Book Reading Behavior on Goodreads Can Predict the Amazon Best Sellers. - Suman Kalyan Maity; Abhishek Panigrahi; Animesh Mukherjee 001 (ASONAM, 2017)

Analyzing Social Book Reading Behavior on Goodreads and how it predicts Amazon Best Sellers. - Suman Kalyan Maity; Abhishek Panigrahi; Animesh Mukherjee 001 (CoRR, 2018)

Analysis on Gradient Propagation in Batch Normalized Residual Networks. - Abhishek Panigrahi; Yueru Chen; C.-C. Jay Kuo (CoRR, 2018)

Word2Sense: Sparse Interpretable Word Embeddings. - Abhishek Panigrahi; Harsha Vardhan Simhadri; Chiranjib Bhattacharyya (ACL (1), 2019)

DeepTagRec: A Content-cum-User Based Tag Recommendation Framework for Stack Overflow. - Suman Kalyan Maity; Abhishek Panigrahi; Sayan Ghosh 002; Arundhati Banerjee; Pawan Goyal 002; Animesh Mukherjee 001 (ECIR (2), 2019)

Non-Gaussianity of Stochastic Gradient Noise. - Abhishek Panigrahi; Raghav Somani; Navin Goyal; Praneeth Netrapalli (CoRR, 2019)

Analyzing Social Book Reading Behavior on Goodreads and How It Predicts Amazon Best Sellers. - Suman Kalyan Maity; Abhishek Panigrahi; Animesh Mukherjee 001 (Influence and Behavior Analysis in Social Networks and Social Media, 2019)

Effect of Activation Functions on the Training of Overparametrized Neural Nets. - Abhishek Panigrahi; Abhishek Shetty; Navin Goyal (ICLR, 2020)

Learning and Generalization in RNNs. - Abhishek Panigrahi; Navin Goyal (NeurIPS, 2021)

Understanding Gradient Descent on the Edge of Stability in Deep Learning. - Sanjeev Arora; Zhiyuan Li 005; Abhishek Panigrahi (ICML, 2022)

On the SDEs and Scaling Rules for Adaptive Gradient Algorithms. - Sadhika Malladi; Kaifeng Lyu; Abhishek Panigrahi; Sanjeev Arora (NeurIPS, 2022)

Do Transformers Parse while Predicting the Masked Word? - Haoyu Zhao; Abhishek Panigrahi; Rong Ge 001; Sanjeev Arora (EMNLP, 2023)

Task-Specific Skill Localization in Fine-tuned Language Models. - Abhishek Panigrahi; Nikunj Saunshi; Haoyu Zhao; Sanjeev Arora (ICML, 2023)

Trainable Transformer in Transformer. - Abhishek Panigrahi; Sadhika Malladi; Mengzhou Xia; Sanjeev Arora (ICML, 2024)

Progressive distillation induces an implicit curriculum. - Abhishek Panigrahi; Bingbin Liu; Sadhika Malladi; Andrej Risteski; Surbhi Goel (ICLR, 2025)

Efficient stagewise pretraining via progressive subnetworks. - Abhishek Panigrahi; Nikunj Saunshi; Kaifeng Lyu; Sobhan Miryoosefi; Sashank J. Reddi; Satyen Kale; Sanjiv Kumar (ICLR, 2025)

Representing Rule-based Chatbots with Transformers. - Dan Friedman; Abhishek Panigrahi; Danqi Chen 001 (NAACL (Long Papers), 2025)

Generalizing from SIMPLE to HARD Visual Reasoning: Can We Mitigate Modality Imbalance in VLMs? - Simon Park 002; Abhishek Panigrahi; Yun Cheng; Dingli Yu; Anirudh Goyal; Sanjeev Arora (CoRR, 2025)

On the Power of Context-Enhanced Learning in LLMs. - Xingyu Zhu; Abhishek Panigrahi; Sanjeev Arora (CoRR, 2025)

AdaptMI: Adaptive Skill-based In-context Math Instruction for Small Language Models. - Yinghui He; Abhishek Panigrahi; Yong Lin; Sanjeev Arora (CoRR, 2025)