Julia Kempe

New York University — United States

Computer Science · Physical Sciences

36h-index8.3kcitations129works0.82yr avg
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Research Topics

Quantum Computing Algorithms and Architecture(72), Quantum Information and Cryptography(47), Complexity and Algorithms in Graphs(27), Computability, Logic, AI Algorithms(19), Quantum Mechanics and Applications(16)

Publications129 total

MATRIX-MFO Tandem Workshop: Machine Learning and AI for Mathematics
Oberwolfach Reports·2026Open Access
Likelihood-Based Reward Designs for General LLM Reasoning
arXiv (Cornell University)·2026Open Access
Likelihood-Based Reward Designs for General LLM Reasoning
ArXiv.org·2026Open Access
OpenApps: Simulating Environment Variations to Measure UI-Agent Reliability
arXiv (Cornell University)·2025Open Access
Don't Waste Mistakes: Leveraging Negative RL-Groups via Confidence Reweighting
arXiv (Cornell University)·2025Open Access
What Characterizes Effective Reasoning? Revisiting Length, Review, and Structure of CoT
arXiv (Cornell University)·2025Open Access
Outcome-based Exploration for LLM Reasoning
arXiv (Cornell University)·2025Open Access
Tuning without Peeking: Provable Generalization Bounds and Robust LLM Post-Training
arXiv (Cornell University)·2025Open Access
Asymmetric REINFORCE for off-Policy Reinforcement Learning: Balancing positive and negative rewards
arXiv (Cornell University)·2025Open Access
PILAF: Optimal Human Preference Sampling for Reward Modeling
arXiv (Cornell University)·2025Open Access
Kernels, data & physics
Journal of Statistical Mechanics Theory and Experiment·2024Open Access
Flavors of Margin: Implicit Bias of Steepest Descent in Homogeneous Neural Networks
arXiv (Cornell University)·2024Open Access
On the Geometry of Regularization in Adversarial Training: High-Dimensional Asymptotics and Generalization Bounds
arXiv (Cornell University)·2024Open Access
Emergent properties with repeated examples
arXiv (Cornell University)·2024· 1 citedOpen Access
Strong Model Collapse
arXiv (Cornell University)·2024· 3 citedOpen Access
Beyond Model Collapse: Scaling Up with Synthesized Data Requires Verification
arXiv (Cornell University)·2024· 6 citedOpen Access
The Price of Implicit Bias in Adversarially Robust Generalization
arXiv (Cornell University)·2024Open Access
Attacking Bayes: On the Adversarial Robustness of Bayesian Neural Networks
arXiv (Cornell University)·2024Open Access
DRoP: Distributionally Robust Data Pruning
arXiv (Cornell University)·2024Open Access
Mind the GAP: Improving Robustness to Subpopulation Shifts with Group-Aware Priors
arXiv (Cornell University)·2024· 1 citedOpen Access
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Frequent Co-authors

K. Birgitta Whaley(13), Dave Bacon(9), Oded Regev(7), Daniel A. Lidar(6), Dorit Aharonov(5), Ronald de Wolf(5), Thomas Vidick(5), David P. DiVincenzo(4), Dmitry Gavinsky(4), Oded Regev(4), Ben Toner(4), Hirotada Kobayashi(4), Keiji Matsumoto(4), Andris Ambainis(3), Wim van Dam(3), Zeph Landau(3), Seth Lloyd(3), Michael A. Nielsen(2), Christoph Simon(2), Neil Shenvi(1)