Inkit Padhi

Publications

• Final-Model-Only Data Attribution with a Unifying View of Gradient-Based Methods

  • • Dennis Wei
    • Inkit Padhi
    • et al.
  • 2024
  • NeurIPS 2024

• Value Alignment from Unstructured Text

  • • Inkit Padhi
    • Karthikeyan Natesan Ramamurthy
    • et al.
  • 2024
  • NeurIPS 2024

• Split, Unlearn, Merge: Leveraging Data Attributes for More Effective Unlearning in LLMs

  • • Swanand Ravindra Kadhe
    • Farhan Ahmed
    • et al.
  • 2024
  • ICML 2024

• The Impact of Positional Encoding on Length Generalization in Transformers

  • • Amirhossein Kazemnejad
    • Inkit Padhi
    • et al.
  • 2023
  • NeurIPS 2023

• Influence Based Approaches to Algorithmic Fairness: A Closer Look

  • • Soumya Ghosh
    • Prasanna Sattigeri
    • et al.
  • 2023
  • NeurIPS 2023

• Reprogramming Pretrained Language Models for Antibody Sequence Infilling

  • • Igor Melnyk
    • Vijil Chenthamarakshan
    • et al.
  • 2023
  • ICML 2023

• Accelerating material design with the generative toolkit for scientific discovery

  • • Matteo Manica
    • Jannis Born
    • et al.
  • 2023
  • npj Computational Materials

• Explainable Cross-Topic Stance Detection for Search Results

  • • Tim Draws
    • Karthikeyan Natesan Ramamurthy
    • et al.
  • 2023
  • CHIIR 2023

• Large-scale chemical language representations capture molecular structure and properties

  • • Jerret Ross
    • Brian Belgodere
    • et al.
  • 2022
  • Nature Machine Intelligence

• Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting

  • • Prasanna Sattigeri
    • Soumya Ghosh
    • et al.
  • 2022
  • NeurIPS 2022