Aaditya Naik

5 papers · 2021–2025 · 3 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (11) 🔥 Unstoppable · Bronze ❓ The Questioner

Venues

ICML (3) AAAI (1) ICLR (1)

Top co-authors

Mayur Naik (5) Eric Wong (3) Yinjun Wu (2) Yuepeng Wang (1) Mukund Raghothaman (1) Petros Maniatis (1) Jason Liu (1) Adam Stein (1) Saikat Dutta (1) Jonathan Mendelson (1)

Research topics

Artificial Intelligence (5) Core AI (5) Machine Learning (4) Deep Learning (2) Core Methods (2) Computer Science (1) Application Areas (1) Architectures (1) Foundations (1) Learning Paradigms (1) Learning Types · Deep Learning (1) Learning Types · Machine Learning (1) Optimization & Theory (1)

Keywords

unsupervised learning (1) representation learning (1) interpretability (1) test-time adaptation (1) program synthesis (1) probabilistic computation (1) program analysis (1) foundation model (1) concept extraction (1) evolutionary algorithm (1) evolutionary search (1) model interpretation (1) neuro-symbolic learning (1) rule extraction (1) classification task (1) inductive logic programming (1) gradient propagation (1) code representation (1) knowledge discovery (1) relational representation (1)

Papers

DOLPHIN: A Programmable Framework for Scalable Neurosymbolic Learning ICML 2025 Towards Compositionality in Concept Learning ICML 2024 Do Machine Learning Models Learn Statistical Rules Inferred from Data? ICML 2023 CodeTrek: Flexible Modeling of Code using an Extensible Relational Representation ICLR 2022 GENSYNTH: Synthesizing Datalog Programs without Language Bias AAAI 2021