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polina kirichenko contact me at pk1822 nyu edu or on twitter google scholar semantic scholar cv i am a machine learning researcher broadly interested in building trustworthy reliable and safe foundation models currently i am a research scientist at fair meta working with jason weston i also actively collaborate with princeton visual ai lab and olga russakovsky i completed my phd at new york university center for data science working with professor andrew gordon wilson during my phd i interned at meta fair google deepmind and cold spring harbor laboratory prior to that i received a bs in computer science at higher school of economics where i worked with professor dmitry vetrov i was also a visiting research student at epfl with professors martin jaggi and dan alistarh i am a recipient of the google generation scholarship and the deepmind fellowship selected publications for full list see google scholar muse spark safety preparedness report msl preparedness red teaming alignment team ai security team role contributor to evaluations and experiments preprint 2026 link visual compositional tuning xindi wu hee seung hwang polina kirichenko esin tureci olga russakovsky international conference on learning representations iclr 2026 arxiv abstentionbench reasoning llms fail on unanswerable questions polina kirichenko mark ibrahim kamalika chaudhuri samuel bell neural information processing systems neurips 2025 used in gpt 5 system card arxiv code what s in common multimodal models hallucinate when reasoning across scenes candace ross florian bordes adina williams polina kirichenko mark ibrahim neural information processing systems neurips 2025 arxiv the impact of coreset selection on spurious correlations and group robustness amaya dharmasiri william yang polina kirichenko lydia liu olga russakovsky neural information processing systems neurips 2025 arxiv decomposed evaluations of geographic disparities in text to image models abhishek sureddy dishant padalia nandhinee periyakaruppa oindrila saha adina williams adriana romero soriano megan richards polina kirichenko melissa hall icml trustworthy multi modal foundation models workshop 2024 outstanding paper award and oral presentation arxiv modeling caption diversity in contrastive vision language pretraining samuel lavoie polina kirichenko mark ibrahim mahmoud assran andrew gordon wildon aaron courville nicolas ballas international conference on machine learning icml 2024 arxiv does progress on object recognition benchmarks improve generalization on crowdsourced global data megan richards polina kirichenko diane bouchacourt mark ibrahim icml data centric machine learning research workshop 2023 international conference on learning representations iclr 2024 arxiv understanding the detrimental class level effects of data augmentation polina kirichenko mark ibrahim randall balestriero diane bouchacourt rama vedantam hamed firooz andrew gordon wilson icml workshop on spurious correlations invariance and stability 2023 neural information processing systems neurips 2023 arxiv last layer re training is sufficient for robustness to spurious correlations polina kirichenko pavel izmailov andrew gordon wilson icml workshop on spurious correlations invariance and stability 2022 oral presentation international conference on learning representations iclr 2023 spotlight notable top 25 arxiv code on feature learning in the presence of spurious correlations pavel izmailov polina kirichenko nate gruver andrew gordon wilson neural information processing systems neurips 2022 arxiv code does knowledge distillation really work samuel stanton pavel izmailov polina kirichenko alexander a alemi andrew gordon wilson neural information processing systems neurips 2021 arxiv why normalizing flows fail to detect out of distribution data polina kirichenko pavel izmailov andrew gordon wilson icml workshop on invertible neural networks and normalizing flows 2020 neural information processing systems neurips 2020 arxiv poster selected invited talks abstentionbench reasoning llms fail on unanswerable questions ml collective slides abstentionbench reasoning llms fail on unanswerable questions invited lecture at cornell tech addressing robustness to biases in vision foundation models invited talk at the eccv 2024 workshop on uncertainty quantification for computer vision last layer re training is sufficient for robustness to spurious correlations oral presentation at icml 2022 workshop on spurious correlations invariance and stability spotlight presentation at iclr 2023 video applications of normalizing flows semi supervised learning anomaly detection and continual learning keynote talk at icml 2021 workshop on representation learning for finance and e commerce applications video understanding semantic anomaly detection with generative networks ml collective 2021 deep learning classics and trends slides normalizing flows for anomaly detection technical university of denmark video anomaly detection via generative models open data science dafafest 2020 uncertainty in ml workshop video why normalizing flows fail to detect out of distribution data innf workshop at icml 2020 neurips 2020 icml video neurips video how do we build neural networks we can trust broad institute of mit and harvard video slides subspace inference for bayesian deep learning contributed talk at the icml workshop on uncertainty robustness in deep learning video slides workshop organization demographic diversity in computer vision at cvpr 2025 link spurious correlation and shortcut learning at iclr 2025 link