Uncertainty Estimation via Stochastic Batch Normalization. - Andrei Atanov; Arsenii Ashukha; Dmitry Molchanov; Kirill Neklyudov; Dmitry P. Vetrov (ICLR (Workshop), 2018)

The Deep Weight Prior. Modeling a prior distribution for CNNs using generative models. - Andrei Atanov; Arsenii Ashukha; Kirill Struminsky; Dmitry P. Vetrov; Max Welling (CoRR, 2018)

The Deep Weight Prior. - Andrei Atanov; Arsenii Ashukha; Kirill Struminsky; Dmitry P. Vetrov; Max Welling (ICLR (Poster), 2019)

Semi-Conditional Normalizing Flows for Semi-Supervised Learning. - Andrei Atanov; Alexandra Volokhova; Arsenii Ashukha; Ivan Sosnovik; Dmitry P. Vetrov (CoRR, 2019)

Mean Embeddings with Test-Time Data Augmentation for Ensembling of Representations. - Arsenii Ashukha; Andrei Atanov; Dmitry P. Vetrov (CoRR, 2021)

3D Common Corruptions and Data Augmentation. - Oguzhan Fatih Kar; Teresa Yeo; Andrei Atanov; Amir Zamir (CVPR, 2022)

MultiMAE: Multi-modal Multi-task Masked Autoencoders. - Roman Bachmann 001; David Mizrahi; Andrei Atanov; Amir Zamir (ECCV (37), 2022)

Task Discovery: Finding the Tasks that Neural Networks Generalize on. - Andrei Atanov; Andrei Filatov; Teresa Yeo; Ajay Sohmshetty; Amir Zamir (NeurIPS, 2022)

Simple Control Baselines for Evaluating Transfer Learning. - Andrei Atanov; Shijian Xu; Onur Beker; Andrei Filatov; Amir Zamir (CoRR, 2022)

How Far Can a 1-Pixel Camera Go? Solving Vision Tasks Using Photoreceptors and Computationally Designed Visual Morphology. - Andrei Atanov; Jiawei Fu; Rishubh Singh; Isabella Yu; Andrew Spielberg; Amir Zamir (ECCV (74), 2024)

Unraveling the Key Components of OOD Generalization via Diversification. - Harold Benoit; Liangze Jiang; Andrei Atanov; Oguzhan Fatih Kar; Mattia Rigotti; Amir Zamir (ICLR, 2024)

Solving Vision Tasks with Simple Photoreceptors Instead of Cameras. - Andrei Atanov; Jiawei Fu; Rishubh Singh; Isabella Yu; Andrew Spielberg; Amir Zamir (CoRR, 2024)

Large (Vision) Language Models are Unsupervised In-Context Learners. - Artyom Gadetsky; Andrei Atanov; Yulun Jiang; Zhitong Gao; Ghazal Hosseini Mighan; Amir Zamir; Maria Brbic (ICLR, 2025)

Controlled Training Data Generation with Diffusion Models. - Teresa Yeo; Andrei Atanov; Harold Benoit; Aleksandr Alekseev; Ruchira Ray; Pooya Esmaeil Akhoondi; Amir Zamir (Trans. Mach. Learn. Res., 2025)

How Well Does GPT-4o Understand Vision? Evaluating Multimodal Foundation Models on Standard Computer Vision Tasks. - Rahul Ramachandran; Ali Garjani; Roman Bachmann 001; Andrei Atanov; Oguzhan Fatih Kar; Amir Zamir (CoRR, 2025)