Ella Tamir

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 8

Top Topics

Bayesian Inference

Lower Dimension

Top Venues

Trans. Mach. Learn. Res.

Publications

Aidan Scannell, Riccardo Mereu, Paul E. Chang, Ella Tamir, Joni Pajarinen, Arno Solin
Function-space Parameterization of Neural Networks for Sequential Learning. CoRR (2024)
Aidan Scannell, Riccardo Mereu, Paul Edmund Chang, Ella Tamir, Joni Pajarinen, Arno Solin
Function-space Parameterization of Neural Networks for Sequential Learning. ICLR (2024)
Ella Tamir, Arno Solin
Learning to Approximate Particle Smoothing Trajectories via Diffusion Generative Models. CoRR (2024)
Ella Tamir, Martin Trapp, Arno Solin
Transport with Support: Data-Conditional Diffusion Bridges. CoRR (2023)
Aidan Scannell, Riccardo Mereu, Paul E. Chang, Ella Tamir, Joni Pajarinen, Arno Solin
Sparse Function-space Representation of Neural Networks. CoRR (2023)
Ella Tamir, Martin Trapp, Arno Solin
Transport with Support: Data-Conditional Diffusion Bridges. Trans. Mach. Learn. Res. 2023 (2023)
Arno Solin, Ella Tamir, Prakhar Verma
Scalable Inference in SDEs by Direct Matching of the Fokker-Planck-Kolmogorov Equation. CoRR (2021)
Arno Solin, Ella Tamir, Prakhar Verma
Scalable Inference in SDEs by Direct Matching of the Fokker-Planck-Kolmogorov Equation. NeurIPS (2021)