Vedant Nanda

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Krishna P. GummadiHead, Networked Systems Group, MPI-SWSVerified email at mpi-sws.org
John P. DickersonAssociate Professor of Computer Science, University of Maryland & Chief Scientist, Arthur AIVerified email at cs.umd.edu
Soheil FeiziUniversity of Maryland, College ParkVerified email at cs.umd.edu
Till SpeicherPhD student, Planck Institute for Software Systems (MPI-SWS)Verified email at mpi-sws.org
Aravind SrinivasanProfessor of Computer Science and Distinguished University Professor, University of MarylandVerified email at umd.edu
Adrian WellerDirector of Research, Machine Learning, University of CambridgeVerified email at eng.cam.ac.uk
Camila KollingMax-Planck Institute for Software Systems (MPI-SWS)Verified email at mpi-sws.org
Sahil SinglaUniversity of MarylandVerified email at cs.umd.edu
Samuel DooleyAbacus.AIVerified email at abacus.ai
Hoda HeidariCarnegie Mellon UniversityVerified email at cmu.edu
Karthik Abinav SankararamanMeta/Facebook, University of Maryland, College ParkVerified email at fb.com
Pan XuDepartment of Computer Science, New Jersey Institute of TechnologyVerified email at njit.edu
Ponnurangam Kumaraguru "PK"#ProfGiri Computer Science @ IIIT Hyderabad, Alumni @ Carnegie Mellon & @ BITS PilaniVerified email at iiit.ac.in
Ayan MajumdarPhD Student, Max Planck Institute for Software Systems, Saarland UniversityVerified email at mpi-sws.org
Bradley C. LoveProfessor of Cognitive and Decision Sciences, University College LondonVerified email at ucl.ac.uk
Tom GoldsteinVolpi-Cupal Professor of Computer Science, University of MarylandVerified email at cs.umd.edu
Micah GoldblumColumbia UniversityVerified email at columbia.edu
Seyed A EsmaeiliPostdoc, University of ChicagoVerified email at uchicago.edu
Evimaria TerziProfessor of Computer Science, Boston UniversityVerified email at cs.bu.edu
Soumi DasPost Doc, MPI-SWSVerified email at mpi-sws.org

Vedant Nanda

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Trustworthy Deep Learning


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Fairness Through Robustness: Investigating Robustness Disparity in Deep Learning V Nanda, S Dooley, S Singla, S Feizi, JP Dickerson FAccT, 2021	99	2021
Balancing the Tradeoff between Profit and Fairness in Rideshare Platforms During High-Demand Hours V Nanda, P Xu, KA Sankararaman, JP Dickerson, A Srinivasan AAAI, 2020	77	2020
On the Long-term Impact of Algorithmic Decision Policies: Effort Unfairness and Feature Segregation through Social Learning H Heidari, V Nanda, KP Gummadi ICML, 2019	77	2019
Technical Challenges for Training Fair Neural Networks V Cherepanova, V Nanda, M Goldblum, JP Dickerson, T Goldstein ICLR2021 Workshop on Responsible AI, 2021	18	2021
Rawlsian Fairness in Online Bipartite Matching: Two-sided, Group, and Individual SA Esmaeili, S Duppala, D Cheng, V Nanda, A Srinivasan, JP Dickerson AAAI, 2023	16	2023
Measuring Representational Robustness of Neural Networks Through Shared Invariances V Nanda, T Speicher, C Kolling, JP Dickerson, K Gummadi, A Weller ICML, 16368-16382, 2022	14*	2022
Do Invariances in Deep Neural Networks Align with Human Perception? V Nanda, A Majumdar, C Kolling, JP Dickerson, KP Gummadi, BC Love, ... AAAI, 2023	10*	2023
Stop the KillFies! Using Deep Learning Models to Identify Dangerous Selfies V Nanda, H Lamba, D Agarwal, M Arora, N Sachdeva, P Kumaraguru Companion Proceedings of the The Web Conference, 2018	7	2018
Leveraging facebook's free basics engine for web service deployment in developing regions S Singh, V Nanda, R Sen, S Sengupta, P Kumaraguru, KP Gummadi ICTD, 2017	3	2017
Towards Reliable Latent Knowledge Estimation in LLMs: In-Context Learning vs. Prompting Based Factual Knowledge Extraction Q Wu, MA Khan, S Das, V Nanda, B Ghosh, C Kolling, T Speicher, ... arXiv preprint arXiv:2404.12957, 2024	2	2024
What happens during finetuning of vision transformers: An invariance based investigation G Merlin, V Nanda, R Rawal, M Toneva Conference on Lifelong Learning Agents, 601-619, 2023	2	2023
Diffused Redundancy in Pre-trained Representations V Nanda, T Speicher, JP Dickerson, S Feizi, KP Gummadi, A Weller NeurIPS, 2023	2	2023
An Empirical Analysis of Facebook's Free Basics. S Singh, V Nanda, R Sen, S Ahmad, S Sengupta, A Phokeer, ZA Farooq, ... SIGMETRICS (Abstracts), 2017	2	2017
Understanding the mechanics and dynamics of memorisation in large language models: A case study with random strings T Speicher, AM Khan, Q Wu, V Nanda, S Das, B Ghosh, KP Gummadi, ...	1	2024
Unifying Model Explainability and Robustness via Machine-Checkable Concepts V Nanda, T Speicher, JP Dickerson, KP Gummadi, MB Zafar arXiv preprint arXiv:2007.00251, 2020	1	2020
Understanding Memorisation in LLMs: Dynamics, Influencing Factors, and Implications T Speicher, MA Khan, Q Wu, V Nanda, S Das, B Ghosh, KP Gummadi, ... arXiv preprint arXiv:2407.19262, 2024		2024
Lawma: The Power of Specialization for Legal Tasks R Dominguez-Olmedo, V Nanda, R Abebe, S Bechtold, C Engel, ... arXiv preprint arXiv:2407.16615, 2024		2024
Understanding the Role of Invariance in Transfer Learning T Speicher, V Nanda, KP Gummadi arXiv preprint arXiv:2407.04325, 2024		2024
FOUNDATIONS OF TRUSTWORTHY DEEP LEARNING: FAIRNESS, ROBUSTNESS, AND EXPLAINABILITY V Nanda PhD Thesis, University of Maryland, 2024		2024
Pointwise Representational Similarity C Kolling, T Speicher, V Nanda, M Toneva, KP Gummadi arXiv preprint arXiv:2305.19294, 2023		2023

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