publication venue for
- A Theoretical Analysis of the Test Error of Finite-Rank Kernel Ridge Regression 2023
- AND: Adversarial Neural Degradation for Learning Blind Image Super-Resolution 2023
- Decorate3D: Text-Driven High-Quality Texture Generation for Mesh Decoration in theWild 2023
- On the Choice of Perception Loss Function for Learned Video Compression 2023
- On the Role of Noise in the Sample Complexity of Learning Recurrent Neural Networks: Exponential Gaps for Long Sequences 2023
- Benefits of Additive Noise in Composing Classes with Bounded Capacity 2022
- Beyond Adult and COMPAS: Fair Multi-Class Prediction via Information Projection 2022
- Noise Attention Learning: Enhancing Noise Robustness by Gradient Scaling 2022
- Functional Neural Networks for Parametric Image Restoration Problems 2021
- Robust Counterfactual Explanations on Graph Neural Networks 2021
- Universal Rate-Distortion-Perception Representations for Lossy Compression 2021
- Non-Euclidean universal approximation 2020
- On Numerosity of Deep Neural Networks 2020
- Disentangled behavioral representations 2019
- Nearly tight sample complexity bounds for learning mixtures of Gaussians via sample compression schemes 2018
- Clustering with Same-Cluster Queries 2016
- Deep Learning for Predicting Human Strategic Behavior 2016
- Predicting speech intelligibility from a population of neurons 2004
- Modelling spatial recall, mental imagery and neglect 2001
- A model for associative multiplication 1999
- Learning temporally persistent hierarchical representations 1997
- JPMAX: Learning to Recognize Moving Objects as a Model-fitting Problem 1995
- Learning to categorize objects using temporal coherence 1992
- Privately Learning Mixtures of Axis-Aligned Gaussians. 34. 2021