Yair Schiff
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
9
Venues
3
Active years
2021–2025
Best venue rank
A*
Where they publish
Papers
9 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Simple Guidance Mechanisms for Discrete Diffusion Models. | Yair Schiff, Subham Sekhar Sahoo, Hao Phung, Guanghan Wang, Sam Boshar, Hugo Dalla-torre, Bernardo P. de Almeida, Alexander M. Rush, Thomas Pierrot, Volodymyr Kuleshov |
| 2024 | ICML | Caduceus: Bi-Directional Equivariant Long-Range DNA Sequence Modeling. | Yair Schiff, Chia-Hsiang Kao, Aaron Gokaslan, Tri Dao, Albert Gu, Volodymyr Kuleshov |
| 2024 | ICML | DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems. | Yair Schiff, Zhong Yi Wan, Jeffrey B. Parker, Stephan Hoyer, Volodymyr Kuleshov, Fei Sha, Leonardo Zepeda-Nez |
| 2023 | ICLR | Learning with Stochastic Orders. | Carles Domingo-Enrich, Yair Schiff, Youssef Mroueh |
| 2023 | ICLR | Semi-Parametric Inducing Point Networks and Neural Processes. | Richa Rastogi, Yair Schiff, Alon Hacohen, Zhaozhi Li, Ian Lee, Yuntian Deng, Mert R. Sabuncu, Volodymyr Kuleshov |
| 2023 | ICML | Semi-Autoregressive Energy Flows: Exploring Likelihood-Free Training of Normalizing Flows. | Phillip Si, Zeyi Chen, Subham Sekhar Sahoo, Yair Schiff, Volodymyr Kuleshov |
| 2023 | ICML | InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models. | Yingheng Wang, Yair Schiff, Aaron Gokaslan, Weishen Pan, Fei Wang, Christopher De Sa, Volodymyr Kuleshov |
| 2022 | ICASSP | Augmenting Molecular Deep Generative Models with Topological Data Analysis Representations. | Yair Schiff, Vijil Chenthamarakshan, Samuel C. Hoffman, Karthikeyan Natesan Ramamurthy, Payel Das |
| 2021 | ICASSP | Tabular Transformers for Modeling Multivariate Time Series. | Inkit Padhi, Yair Schiff, Igor Melnyk, Mattia Rigotti, Youssef Mroueh, Pierre L. Dognin, Jerret Ross, Ravi Nair, Erik R. Altman |