Hikaru Shindo

Orcid: 0000-0001-7129-6118

According to our database1, Hikaru Shindo authored at least 29 papers between 2018 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Kintsugi: Learning Policies by Repairing Executable Knowledge Bases.
CoRR, May, 2026

GRAIL: Autonomous Concept Grounding for Neuro-Symbolic Reinforcement Learning.
CoRR, April, 2026

SocialGrid: A Benchmark for Planning and Social Reasoning in Embodied Multi-Agent Systems.
CoRR, April, 2026

LLMs Gaming Verifiers: RLVR can Lead to Reward Hacking.
CoRR, April, 2026

SLR: Automated Synthesis for Scalable Logical Reasoning.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025
Synthesizing Visual Concepts as Vision-Language Programs.
CoRR, November, 2025

STORM: Segment, Track, and Object Re-Localization from a Single Image.
CoRR, November, 2025

ActivationReasoning: Logical Reasoning in Latent Activation Spaces.
CoRR, October, 2025

Human-Allied Relational Reinforcement Learning.
CoRR, October, 2025

NeST: The neuro-symbolic transpiler.
Int. J. Approx. Reason., 2025

V-LoL: A Diagnostic Dataset for Visual Logical Learning.
J. Data-centric Mach. Learn. Res., 2025

Gestalt Vision: A Dataset for Evaluating Gestalt Principles in Visual Perception.
Proceedings of The 19th International Conference on Neurosymbolic Learning and Reasoning (NeSy 2025), 2025

BlendRL: A Framework for Merging Symbolic and Neural Policy Learning.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

ART: Adaptive Relation Tuning for Generalized Relation Prediction.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024
Learning differentiable logic programs for abstract visual reasoning.
Mach. Learn., December, 2024

Learning by Self-Explaining.
Trans. Mach. Learn. Res., 2024

EXPIL: Explanatory Predicate Invention for Learning in Games.
CoRR, 2024

DeiSAM: Segment Anything with Deictic Prompting.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023
αILP: thinking visual scenes as differentiable logic programs.
Mach. Learn., May, 2023

Learning by Self-Explaining.
CoRR, 2023

Interpretable and Explainable Logical Policies via Neurally Guided Symbolic Abstraction.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Neural-Symbolic Predicate Invention: Learning Relational Concepts from Visual Scenes.
Proceedings of the 17th International Workshop on Neural-Symbolic Learning and Reasoning, 2023

2022
Differentiable Meta logical Programming.
CoRR, 2022

LogicRank: Logic Induced Reranking for Generative Text-to-Image Systems.
CoRR, 2022

Sum-Product Loop Programming: From Probabilistic Circuits to Loop Programming.
Proceedings of the 19th International Conference on Principles of Knowledge Representation and Reasoning, 2022

2021
Neuro-Symbolic Forward Reasoning.
CoRR, 2021

Differentiable Inductive Logic Programming for Structured Examples.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Metric Learning for Ordered Labeled Trees with pq-grams.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2018
Using Binary Decision Diagrams to Enumerate Inductive Logic Programming Solutions.
Proceedings of the Up-and-Coming and Short Papers of the 28th International Conference on Inductive Logic Programming (ILP 2018), 2018


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