Panigrahy, Rina

15 publications

NeurIPS 2025 A Implies B: Circuit Analysis in LLMs for Propositional Logical Reasoning Guan Zhe Hong, Nishanth Dikkala, Enming Luo, Cyrus Rashtchian, Xin Wang, Rina Panigrahy

ICLRW 2025 Universal LLM Routing with Correctness-Based Representation Wittawat Jitkrittum, Harikrishna Narasimhan, Ankit Singh Rawat, Jeevesh Juneja, Zifeng Wang, Chen-Yu Lee, Pradeep Shenoy, Rina Panigrahy, Aditya Krishna Menon, Sanjiv Kumar

NeurIPS 2024 Causal Language Modeling Can Elicit Search and Reasoning Capabilities on Logic Puzzles Kulin Shah, Nishanth Dikkala, Xin Wang, Rina Panigrahy

NeurIPSW 2024 How Transformers Reason: A Case Study on a Synthetic Propositional Logic Problem Guan Zhe Hong, Nishanth Dikkala, Enming Luo, Cyrus Rashtchian, Xin Wang, Rina Panigrahy

NeurIPS 2023 Alternating Updates for Efficient Transformers Cenk Baykal, Dylan Cutler, Nishanth Dikkala, Nikhil Ghosh, Rina Panigrahy, Xin Wang

NeurIPS 2022 A Theoretical View on Sparsely Activated Networks Cenk Baykal, Nishanth Dikkala, Rina Panigrahy, Cyrus Rashtchian, Xin Wang

NeurIPS 2022 Sketching Based Representations for Robust Image Classification with Provable Guarantees Nishanth Dikkala, Sankeerth Rao Karingula, Raghu Meka, Jelani Nelson, Rina Panigrahy, Xin Wang

AISTATS 2021 Sketch Based Memory for Neural Networks Rina Panigrahy, Xin Wang, Manzil Zaheer

ICLR 2021 One Network Fits All? Modular Versus Monolithic Task Formulations in Neural Networks Atish Agarwala, Abhimanyu Das, Brendan Juba, Rina Panigrahy, Vatsal Sharan, Xin Wang, Qiuyi Zhang

ICML 2019 Faster Algorithms for Binary Matrix Factorization Ravi Kumar, Rina Panigrahy, Ali Rahimi, David Woodruff

ICML 2019 Recursive Sketches for Modular Deep Learning Badih Ghazi, Rina Panigrahy, Joshua Wang

ICML 2017 Algorithms for $\ell_p$ Low-Rank Approximation Flavio Chierichetti, Sreenivas Gollapudi, Ravi Kumar, Silvio Lattanzi, Rina Panigrahy, David P. Woodruff

ICML 2014 Learning Polynomials with Neural Networks Alexandr Andoni, Rina Panigrahy, Gregory Valiant, Li Zhang

UAI 2014 Optimal Amortized Regret in Every Interval Rina Panigrahy, Preyas Popat

NeurIPS 2011 Prediction Strategies Without Loss Michael Kapralov, Rina Panigrahy