PPaperPicks

Parikshit Ram

11 papers at tracked venues · 8 at CORE A* · active 2024–2026

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Venues

NeurIPS ×4AAAI ×2AISTATS ×1EMNLP ×1ICML ×1IJCAI ×1WWW ×1

Frequent coauthors

Nathalie Baracaldo
×4
Yi Zhou
×3
Horst Samulowitz
×3
Yihua Zhang
×3
Jinghan Jia
×3
Sijia Liu
×3
Tim Klinger
×3
Alexander G. Gray
×3
Inwon Kang
×2
Oshani Seneviratne
×2
Benjamin Hoover
×2
Dmitry Krotov
×2

Papers

  1. Language Model Representations for Efficient Few-Shot Tabular Classification
    WWW 2026 ·
    Inwon Kang
    , Parikshit Ram,
    Yi Zhou
    ,
    Horst Samulowitz
    ,
    Oshani Seneviratne
  2. Dense Associative Memory with Epanechnikov Energy
    NeurIPS 2025 ·
    Benjamin Hoover
    ,
    Zhaoyang Shi
    ,
    Krishnakumar Balasubramanian
    ,
    Dmitry Krotov
    , Parikshit Ram
  3. Invariance Makes LLM Unlearning Resilient Even to Unanticipated Downstream Fine-Tuning
    ICML 2025 ·
    Changsheng Wang
    ,
    Yihua Zhang
    ,
    Jinghan Jia
    , Parikshit Ram,
    Dennis Wei
    ,
    Yuguang Yao
    ,
    Soumyadeep Pal
    ,
    Nathalie Baracaldo
    ,
    Sijia Liu
  4. Neural Reasoning Networks: Efficient Interpretable Neural Networks with Automatic Textual Explanations
    AAAI 2025 ·
    Stephen Carrow
    ,
    Kyle Erwin
    ,
    Olga Vilenskaia
    , Parikshit Ram,
    Tim Klinger
    ,
    Naweed Khan
    ,
    Ndivhuwo Makondo
    ,
    Alexander G. Gray
  5. Reasoning Model Unlearning: Forgetting Traces, Not Just Answers, While Preserving Reasoning Skills
    EMNLP 2025 ·
    Changsheng Wang
    ,
    Chongyu Fan
    ,
    Yihua Zhang
    ,
    Jinghan Jia
    ,
    Dennis Wei
    , Parikshit Ram,
    Nathalie Baracaldo
    ,
    Sijia Liu
  6. Transformers Learn Faster with Semantic Focus
    NeurIPS 2025 · Parikshit Ram,
    Kenneth L. Clarkson
    ,
    Tim Klinger
    ,
    Shashanka Ubaru
    ,
    Alexander G. Gray
  7. Dense Associative Memory Through the Lens of Random Features
    NeurIPS 2024 ·
    Benjamin Hoover
    ,
    Duen Horng Chau
    ,
    Hendrik Strobelt
    , Parikshit Ram,
    Dmitry Krotov
  8. Effective Data Distillation for Tabular Datasets (Student Abstract)
    AAAI 2024 ·
    Inwon Kang
    , Parikshit Ram,
    Yi Zhou
    ,
    Horst Samulowitz
    ,
    Oshani Seneviratne
  9. Enhancing In-context Learning via Linear Probe Calibration
    AISTATS 2024 ·
    Momin Abbas
    ,
    Yi Zhou
    , Parikshit Ram,
    Nathalie Baracaldo
    ,
    Horst Samulowitz
    ,
    Theodoros Salonidis
    ,
    Tianyi Chen
  10. WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models
    NeurIPS 2024 ·
    Jinghan Jia
    ,
    Jiancheng Liu
    ,
    Yihua Zhang
    , Parikshit Ram,
    Nathalie Baracaldo
    ,
    Sijia Liu
  11. What Makes Models Compositional? A Theoretical View
    IJCAI 2024 · Parikshit Ram,
    Tim Klinger
    ,
    Alexander G. Gray