Dikkala, Nishanth

17 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

ICLR 2025 Reasoning with Latent Thoughts: On the Power of Looped Transformers Nikunj Saunshi, Nishanth Dikkala, Zhiyuan Li, Sanjiv Kumar, Sashank J. Reddi

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

COLT 2024 Learning Neural Networks with Sparse Activations Pranjal Awasthi, Nishanth Dikkala, Pritish Kamath, Raghu Meka

NeurIPS 2024 ReMI: A Dataset for Reasoning with Multiple Images Mehran Kazemi, Nishanth Dikkala, Ankit Anand, Petar Devic, Ishita Dasgupta, Fangyu Liu, Bahare Fatemi, Pranjal Awasthi, Dee Guo, Sreenivas Gollapudi, Ahmed Qureshi

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

ICML 2022 Do More Negative Samples Necessarily Hurt in Contrastive Learning? Pranjal Awasthi, Nishanth Dikkala, Pritish Kamath

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

ICML 2021 Statistical Estimation from Dependent Data Vardis Kandiros, Yuval Dagan, Nishanth Dikkala, Surbhi Goel, Constantinos Daskalakis

AISTATS 2020 Logistic Regression with Peer-Group Effects via Inference in Higher-Order Ising Models Constantinos Daskalakis, Nishanth Dikkala, Ioannis Panageas

NeurIPS 2020 Minimax Estimation of Conditional Moment Models Nishanth Dikkala, Greg Lewis, Lester W. Mackey, Vasilis Syrgkanis

COLT 2019 Learning from Weakly Dependent Data Under Dobrushin’s Condition Yuval Dagan, Constantinos Daskalakis, Nishanth Dikkala, Siddhartha Jayanti

NeurIPS 2018 HOGWILD!-Gibbs Can Be PanAccurate Constantinos Daskalakis, Nishanth Dikkala, Siddhartha Jayanti

COLT 2018 Testing Symmetric Markov Chains from a Single Trajectory Constantinos Daskalakis, Nishanth Dikkala, Nick Gravin

NeurIPS 2017 Concentration of Multilinear Functions of the Ising Model with Applications to Network Data Constantinos Daskalakis, Nishanth Dikkala, Gautam Kamath