A polynomial-time approximation algorithm for the number of k-matchings in bipartite graphs - Shmuel Friedland; Daniel Levy (CoRR, 2006)

Dr. Horrible's fork bomb: a lab for introducing security issues in CS2. - Elizabeth Ann Patitsas; Daniel Levy (ITiCSE, 2013)

Quantifying Nearness in Visual Spaces. - Christopher J. Henry; Sheela Ramanna; Daniel Levy (Cybern. Syst., 2013)

Fast Amortized Inference and Learning in Log-linear Models with Randomly Perturbed Nearest Neighbor Search. - Stephen Mussmann; Daniel Levy; Stefano Ermon (UAI, 2017)

Deterministic Policy Optimization by Combining Pathwise and Score Function Estimators for Discrete Action Spaces. - Daniel Levy; Stefano Ermon (AAAI, 2018)

Generalizing Hamiltonian Monte Carlo with Neural Networks. - Daniel Levy; Matthew D. Hoffman; Jascha Sohl-Dickstein (ICLR (Poster), 2018)

Bayesian optimization and attribute adjustment. - Stephan Eismann; Daniel Levy; Rui Shu; Stefan Bartzsch; Stefano Ermon (UAI, 2018)

Faster CryptoNets: Leveraging Sparsity for Real-World Encrypted Inference. - Edward Chou; Josh Beal; Daniel Levy; Serena Yeung; Albert Haque; Li Fei-Fei 001 (CoRR, 2018)

Necessary and Sufficient Geometries for Gradient Methods. - Daniel Levy; John C. Duchi (NeurIPS, 2019)

Necessary and Sufficient Conditions for Adaptive, Mirror, and Standard Gradient Methods. - Daniel Levy; John C. Duchi (CoRR, 2019)

Large-Scale Methods for Distributionally Robust Optimization. - Daniel Levy; Yair Carmon; John C. Duchi; Aaron Sidford (NeurIPS, 2020)

Distributionally Robust Multilingual Machine Translation. - Chunting Zhou; Daniel Levy; Xian Li 003; Marjan Ghazvininejad; Graham Neubig (EMNLP (1), 2021)

Adapting to function difficulty and growth conditions in private optimization. - Hilal Asi; Daniel Levy; John C. Duchi (NeurIPS, 2021)

Learning with User-Level Privacy. - Daniel Levy; Ziteng Sun; Kareem Amin 002; Satyen Kale; Alex Kulesza; Mehryar Mohri; Ananda Theertha Suresh (NeurIPS, 2021)

Advancing optimization for modern machine learning. - Daniel Levy (2021)

Distributed Swarm Navigation with Factored Filters. - Samuel A. Shapero; Daniel Levy (FUSION, 2023)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. - Aarohi Srivastava; Abhinav Rastogi; Abhishek Rao; Abu Awal Md Shoeb; Abubakar Abid; Adam Fisch; Adam R. Brown; Adam Santoro; Aditya Gupta; Adrià Garriga-Alonso; Agnieszka Kluska; Aitor Lewkowycz; et al. (Trans. Mach. Learn. Res., 2023)

OpenAI o1 System Card. - Aaron Jaech; Adam Kalai; Adam Lerer; Adam Richardson; Ahmed El-Kishky; Aiden Low; Alec Helyar; Aleksander Madry; Alex Beutel; Alex Carney; Alex Iftimie; Alex Karpenko; et al. (CoRR, 2024)

Artificial intelligence applied to coronary artery calcium scans (AI-CAC) significantly improves cardiovascular events prediction. - Morteza Naghavi; Anthony P. Reeves; Kyle Atlas; Chenyu Zhang; Thomas Atlas; Claudia I. Henschke; David F. Yankelevitz; Matthew J. Budoff; Dong Li; Sion K. Roy; Khurram Nasir; Sabee Molloi; et al. (npj Digit. Medicine, 2024)

Estimation of inbreeding and kinship coefficients via latent identity-by-descent states. - Yongtao Guan; Daniel Levy (Bioinform., 2024)

SymmCD: Symmetry-Preserving Crystal Generation with Diffusion Models. - Daniel Levy; Siba Smarak Panigrahi; Sékou-Oumar Kaba; Qiang Zhu; Kin Long Kelvin Lee; Mikhail Galkin 001; Santiago Miret; Siamak Ravanbakhsh (ICLR, 2025)

Symmetry-Aware Generative Modeling through Learned Canonicalization. - Kusha Sareen; Daniel Levy; Arnab Kumar Mondal; Sékou-Oumar Kaba; Tara Akhound-Sadegh; Siamak Ravanbakhsh (CoRR, 2025)

A statistical framework for multi-trait rare variant analysis in large-scale whole-genome sequencing studies. - Xihao Li; Han Chen; Margaret Sunitha Selvaraj; Eric Van Buren; Hufeng Zhou; Yuxuan Wang 008; Ryan Sun; Zachary R. McCaw; Zhi Yu; Min-Zhi Jiang; Daniel DiCorpo; Sheila M. Gaynor; et al. (Nat. Comput. Sci., 2025)

Self-conversation with a sporting celebrity enhances later physical exercise: an exploratory study. - Daniel Levy; Doron Friedman; Elena Álvarez de la Campa Crespo; Bernhard Spanlang; Mel Slater (Virtual Real., 2025)