Research
A paper is listed when one of its authors is affiliated with the lab. Data: OpenAlex.
Behavioral Regression Testing for Continuously Updated Machine Learning ModelsAlphabet · IEEE International Conference on Artificial Intelligence Testing (AITest)Jul 1Physically Aware Weighted Fault Model: a New Paradigm in TestingAlphabet · IEEE International Test Conference India (ITC India)Jul 1Deep Learning based Automatic Modulation Classification for Wireless Communication SystemsAlphabet · International Conference on Intelligent and Sustainable AI Systems (ICOSAAS)Jul 1An Adaptive AI-Driven Sugeno Fuzzy Inference Framework for Dynamic Task Scheduling and Resource Allocation in Video Conferencing SystemsAlphabet, Microsoft · International Conference on Intelligent and Sustainable AI Systems (ICOSAAS)Jul 1Investigating Developers’ Usage and Perception of Trusted Execution Environment Features in AndroidAlphabet · IEEE European Symposium on Security and PrivacyJul 1The Clone Strikes Back: Efficient Vulnerable Code Detection in Custom Android-based SystemsAlphabet · IEEE European Symposium on Security and PrivacyJul 1Personalizing Agent Privacy Decisions via Logical EntailmentAlphabet · Proceedings on Privacy Enhancing TechnologiesJul 1Bi-NAS: Towards Effective and Personalized Explanation for Recommender Systems via Bi-Level Neural Architecture SearchAlphabet · arXiv (Cornell University)Jul 1Bi-NAS: Towards Effective and Personalized Explanation for Recommender Systems via Bi-Level Neural Architecture SearchAlphabet · arXiv (Cornell University)Jul 1Generative Modeling of Quantum Distribution with Functional Flow MatchingAlphabet · arXiv (Cornell University)Jul 1FaceIt: Real‐Time On‐Device Identity‐Preserving Portrait AnimationAlphabet · Computer Graphics ForumJul 1Multi-Objective Agentic Rewrites for Unstructured Data ProcessingAlphabet · Proceedings of the VLDB EndowmentJul 1Adaptive Perturbation Selection for Contrastive Audio DecodingAlphabet · arXiv (Cornell University)Jun 30Introduction to Stochastic Differential Equations for Generative Machine Learning: A Variational PerspectiveGoogle DeepMind · arXiv (Cornell University)Jun 30Reinforcement Learning with Metacognitive Feedback Elicits Faithful Uncertainty Expression in LLMsAlphabet · arXiv (Cornell University)Jun 30Indi-RomCoM: Code-Mixed Benchmark for Evaluating LLMs on Romanized Indic-English InstructionsAlphabet · arXiv (Cornell University)Jun 29Understanding and Evaluating Claw-like Agent Security Through a Computer-Systems LensAlphabet · arXiv (Cornell University)Jun 29Quasiparticle-induced decoherence of a driven superconducting qubitAlphabet · Physical Review AppliedJun 29Note on Finite-Automata Bernoulli Factories for Rational FunctionsAlphabet · arXiv (Cornell University)Jun 28OpenMHC: Accelerating the Science of Wearable Foundation ModelsAlphabet · arXiv (Cornell University)Jun 25Bridging the Scale Gap: Augmenting Human Red-Teaming to Uncover Latent Risks in T2I ModelsAlphabet · ACM Conference on Fairness, Accountability, and Transparency (FAccT)Jun 25DNSMOS-C: Improving End-to-end Speech Quality Models via Contrastive LearningAlphabet · arXiv (Cornell University)Jun 25Learning Anonymous Pricing for Online Resource AllocationAlphabet · arXiv (Cornell University)Jun 25LMs as Task-Specific Knowledge Bases: An Interpretability AnalysisAlphabet · arXiv (Cornell University)Jun 25Verifying Intent and Harm: A Unified Defense Against LLM-Generated ThreatsAlphabet · arXiv (Cornell University)Jun 24