| Discovering Context Effects from Raw Choice Data A Seshadri, A Peysakhovich, J Ugander arXiv preprint arXiv:1902.03266, 2019 | 33 | 2019 |
| Learning rich rankings A Seshadri, S Ragain, J Ugander Advances in Neural Information Processing Systems 33, 9435-9446, 2020 | 21 | 2020 |
| Tank circuit for ultrafast single-particle detection in micropores A Bhat, PV Gwozdz, A Seshadri, M Hoeft, RH Blick Physical review letters 121 (7), 078102, 2018 | 18 | 2018 |
| Diffusion soup: Model merging for text-to-image diffusion models B Biggs, A Seshadri, Y Zou, A Jain, A Golatkar, Y Xie, A Achille, ... European Conference on Computer Vision, 257-274, 2024 | 10 | 2024 |
| Contrastive learning for interactive recommendation in fashion K Sevegnani, A Seshadri, T Wang, A Beniwal, J McAuley, A Lu, G Medioni arXiv preprint arXiv:2207.12033, 2022 | 10 | 2022 |
| Fundamental limits of testing the independence of irrelevant alternatives in discrete choice A Seshadri, J Ugander Proceedings of the 2019 ACM Conference on Economics and Computation, 65-66, 2019 | 10 | 2019 |
| Handsoff: Labeled dataset generation with no additional human annotations A Xu, MI Vasileva, A Dave, A Seshadri Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 8 | 2023 |
| B'MOJO: Hybrid State Space Realizations of Foundation Models with Eidetic and Fading Memory L Zancato, A Seshadri, Y Dukler, A Golatkar, Y Shen, B Bowman, ... arXiv preprint arXiv:2407.06324, 2024 | 6 | 2024 |
| Recxplainer: post-hoc attribute-based explanations for recommender systems S Verma, A Beniwal, N Sadagopan, A Seshadri | 4 | 2022 |
| Rank-heterogeneous preference models for school choice A Awadelkarim, A Seshadri, I Ashlagi, I Lo, J Ugander Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 2 | 2023 |
| Ultra-stable glass microcraters for on-chip patch clamping E Stava, HC Shin, M Yu, A Bhat, P Resto, A Seshadri, JC Williams, ... RSC Advances 4 (73), 39073-39076, 2014 | 2 | 2014 |
| RecXplainer: Amortized Attribute-based Personalized Explanations for Recommender Systems S Verma, C Shah, JP Dickerson, A Beniwal, N Sadagopan, A Seshadri arXiv preprint arXiv:2211.14935, 2022 | 1 | 2022 |
| Re-visiting Skip-Gram Negative Sampling: Dimension Regularization for More Efficient Dissimilarity Preservation in Graph Embeddings D Liu, A Seshadri, T Eliassi-Rad, J Ugander arXiv preprint arXiv:2405.00172, 2024 | | 2024 |
| Learning Preferences from Choices and Rankings A Seshadri Stanford University, 2021 | | 2021 |
| Radio-Frequency Tank Circuit for DNA Sequencing PV Gwozdz, A Bhat, R Blick, A Seshadri, E Stava Biophysical Journal 106 (2), 415a-416a, 2014 | | 2014 |
| Bypassing Skip-Gram Negative Sampling: Dimension Regularization as a More Efficient Alternative for Graph Embeddings DM Liu, A Seshadri, T Eliassi-Rad, J Ugander | | |
| Transfer Learning: The Impact of Test Set Word Vectors, with Applications to Political Tweets N Garg, A Seshadri | | |
