Martin C. Rinard

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with coauthor community group 2

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Publications

2024
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Charles Jin, Martin C. Rinard:
Emergent Representations of Program Semantics in Language Models Trained on Programs. ICML 2024
[c185]
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  - conf/sagt/ArthaudOR24
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Farid Arthaud, Edan Orzech, Martin C. Rinard:
Edge-Dominance Games on Graphs. SAGT 2024: 240-257
[i56]
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  - journals/corr/abs-2407-07785
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Farid Arthaud, Edan Orzech, Martin C. Rinard:
Edge-dominance games on graphs. CoRR abs/2407.07785 (2024)
[i55]
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  - journals/corr/abs-2407-13765
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Charles Jin, Martin C. Rinard:
Latent Causal Probing: A Formal Perspective on Probing with Causal Models of Data. CoRR abs/2407.13765 (2024)
2023
[c184]
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  - conf/iclr/JinSR23
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Charles Jin, Melinda Sun, Martin C. Rinard:
Incompatibility Clustering as a Defense Against Backdoor Poisoning Attacks. ICLR 2023
[c183]
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  - journals/corr/abs-2307-07448
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Farid Arthaud, Martin C. Rinard:
Depth-bounded Epistemic Logic. TARK 2023: 46-65
[i52]
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  - journals/corr/abs-2304-13957
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Charles Jin, Zhang-Wei Hong, Farid Arthaud, Idan Orzech, Martin C. Rinard:
Decentralized Inference via Capability Type Structures in Cooperative Multi-Agent Systems. CoRR abs/2304.13957 (2023)
[i51]
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  - journals/corr/abs-2305-08607
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Farid Arthaud, Martin C. Rinard:
Depth-bounded epistemic logic. CoRR abs/2305.08607 (2023)
[i50]
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  - journals/corr/abs-2305-11169
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Charles Jin, Martin C. Rinard:
Evidence of Meaning in Language Models Trained on Programs. CoRR abs/2305.11169 (2023)
[i48]
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  - journals/corr/abs-2308-08047
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Idan Orzech, Martin C. Rinard:
Correlated vs. Uncorrelated Randomness in Adversarial Congestion Team Games. CoRR abs/2308.08047 (2023)
[i46]
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  - journals/corr/abs-2312-17364
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Edan Orzech, Martin C. Rinard:
Randomness Requirements and Asymmetries in Nash Equilibria. CoRR abs/2312.17364 (2023)
2021
[c179]
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  - conf/nips/JinR21
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Charles Jin, Martin C. Rinard:
Towards Context-Agnostic Learning Using Synthetic Data. NeurIPS 2021: 26223-26236
[i38]
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  - journals/corr/abs-2105-03692
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Charles Jin, Melinda Sun, Martin C. Rinard:
Provable Guarantees against Data Poisoning Using Self-Expansion and Compatibility. CoRR abs/2105.03692 (2021)
2020
[i32]
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  - journals/corr/abs-2003-04286
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Charles Jin, Martin C. Rinard:
Manifold Regularization for Adversarial Robustness. CoRR abs/2003.04286 (2020)
[i30]
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  - journals/corr/abs-2005-14707
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Charles Jin, Martin C. Rinard:
Learning From Context-Agnostic Synthetic Data. CoRR abs/2005.14707 (2020)

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