Andrei Atanov

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 18

Top Topics

Stochastic Simulation

Diffusion Models

Labeled Examples

Supervised Learning

Top Venues

Publications

Andrei Atanov, Jiawei Fu, Rishubh Singh, Isabella Yu, Andrew Spielberg, Amir Zamir
Solving Vision Tasks with Simple Photoreceptors Instead of Cameras. CoRR (2024)
Harold Benoit, Liangze Jiang, Andrei Atanov, Oguzhan Fatih Kar, Mattia Rigotti, Amir Zamir
Unraveling the Key Components of OOD Generalization via Diversification. ICLR (2024)
Teresa Yeo, Andrei Atanov, Harold Benoit, Aleksandr Alekseev, Ruchira Ray, Pooya Esmaeil Akhoondi, Amir Zamir
Controlled Training Data Generation with Diffusion Models. CoRR (2024)
Harold Benoit, Liangze Jiang, Andrei Atanov, Oguzhan Fatih Kar, Mattia Rigotti, Amir Zamir
Unraveling the Key Components of OOD Generalization via Diversification. CoRR (2023)
Oguzhan Fatih Kar, Teresa Yeo, Andrei Atanov, Amir Zamir
3D Common Corruptions and Data Augmentation. CoRR (2022)
Andrei Atanov, Shijian Xu, Onur Beker, Andrei Filatov, Amir Zamir
Simple Control Baselines for Evaluating Transfer Learning. CoRR (2022)
Oguzhan Fatih Kar, Teresa Yeo, Andrei Atanov, Amir Zamir
3D Common Corruptions and Data Augmentation. CVPR (2022)
Roman Bachmann, David Mizrahi, Andrei Atanov, Amir Zamir
MultiMAE: Multi-modal Multi-task Masked Autoencoders. ECCV (37) (2022)
Andrei Atanov, Andrei Filatov, Teresa Yeo, Ajay Sohmshetty, Amir Zamir
Task Discovery: Finding the Tasks that Neural Networks Generalize on. NeurIPS (2022)
Roman Bachmann, David Mizrahi, Andrei Atanov, Amir Zamir
MultiMAE: Multi-modal Multi-task Masked Autoencoders. CoRR (2022)
Andrei Atanov, Andrei Filatov, Teresa Yeo, Ajay Sohmshetty, Amir Zamir
Task Discovery: Finding the Tasks that Neural Networks Generalize on. CoRR (2022)
Arsenii Ashukha, Andrei Atanov, Dmitry P. Vetrov
Mean Embeddings with Test-Time Data Augmentation for Ensembling of Representations. CoRR (2021)
Andrei Atanov, Arsenii Ashukha, Kirill Struminsky, Dmitry P. Vetrov, Max Welling
The Deep Weight Prior. ICLR (Poster) (2019)
Andrei Atanov, Arsenii Ashukha, Dmitry Molchanov, Kirill Neklyudov, Dmitry P. Vetrov
Uncertainty Estimation via Stochastic Batch Normalization. ISNN (1) (2019)
Andrei Atanov, Alexandra Volokhova, Arsenii Ashukha, Ivan Sosnovik, Dmitry P. Vetrov
Semi-Conditional Normalizing Flows for Semi-Supervised Learning. CoRR (2019)
Andrei Atanov, Arsenii Ashukha, Dmitry Molchanov, Kirill Neklyudov, Dmitry P. Vetrov
Uncertainty Estimation via Stochastic Batch Normalization. CoRR (2018)
Andrei Atanov, Arsenii Ashukha, Kirill Struminsky, Dmitry P. Vetrov, Max Welling
The Deep Weight Prior. Modeling a prior distribution for CNNs using generative models. CoRR (2018)
Andrei Atanov, Arsenii Ashukha, Dmitry Molchanov, Kirill Neklyudov, Dmitry P. Vetrov
Uncertainty Estimation via Stochastic Batch Normalization. ICLR (Workshop) (2018)