Charles Jin

Orcid: 0000-0001-6871-5764

According to our database1, Charles Jin authored at least 15 papers between 2018 and 2024.

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Bibliography

2024
Latent Causal Probing: A Formal Perspective on Probing with Causal Models of Data.
CoRR, 2024

Emergent Representations of Program Semantics in Language Models Trained on Programs.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Evidence of Meaning in Language Models Trained on Programs.
CoRR, 2023

Decentralized Inference via Capability Type Structures in Cooperative Multi-Agent Systems.
CoRR, 2023

Incompatibility Clustering as a Defense Against Backdoor Poisoning Attacks.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Neural architecture search using property guided synthesis.
Proc. ACM Program. Lang., 2022

αNAS: Neural Architecture Search using Property Guided Synthesis.
CoRR, 2022

2021
Provable Guarantees against Data Poisoning Using Self-Expansion and Compatibility.
CoRR, 2021

Towards Context-Agnostic Learning Using Synthetic Data.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Learning From Context-Agnostic Synthetic Data.
CoRR, 2020

Manifold Regularization for Adversarial Robustness.
CoRR, 2020

Automatic Mapping and Optimization to Kokkos with Polyhedral Compilation.
Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020

2019
Automatic Parallelization to Asynchronous Task-Based Runtimes Through a Generic Runtime Layer.
Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019

POSTER: Automatic Parallelization Targeting Asynchronous Task-Based Runtimes.
Proceedings of the 28th International Conference on Parallel Architectures and Compilation Techniques, 2019

2018
Analysis of Explicit vs. Implicit Tasking in OpenMP Using Kripke.
Proceedings of the 4th International Workshop on Extreme Scale Programming Models and Middleware, 2018


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