Arjun Seshadri

According to our database, Arjun Seshadri authored at least 10 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

B'MOJO: Hybrid State Space Realizations of Foundation Models with Eidetic and Fading Memory.

Luca Zancato, Arjun Seshadri, Yonatan Dukler, Aditya Golatkar, Yantao Shen, Benjamin Bowman, Matthew Trager, Alessandro Achille, Stefano Soatto

CoRR, 2024

Diffusion Soup: Model Merging for Text-to-Image Diffusion Models.

Benjamin Biggs, Arjun Seshadri, Yang Zou, Achin Jain, Aditya Golatkar, Yusheng Xie, Alessandro Achille, Ashwin Swaminathan, Stefano Soatto

CoRR, 2024

Re-visiting Skip-Gram Negative Sampling: Dimension Regularization for More Efficient Dissimilarity Preservation in Graph Embeddings.

David Liu, Arjun Seshadri, Tina Eliassi-Rad, Johan Ugander

CoRR, 2024

2023

Rank-heterogeneous Preference Models for School Choice.

Amel Awadelkarim, Arjun Seshadri, Itai Ashlagi, Irene Lo, Johan Ugander

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

HandsOff: Labeled Dataset Generation With No Additional Human Annotations.

Austin Xu, Mariya I. Vasileva, Achal Dave, Arjun Seshadri

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

RecXplainer: Post-Hoc Attribute-Based Explanations for Recommender Systems.

Sahil Verma, Anurag Beniwal, Narayanan Sadagopan, Arjun Seshadri

CoRR, 2022

Contrastive Learning for Interactive Recommendation in Fashion.

Karin Sevegnani, Arjun Seshadri, Tian Wang, Anurag Beniwal, Julian J. McAuley, Alan Lu, Gerard Medioni

CoRR, 2022

2020

Learning Rich Rankings.

Arjun Seshadri, Stephen Ragain, Johan Ugander

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Discovering Context Effects from Raw Choice Data.

Arjun Seshadri, Alex Peysakhovich, Johan Ugander

Proceedings of the 36th International Conference on Machine Learning, 2019

Fundamental Limits of Testing the Independence of Irrelevant Alternatives in Discrete Choice.

Arjun Seshadri, Johan Ugander

Proceedings of the 2019 ACM Conference on Economics and Computation, 2019