Vinay Kumar Sankarapu

17 papers A* 2B 1Journal 13Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
AlignTune: Modular Toolkit for Post-Training Alignment of Large Language Models.
CoRR
R. E. Zera Marveen Lyngkhoi, Chirag Chawla, Pratinav Seth, Utsav Avaiya, Soham Bhattacharjee, Mykola Khandoga, Rui Yuan, Vinay Kumar Sankarapu
2026 J jnl
Beyond KL Divergence: Policy Optimization with Flexible Bregman Divergences for LLM Reasoning.
CoRR
Rui Yuan, Mykola Khandoga, Vinay Kumar Sankarapu
2026 J jnl
Beyond Uniform Credit: Causal Credit Assignment for Policy Optimization.
CoRR
Mykola Khandoga, Rui Yuan, Vinay Kumar Sankarapu
2026 J jnl
C-ΔΘ: Circuit-Restricted Weight Arithmetic for Selective Refusal.
CoRR
Aditya Kasliwal, Pratinav Seth, Vinay Kumar Sankarapu
2026 A* conf
Exploring Fine-Tuning for Tabular Foundation Models.
WWW
Aditya Tanna, Pratinav Seth, Mohamed Bouadi, Vinay Kumar Sankarapu
2026 J jnl
Exploring Fine-Tuning for Tabular Foundation Models.
CoRR
Aditya Tanna, Pratinav Seth, Mohamed Bouadi, Vinay Kumar Sankarapu
2026 A* conf
Orion-Bix: Bi-Axial Attention for Tabular In-Context Learning.
WWW
Mohamed Bouadi, Pratinav Seth, Aditya Tanna, Vinay Kumar Sankarapu
2025 J jnl
Bridging the Gap in XAI-Why Reliable Metrics Matter for Explainability and Compliance.
CoRR
Pratinav Seth, Vinay Kumar Sankarapu
2025 B conf
DLBacktrace: Model Agnostic Explainability for any Deep Learning Model.
IJCNN
Vinay Kumar Sankarapu, Chintan Chitroda, Yashwardhan Rathore, Neeraj Kumar Singh, Pratinav Seth
2025 J jnl
Interpretability as Alignment: Making Internal Understanding a Design Principle.
CoRR
Aadit Sengupta, Pratinav Seth, Vinay Kumar Sankarapu
2025 — conf
Interpretability-Aware Pruning for Efficient Medical Image Analysis.
EMA4MICCAI
Nikita Malik, Pratinav Seth, Neeraj Kumar Singh, Chintan Chitroda, Vinay Kumar Sankarapu
2025 J jnl
Interpretability-Aware Pruning for Efficient Medical Image Analysis.
CoRR
Nikita Malik, Pratinav Seth, Neeraj Kumar Singh, Chintan Chitroda, Vinay Kumar Sankarapu
2025 J jnl
Orion-Bix: Bi-Axial Attention for Tabular In-Context Learning.
CoRR
Mohamed Bouadi, Pratinav Seth, Aditya Tanna, Vinay Kumar Sankarapu
2025 J jnl
Orion-MSP: Multi-Scale Sparse Attention for Tabular In-Context Learning.
CoRR
Mohamed Bouadi, Pratinav Seth, Aditya Tanna, Vinay Kumar Sankarapu
2025 J jnl
TabTune: A Unified Library for Inference and Fine-Tuning Tabular Foundation Models.
CoRR
Aditya Tanna, Pratinav Seth, Mohamed Bouadi, Utsav Avaiya, Vinay Kumar Sankarapu
2025 J jnl
xai_evals : A Framework for Evaluating Post-Hoc Local Explanation Methods.
CoRR
Pratinav Seth, Yashwardhan Rathore, Neeraj Kumar Singh, Chintan Chitroda, Vinay Kumar Sankarapu
2024 J jnl
DLBacktrace: A Model Agnostic Explainability for any Deep Learning Models.
CoRR
Vinay Kumar Sankarapu, Chintan Chitroda, Yashwardhan Rathore, Neeraj Kumar Singh, Pratinav Seth