krieken, E., Thanapalasingam, T., Tomczak, J. M., van Harmelen, F., & ten Teije, A. (2023). A-NeSI: A Scalable Approximate Method for Probabilistic Neurosymbolic Inference. In A. Oh, T. Naumann, A. Globerson, K. Saenko, M. Hardt, & S. Levine (Eds.), 37th Conference on Neural Information Processing Systems (NeurIPS 2023): 10-16 December 2023, New Orleans, Louisana, USA (pp. 24586-24609). (Advances in Neural Information Processing Systems; Vol. 36). Neural Information Processing Systems Foundation. https://doi.org/10.52202/075280-1069
  • Open Access
    Ruhe, D., Brandstetter, J., & Forré, P. (2023). Clifford Group Equivariant Neural Networks. In A. Oh, T. Naumann, A. Globerson, K. Saenko, M. Hardt, & S. Levine (Eds.), 37th Conference on Neural Information Processing Systems (NeurIPS 2023): 10-16 December 2023, New Orleans, Louisana, USA (pp. 62922-62990). (Advances in Neural Information Processing Systems; Vol. 36). Neural Information Processing Systems Foundation. https://doi.org/10.52202/075280-2748
  • Open Access
    Rastegar, S., Doughty, H., & Snoek, C. G. M. (2023). Learn to Categorize or Categorize to Learn? Self-Coding for Generalized Category Discovery. In A. Oh, T. Naumann, A. Globerson, K. Saenko, M. Hardt, & S. Levine (Eds.), 37th Conference on Neural Information Processing Systems (NeurIPS 2023): 10-16 December 2023, New Orleans, Louisana, USA (pp. 72794-72818). (Advances in Neural Information Processing Systems; Vol. 36). Neural Information Processing Systems Foundation. https://doi.org/10.52202/075280-3183
  • Open Access
    Beckers, S. (2023). Moral Responsibility for AI Systems. In A. Oh, T. Naumann, A. Globerson, K. Saenko, M. Hardt, & S. Levine (Eds.), 37th Conference on Neural Information Processing Systems (NeurIPS 2023): 10-16 December 2023, New Orleans, Louisana, USA (pp. 4295-4308). (Advances in Neural Information Processing Systems; Vol. 36). Neural Information Processing Systems Foundation. https://doi.org/10.48550/arXiv.2310.18040, https://doi.org/10.52202/075280-0190
  • Open Access
    Wu, L., Trippe, B. L., Naesseth, C. A., Blei, D. M., & Cunningham, J. P. (2023). Practical and Asymptotically Exact Conditional Sampling in Diffusion Models. In A. Oh, T. Naumann, A. Globerson, K. Saenko, M. Hardt, & S. Levine (Eds.), 37th Conference on Neural Information Processing Systems (NeurIPS 2023): 10-16 December 2023, New Orleans, Louisana, USA (pp. 31372-31403). (Advances in Neural Information Processing Systems; Vol. 36). Neural Information Processing Systems Foundation. https://doi.org/10.48550/arXiv.2306.17775, https://doi.org/10.52202/075280-1363
  • Open Access
    Esmaeili, B., Walters, R., Zimmermann, H., & van de Meent, J.-W. (2023). Topological Obstructions and How to Avoid Them. In A. Oh, T. Naumann, A. Globerson, K. Saenko, M. Hardt, & S. Levine (Eds.), 37th Conference on Neural Information Processing Systems (NeurIPS 2023): 10-16 December 2023, New Orleans, Louisana, USA (pp. 8865-8884). (Advances in Neural Information Processing Systems; Vol. 36). Neural Information Processing Systems Foundation. https://doi.org/10.52202/075280-0388
  • Open Access
    Lunansky, G., Hoekstra, R. H. A., & Blanken, T. F. (2023). Disentangling the Role of Affect in the Evolution of Depressive Complaints Using Complex Dynamical Networks. Collabra: Psychology, 9, Article 74841. https://doi.org/10.1525/collabra.74841
Page 1261 of 7880