Viswanath, Pramod

26 publications

NeurIPS 2025 LiveCodeBench Pro: How Do Olympiad Medalists Judge LLMs in Competitive Programming? Zihan Zheng, Zerui Cheng, Zeyu Shen, Shang Zhou, Kaiyuan Liu, Hansen He, Dongruixuan Li, Stanley Wei, Hangyi Hao, Jianzhu Yao, Peiyao Sheng, Zixuan Wang, Wenhao Chai, Aleksandra Korolova, Peter Henderson, Sanjeev Arora, Pramod Viswanath, Jingbo Shang, Saining Xie

NeurIPS 2025 Scalable Fingerprinting of Large Language Models Anshul Nasery, Jonathan Hayase, Creston Brooks, Peiyao Sheng, Himanshu Tyagi, Pramod Viswanath, Sewoong Oh

ICLRW 2025 Scalable Fingerprinting of Large Language Models Anshul Nasery, Jonathan Hayase, Creston Brooks, Peiyao Sheng, Himanshu Tyagi, Pramod Viswanath, Sewoong Oh

ICML 2024 DeepPolar: Inventing Nonlinear Large-Kernel Polar Codes via Deep Learning S Ashwin Hebbar, Sravan Kumar Ankireddy, Hyeji Kim, Sewoong Oh, Pramod Viswanath

ICML 2023 CRISP: Curriculum Based Sequential Neural Decoders for Polar Code Family S Ashwin Hebbar, Viraj Vivek Nadkarni, Ashok Vardhan Makkuva, Suma Bhat, Sewoong Oh, Pramod Viswanath

ICML 2021 KO Codes: Inventing Nonlinear Encoding and Decoding for Reliable Wireless Communication via Deep-Learning Ashok V Makkuva, Xiyang Liu, Mohammad Vahid Jamali, Hessam Mahdavifar, Sewoong Oh, Pramod Viswanath

AISTATS 2020 Learning in Gated Neural Networks Ashok Makkuva, Sewoong Oh, Sreeram Kannan, Pramod Viswanath

ICML 2019 Breaking the Gridlock in Mixture-of-Experts: Consistent and Efficient Algorithms Ashok Makkuva, Pramod Viswanath, Sreeram Kannan, Sewoong Oh

AISTATS 2019 Learning One-Hidden-Layer Neural Networks Under General Input Distributions Weihao Gao, Ashok V. Makkuva, Sewoong Oh, Pramod Viswanath

NeurIPS 2019 Turbo Autoencoder: Deep Learning Based Channel Codes for Point-to-Point Communication Channels Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sreeram Kannan, Sewoong Oh, Pramod Viswanath

ICLR 2018 All-but-the-Top: Simple and Effective Postprocessing for Word Representations Jiaqi Mu, Pramod Viswanath

ICLR 2018 Communication Algorithms via Deep Learning Hyeji Kim, Yihan Jiang, Ranvir B. Rana, Sreeram Kannan, Sewoong Oh, Pramod Viswanath

NeurIPS 2018 Deepcode: Feedback Codes via Deep Learning Hyeji Kim, Yihan Jiang, Sreeram Kannan, Sewoong Oh, Pramod Viswanath

NeurIPS 2018 Estimators for Multivariate Information Measures in General Probability Spaces Arman Rahimzamani, Himanshu Asnani, Pramod Viswanath, Sreeram Kannan

NeurIPS 2017 Deanonymization in the Bitcoin P2P Network Giulia Fanti, Pramod Viswanath

NeurIPS 2017 Discovering Potential Correlations via Hypercontractivity Hyeji Kim, Weihao Gao, Sreeram Kannan, Sewoong Oh, Pramod Viswanath

NeurIPS 2017 Estimating Mutual Information for Discrete-Continuous Mixtures Weihao Gao, Sreeram Kannan, Sewoong Oh, Pramod Viswanath

AAAI 2017 Geometry of Compositionality Hongyu Gong, Suma Bhat, Pramod Viswanath

ICLR 2017 Geometry of Polysemy Jiaqi Mu, Suma Bhat, Pramod Viswanath

NeurIPS 2016 Breaking the Bandwidth Barrier: Geometrical Adaptive Entropy Estimation Weihao Gao, Sewoong Oh, Pramod Viswanath

ICML 2016 Conditional Dependence via Shannon Capacity: Axioms, Estimators and Applications Weihao Gao, Sreeram Kannan, Sewoong Oh, Pramod Viswanath

JMLR 2016 Extremal Mechanisms for Local Differential Privacy Peter Kairouz, Sewoong Oh, Pramod Viswanath

ICML 2016 Metadata-Conscious Anonymous Messaging Giulia Fanti, Peter Kairouz, Sewoong Oh, Kannan Ramchandran, Pramod Viswanath

NeurIPS 2015 Secure Multi-Party Differential Privacy Peter Kairouz, Sewoong Oh, Pramod Viswanath

ICML 2015 The Composition Theorem for Differential Privacy Peter Kairouz, Sewoong Oh, Pramod Viswanath

NeurIPS 2014 Extremal Mechanisms for Local Differential Privacy Peter Kairouz, Sewoong Oh, Pramod Viswanath