Vedant Nanda

36 papers A* 7A 2C 2Journal 19Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Family of LLMs Liberated from Static Vocabularies.
CoRR
Adnen Abdessaied, Artur Baranowski, Lukas Balles, Michael Barlow, Fabien C. Y. Benureau, Felix Berkenkamp, Lukas Bluebaum, Bastian Boll, Thomas F. Burns, Björn Deiseroth, Constantin Eichenberg, David Friede, Pablo Iyu Guerrero, Ahmed Hammam, Bastian Harren, Johann Higl, Yasser Jadidi, Carina Kauf, Johannes Messner, Jan Hendrik Metzen, Max Meuer, Vedant Nanda, Pit Neitemeier, Koen Oostermeijer, Letitia Parcalabescu, Markus Pernpointner, Felix Reinfurt, Dylan Rodriquez, Grégory Schott, Philipp Siedler, Martin Simonovsky, Till Speicher, Volker Stampa, Stephan Wäldchen, Samuel Weinbach, Gregor Ziegltrum
2025 J jnl
Investigating the Effects of Fairness Interventions Using Pointwise Representational Similarity.
Trans. Mach. Learn. Res.
Camila Kolling, Till Speicher, Vedant Nanda, Mariya Toneva, Krishna P. Gummadi
2025 A* conf
Lawma: The Power of Specialization for Legal Annotation.
ICLR
Ricardo Dominguez-Olmedo, Vedant Nanda, Rediet Abebe, Stefan Bechtold, Christoph Engel, Jens Frankenreiter, Krishna P. Gummadi, Moritz Hardt, Michael Livermore
2025 — conf
The Impact of Inference Acceleration on Bias of LLMs.
NAACL (Long Papers)
Elisabeth Kirsten, Ivan Habernal, Vedant Nanda, Muhammad Bilal Zafar
2025 A conf
Towards Reliable Latent Knowledge Estimation in LLMs: Zero-Prompt Many-Shot Based Factual Knowledge Extraction.
WSDM
Qinyuan Wu, Mohammad Aflah Khan, Soumi Das, Vedant Nanda, Bishwamittra Ghosh, Camila Kolling, Till Speicher, Laurent Bindschaedler, Krishna P. Gummadi, Evimaria Terzi
2024 — —
Foundations of Trustworthy Deep Learning: Fairness, robustness, and Explainability.
Vedant Nanda
2024 J jnl
Lawma: The Power of Specialization for Legal Tasks.
CoRR
Ricardo Dominguez-Olmedo, Vedant Nanda, Rediet Abebe, Stefan Bechtold, Christoph Engel, Jens Frankenreiter, Krishna P. Gummadi, Moritz Hardt, Michael Livermore
2024 J jnl
The Impact of Inference Acceleration Strategies on Bias of LLMs.
CoRR
Elisabeth Kirsten, Ivan Habernal, Vedant Nanda, Muhammad Bilal Zafar
2024 J jnl
Towards Reliable Latent Knowledge Estimation in LLMs: In-Context Learning vs. Prompting Based Factual Knowledge Extraction.
CoRR
Qinyuan Wu, Mohammad Aflah Khan, Soumi Das, Vedant Nanda, Bishwamittra Ghosh, Camila Kolling, Till Speicher, Laurent Bindschaedler, Krishna P. Gummadi, Evimaria Terzi
2024 J jnl
Understanding Memorisation in LLMs: Dynamics, Influencing Factors, and Implications.
CoRR
Till Speicher, Mohammad Aflah Khan, Qinyuan Wu, Vedant Nanda, Soumi Das, Bishwamittra Ghosh, Krishna P. Gummadi, Evimaria Terzi
2024 J jnl
Understanding the Role of Invariance in Transfer Learning.
CoRR
Till Speicher, Vedant Nanda, Krishna P. Gummadi
2024 J jnl
Understanding the Role of Invariance in Transfer Learning.
Trans. Mach. Learn. Res.
Till Speicher, Vedant Nanda, Krishna P. Gummadi
2023 A* conf
Diffused Redundancy in Pre-trained Representations.
NeurIPS
Vedant Nanda, Till Speicher, John P. Dickerson, Krishna P. Gummadi, Soheil Feizi, Adrian Weller
2023 J jnl
Diffused Redundancy in Pre-trained Representations.
CoRR
Vedant Nanda, Till Speicher, John P. Dickerson, Soheil Feizi, Krishna P. Gummadi, Adrian Weller
2023 A* conf
Do Invariances in Deep Neural Networks Align with Human Perception?
AAAI
Vedant Nanda, Ayan Majumdar, Camila Kolling, John P. Dickerson, Krishna P. Gummadi, Bradley C. Love, Adrian Weller
2023 J jnl
Pointwise Representational Similarity.
CoRR
Camila Kolling, Till Speicher, Vedant Nanda, Mariya Toneva, Krishna P. Gummadi
2023 A* conf
Rawlsian Fairness in Online Bipartite Matching: Two-Sided, Group, and Individual.
