Yasaman Bahri
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
7
Venues
2
Active years
2017–2025
Best venue rank
A*
Where they publish
Papers
7 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | CURIE: Evaluating LLMs on Multitask Scientific Long-Context Understanding and Reasoning. | Hao Cui, Zahra Shamsi, Gowoon Cheon, Xuejian Ma, Shutong Li, Maria Tikhanovskaya, Peter Christian Norgaard, Nayantara Mudur, Martyna Beata Plomecka, Paul Raccuglia, Yasaman Bahri, Victor V. Albert, Pranesh Srinivasan, Haining Pan, Philippe Faist, Brian Rohr, Michael J. Statt, Dan Morris, Drew Purves, Elise Kleeman, et al. |
| 2020 | ICML | Infinite attention: NNGP and NTK for deep attention networks. | Jiri Hron, Yasaman Bahri, Jascha Sohl-Dickstein, Roman Novak |
| 2019 | ICLR | Bayesian Deep Convolutional Networks with Many Channels are Gaussian Processes. | Roman Novak, Lechao Xiao, Yasaman Bahri, Jaehoon Lee, Greg Yang, Jiri Hron, Daniel A. Abolafia, Jeffrey Pennington, Jascha Sohl-Dickstein |
| 2018 | ICLR | Deep Neural Networks as Gaussian Processes. | Jaehoon Lee, Yasaman Bahri, Roman Novak, Samuel S. Schoenholz, Jeffrey Pennington, Jascha Sohl-Dickstein |
| 2018 | ICLR | Sensitivity and Generalization in Neural Networks: an Empirical Study. | Roman Novak, Yasaman Bahri, Daniel A. Abolafia, Jeffrey Pennington, Jascha Sohl-Dickstein |
| 2018 | ICML | Dynamical Isometry and a Mean Field Theory of CNNs: How to Train 10, 000-Layer Vanilla Convolutional Neural Networks. | Lechao Xiao, Yasaman Bahri, Jascha Sohl-Dickstein, Samuel S. Schoenholz, Jeffrey Pennington |
| 2017 | ICML | Geometry of Neural Network Loss Surfaces via Random Matrix Theory. | Jeffrey Pennington, Yasaman Bahri |