Deep Learning Theory Retreat - 2023
Elma Hotel, Zikhron Yaakov - February 19-20, 2023
- Ido Amos (Amir Globerson) - "S4 in high dimensions"
- Noga Bar (Raja Giryes) - "Pruning at Initialization - A Sketching Perspective"
- Dana Weitzner (Raja Giryes) - "Relationship between data dimensionality and generalization"
- Noam Razin & Tom Verbin (Nadav Cohen) - "On the Ability of Graph Neural Networks to Model Interactions
- Yotam Alexander & Nimrod De La Vega (Nadav Cohen) - "Deep Learning on High-Dimensional Spatially Unstructured Data via Elements of Quantum Entanglement"
- Giora Simchoni (Saharon Rosset) - "Integrating Random Effects in Variational Autoencoders for Dimensionality Reduction of Correlated Data"
- Oren Yuval (Saharon Rosset )- "Mixed Semi-Supervised Generalized-Linear-Regression with applications to Deep learning"
- Idan Amir (Roi Livni) - " Thinking Outside the Ball: Optimal Learning with Gradient Descent for Generalized Linear Stochastic Convex Optimization"
- Uri Sherman (Tomer Koren & Yishay Mansour) - TBD
- Shmuel Bar David (Lior Wolf) - "S4 for RL"
- Michael Rotman (Lior Wolf) - "Unsupervised Disentanglement with Tensor Product Representations on the Torus"
- Tal Lancewick (Yishay Mansour) - "Near-Optimal Regret for Adversarial MDP with Delayed Bandit Feedback"
- Orin Levy (Yishay Mansour) - "Contextual MDP"
- Nimrod Harel (Ran Gilad Bachrach) - "Inherent Inconsistencies of feature importance"
- Eliav Mor (Yair Carmon) - "An Analytical Model for Interpolating Learning Under Class Imbalance"
- Maor Kehati (Yair Carmon) - "ICR-FT: Initialization-Consistency Regularized Fine Tuning"