AAAI
Seyed A. Esmaeili, Sharmila Duppala, Davidson Cheng, Vedant Nanda, Aravind Srinivasan, John P. Dickerson
2023 — conf
What Happens During Finetuning of Vision Transformers: An Invariance Based Investigation.
CoLLAs
Gabriele Merlin, Vedant Nanda, Ruchit Rawal, Mariya Toneva
2023 J jnl
What Happens During Finetuning of Vision Transformers: An Invariance Based Investigation.
CoRR
Gabriele Merlin, Vedant Nanda, Ruchit Rawal, Mariya Toneva
2022 A* conf
Measuring Representational Robustness of Neural Networks Through Shared Invariances.
ICML
Vedant Nanda, Till Speicher, Camila Kolling, John P. Dickerson, Krishna P. Gummadi, Adrian Weller
2022 J jnl
Measuring Representational Robustness of Neural Networks Through Shared Invariances.
CoRR
Vedant Nanda, Till Speicher, Camila Kolling, John P. Dickerson, Krishna P. Gummadi, Adrian Weller
2022 A conf
Rawlsian Fairness in Online Bipartite Matching: Two-sided, Group, and Individual.
AAMAS
Seyed A. Esmaeili, Sharmila Duppala, Vedant Nanda, Aravind Srinivasan, John P. Dickerson
2022 J jnl
Rawlsian Fairness in Online Bipartite Matching: Two-sided, Group, and Individual.
CoRR
Seyed A. Esmaeili, Sharmila Duppala, Vedant Nanda, Aravind Srinivasan, John P. Dickerson
2021 J jnl
Exploring Alignment of Representations with Human Perception.
CoRR
Vedant Nanda, Ayan Majumdar, Camila Kolling, John P. Dickerson, Krishna P. Gummadi, Bradley C. Love, Adrian Weller
2021 — conf
Fairness Through Robustness: Investigating Robustness Disparity in Deep Learning.
FAccT
Vedant Nanda, Samuel Dooley, Sahil Singla, Soheil Feizi, John P. Dickerson
2021 J jnl
Technical Challenges for Training Fair Neural Networks.
CoRR
Valeriia Cherepanova, Vedant Nanda, Micah Goldblum, John P. Dickerson, Tom Goldstein
2020 A* conf
Balancing the Tradeoff between Profit and Fairness in Rideshare Platforms during High-Demand Hours.
AAAI
Vedant Nanda, Pan Xu, Karthik Abinav Sankararaman, John P. Dickerson, Aravind Srinivasan
2020 C conf
Balancing the Tradeoff between Profit and Fairness in Rideshare Platforms during High-Demand Hours.
AIES
Vedant Nanda, Pan Xu, Karthik Abinav Sankararaman, John P. Dickerson, Aravind Srinivasan
2020 J jnl
Fairness Through Robustness: Investigating Robustness Disparity in Deep Learning.
CoRR
Vedant Nanda, Samuel Dooley, Sahil Singla, Soheil Feizi, John P. Dickerson
2020 J jnl
Unifying Model Explainability and Robustness via Machine-Checkable Concepts.
CoRR
Vedant Nanda, Till Speicher, John P. Dickerson, Krishna P. Gummadi, Muhammad Bilal Zafar
2019 J jnl
Balancing the Tradeoff between Profit and Fairness in Rideshare Platforms During High-Demand Hours.
CoRR
Vedant Nanda, Pan Xu, Karthik Abinav Sankararaman, John P. Dickerson, Aravind Srinivasan
2019 A* conf
On the Long-term Impact of Algorithmic Decision Policies: Effort Unfairness and Feature Segregation through Social Learning.
ICML
Hoda Heidari, Vedant Nanda, Krishna P. Gummadi
2019 J jnl
On the Long-term Impact of Algorithmic Decision Policies: Effort Unfairness and Feature Segregation through Social Learning.
CoRR
Hoda Heidari, Vedant Nanda, Krishna P. Gummadi
2018 — conf
Stop the KillFies! Using Deep Learning Models to Identify Dangerous Selfies.
WWW (Companion Volume)
Vedant Nanda, Hemank Lamba, Divyansh Agarwal, Megha Arora, Niharika Sachdeva, Ponnurangam Kumaraguru
2017 — conf
An Empirical Analysis of Facebook's Free Basics.
SIGMETRICS (Abstracts)
Siddharth Singh, Vedant Nanda, Rijurekha Sen, Sohaib Ahmad, Satadal Sengupta, Amreesh Phokeer, Zaid Ahmed Farooq, Taslim Arefin Khan, Ponnurangam Kumaraguru, Ihsan Ayyub Qazi, David R. Choffnes, Krishna P. Gummadi
2017 C conf
Leveraging Facebook's Free Basics Engine for Web Service Deployment in Developing Regions.
ICTD
Siddharth Singh, Vedant Nanda, Rijurekha Sen, Satadal Sengupta, Ponnurangam Kumaraguru, Krishna P. Gummadi