Andrei Atanov - RankMe

23 papers A* 4Journal 14Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Controlled Training Data Generation with Diffusion Models. Trans. Mach. Learn. Res. Teresa Yeo, Andrei Atanov, Harold Benoit, Aleksandr Alekseev, Ruchira Ray, Pooya Esmaeil Akhoondi, Amir Zamir
2025	J	`jnl`	How Well Does GPT-4o Understand Vision? Evaluating Multimodal Foundation Models on Standard Computer Vision Tasks. CoRR Rahul Ramachandran, Ali Garjani, Roman Bachmann, Andrei Atanov, Oguzhan Fatih Kar, Amir Zamir
2025	A*	`conf`	Large (Vision) Language Models are Unsupervised In-Context Learners. ICLR Artyom Gadetsky, Andrei Atanov, Yulun Jiang, Zhitong Gao, Ghazal Hosseini Mighan, Amir Zamir, Maria Brbic
2025	J	`jnl`	Large (Vision) Language Models are Unsupervised In-Context Learners. CoRR Artyom Gadetsky, Andrei Atanov, Yulun Jiang, Zhitong Gao, Ghazal Hosseini Mighan, Amir Zamir, Maria Brbic
2024	J	`jnl`	Controlled Training Data Generation with Diffusion Models. CoRR Teresa Yeo, Andrei Atanov, Harold Benoit, Aleksandr Alekseev, Ruchira Ray, Pooya Esmaeil Akhoondi, Amir Zamir
2024	—	`conf`	How Far Can a 1-Pixel Camera Go? Solving Vision Tasks Using Photoreceptors and Computationally Designed Visual Morphology. ECCV (74) Andrei Atanov, Jiawei Fu, Rishubh Singh, Isabella Yu, Andrew Spielberg, Amir Zamir
2024	J	`jnl`	Solving Vision Tasks with Simple Photoreceptors Instead of Cameras. CoRR Andrei Atanov, Jiawei Fu, Rishubh Singh, Isabella Yu, Andrew Spielberg, Amir Zamir
2024	A*	`conf`	Unraveling the Key Components of OOD Generalization via Diversification. ICLR Harold Benoit, Liangze Jiang, Andrei Atanov, Oguzhan Fatih Kar, Mattia Rigotti, Amir Zamir
2023	J	`jnl`	Unraveling the Key Components of OOD Generalization via Diversification. CoRR Harold Benoit, Liangze Jiang, Andrei Atanov, Oguzhan Fatih Kar, Mattia Rigotti, Amir Zamir
2022	A*	`conf`	3D Common Corruptions and Data Augmentation. CVPR Oguzhan Fatih Kar, Teresa Yeo, Andrei Atanov, Amir Zamir
2022	J	`jnl`	3D Common Corruptions and Data Augmentation. CoRR Oguzhan Fatih Kar, Teresa Yeo, Andrei Atanov, Amir Zamir
2022	—	`conf`	MultiMAE: Multi-modal Multi-task Masked Autoencoders. ECCV (37) Roman Bachmann, David Mizrahi, Andrei Atanov, Amir Zamir
2022	J	`jnl`	MultiMAE: Multi-modal Multi-task Masked Autoencoders. CoRR Roman Bachmann, David Mizrahi, Andrei Atanov, Amir Zamir
2022	J	`jnl`	Simple Control Baselines for Evaluating Transfer Learning. CoRR Andrei Atanov, Shijian Xu, Onur Beker, Andrei Filatov, Amir Zamir
2022	A*	`conf`	Task Discovery: Finding the Tasks that Neural Networks Generalize on. NeurIPS Andrei Atanov, Andrei Filatov, Teresa Yeo, Ajay Sohmshetty, Amir Zamir
2022	J	`jnl`	Task Discovery: Finding the Tasks that Neural Networks Generalize on. CoRR Andrei Atanov, Andrei Filatov, Teresa Yeo, Ajay Sohmshetty, Amir Zamir
2021	J	`jnl`	Mean Embeddings with Test-Time Data Augmentation for Ensembling of Representations. CoRR Arsenii Ashukha, Andrei Atanov, Dmitry P. Vetrov
2019	J	`jnl`	Semi-Conditional Normalizing Flows for Semi-Supervised Learning. CoRR Andrei Atanov, Alexandra Volokhova, Arsenii Ashukha, Ivan Sosnovik, Dmitry P. Vetrov
2019	—	`conf`	The Deep Weight Prior. ICLR (Poster) Andrei Atanov, Arsenii Ashukha, Kirill Struminsky, Dmitry P. Vetrov, Max Welling
2019	—	`conf`	Uncertainty Estimation via Stochastic Batch Normalization. ISNN (1) Andrei Atanov, Arsenii Ashukha, Dmitry Molchanov, Kirill Neklyudov, Dmitry P. Vetrov
2018	J	`jnl`	The Deep Weight Prior. Modeling a prior distribution for CNNs using generative models. CoRR Andrei Atanov, Arsenii Ashukha, Kirill Struminsky, Dmitry P. Vetrov, Max Welling
2018	—	`conf`	Uncertainty Estimation via Stochastic Batch Normalization. ICLR (Workshop) Andrei Atanov, Arsenii Ashukha, Dmitry Molchanov, Kirill Neklyudov, Dmitry P. Vetrov
2018	J	`jnl`	Uncertainty Estimation via Stochastic Batch Normalization. CoRR Andrei Atanov, Arsenii Ashukha, Dmitry Molchanov, Kirill Neklyudov, Dmitry P. Vetrov