Automated Discovery of Integral with Deep Learning
Fuente:
arXiv
Saved in:
| Main Author: | Yin, Xiaoxin |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Automated Scientific Discovery: From Equation Discovery to Autonomous Discovery Systems
by: Kramer, Stefan, et al.
Published: (2023)
by: Kramer, Stefan, et al.
Published: (2023)
Deep Causal Learning: Representation, Discovery and Inference
by: Deng, Zizhen, et al.
Published: (2022)
by: Deng, Zizhen, et al.
Published: (2022)
Hierarchical Meta-Reinforcement Learning via Automated Macro-Action Discovery
by: Cho, Minjae, et al.
Published: (2024)
by: Cho, Minjae, et al.
Published: (2024)
Periodic Topological Deep Learning for Polymer Design and Discovery
by: Yadav, Yasharth, et al.
Published: (2026)
by: Yadav, Yasharth, et al.
Published: (2026)
Integral Signatures of Activation Functions: A 9-Dimensional Taxonomy and Stability Theory for Deep Learning
by: Mali, Ankur, et al.
Published: (2025)
by: Mali, Ankur, et al.
Published: (2025)
Automated Attention Pattern Discovery at Scale in Large Language Models
by: Katzy, Jonathan, et al.
Published: (2026)
by: Katzy, Jonathan, et al.
Published: (2026)
FAMOSE: A ReAct Approach to Automated Feature Discovery
by: Burghardt, Keith, et al.
Published: (2026)
by: Burghardt, Keith, et al.
Published: (2026)
Automated Skill Discovery for Language Agents through Exploration and Iterative Feedback
by: Yang, Yongjin, et al.
Published: (2025)
by: Yang, Yongjin, et al.
Published: (2025)
BoxingGym: Benchmarking Progress in Automated Experimental Design and Model Discovery
by: Gandhi, Kanishk, et al.
Published: (2025)
by: Gandhi, Kanishk, et al.
Published: (2025)
Automated Kernel Discovery Towards Understanding High-dimensional Bayesian Optimization
by: Yun, Taeyoung, et al.
Published: (2026)
by: Yun, Taeyoung, et al.
Published: (2026)
Automated Discovery of Conservation Laws via Hybrid Neural ODE-Transformers
by: Doshi, Vivan
Published: (2025)
by: Doshi, Vivan
Published: (2025)
Automated Discovery of Functional Actual Causes in Complex Environments
by: Chuck, Caleb, et al.
Published: (2024)
by: Chuck, Caleb, et al.
Published: (2024)
Group Interventions on Deep Networks for Causal Discovery in Subsystems
by: Ahmad, Wasim, et al.
Published: (2025)
by: Ahmad, Wasim, et al.
Published: (2025)
PAHQ: Accelerating Automated Circuit Discovery through Mixed-Precision Inference Optimization
by: Wang, Xinhai, et al.
Published: (2025)
by: Wang, Xinhai, et al.
Published: (2025)
Training with Confidence: Catching Silent Errors in Deep Learning Training with Automated Proactive Checks
by: Jiang, Yuxuan, et al.
Published: (2025)
by: Jiang, Yuxuan, et al.
Published: (2025)
AutoSciDACT: Automated Scientific Discovery through Contrastive Embedding and Hypothesis Testing
by: Bright-Thonney, Samuel, et al.
Published: (2025)
by: Bright-Thonney, Samuel, et al.
Published: (2025)
The Interaction Bottleneck of Deep Neural Networks: Discovery, Proof, and Modulation
by: Deng, Huiqi, et al.
Published: (2025)
by: Deng, Huiqi, et al.
Published: (2025)
Automated Deep Learning for Load Forecasting
by: Keisler, Julie, et al.
Published: (2024)
by: Keisler, Julie, et al.
Published: (2024)
Scaling Up Data Parallelism in Decentralized Deep Learning
by: Xie, Bing, et al.
Published: (2025)
by: Xie, Bing, et al.
Published: (2025)
Deep Learning Opacity in Scientific Discovery
by: Duede, Eamon
Published: (2022)
by: Duede, Eamon
Published: (2022)
A priori Estimates for Deep Residual Network in Continuous-time Reinforcement Learning
by: Yin, Shuyu, et al.
Published: (2024)
by: Yin, Shuyu, et al.
Published: (2024)
Generalized Category Discovery in Federated Graph Learning
by: Yuan, Zhongzheng, et al.
Published: (2026)
by: Yuan, Zhongzheng, et al.
Published: (2026)
Learning to Defer for Causal Discovery with Imperfect Experts
by: Clivio, Oscar, et al.
Published: (2025)
by: Clivio, Oscar, et al.
Published: (2025)
Automated Reinforcement Learning: An Overview
by: Afshar, Reza Refaei, et al.
Published: (2022)
by: Afshar, Reza Refaei, et al.
Published: (2022)
Beyond Scaleup: Knowledge-aware Parsimony Learning from Deep Networks
by: Yao, Quanming, et al.
Published: (2024)
by: Yao, Quanming, et al.
Published: (2024)
Causal Discovery for Irregularly Time Series with Consistency Guarantees
by: Li, Weihong, et al.
Published: (2025)
by: Li, Weihong, et al.
Published: (2025)
Efficient Automated Circuit Discovery in Transformers using Contextual Decomposition
by: Hsu, Aliyah R., et al.
Published: (2024)
by: Hsu, Aliyah R., et al.
Published: (2024)
Automated Capability Discovery via Foundation Model Self-Exploration
by: Lu, Cong, et al.
Published: (2025)
by: Lu, Cong, et al.
Published: (2025)
Goal Discovery with Causal Capacity for Efficient Reinforcement Learning
by: Yu, Yan, et al.
Published: (2025)
by: Yu, Yan, et al.
Published: (2025)
Procedural Generation of Algorithm Discovery Tasks in Machine Learning
by: Goldie, Alexander D., et al.
Published: (2026)
by: Goldie, Alexander D., et al.
Published: (2026)
Controllable Discovery of Intents: Incremental Deep Clustering Using Semi-Supervised Contrastive Learning
by: Rawat, Mrinal, et al.
Published: (2024)
by: Rawat, Mrinal, et al.
Published: (2024)
DeepEvidence: Empowering Biomedical Discovery with Deep Knowledge Graph Research
by: Wang, Zifeng, et al.
Published: (2025)
by: Wang, Zifeng, et al.
Published: (2025)
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery
by: Lu, Chris, et al.
Published: (2024)
by: Lu, Chris, et al.
Published: (2024)
$k$-server-bench: Automating Potential Discovery for the $k$-Server Conjecture
by: Brilliantov, Kirill, et al.
Published: (2026)
by: Brilliantov, Kirill, et al.
Published: (2026)
A Generalist Cross-Domain Molecular Learning Framework for Structure-Based Drug Discovery
by: Zhu, Yiheng, et al.
Published: (2025)
by: Zhu, Yiheng, et al.
Published: (2025)
Effective Causal Discovery under Identifiable Heteroscedastic Noise Model
by: Yin, Naiyu, et al.
Published: (2023)
by: Yin, Naiyu, et al.
Published: (2023)
SPADE: Faster Drug Discovery by Learning from Sparse Data
by: Nandakumar, Rahul, et al.
Published: (2026)
by: Nandakumar, Rahul, et al.
Published: (2026)
MARLIN: Multi-Agent Reinforcement Learning for Incremental DAG Discovery
by: Li, Dong, et al.
Published: (2026)
by: Li, Dong, et al.
Published: (2026)
Learning to Inject: Automated Prompt Injection via Reinforcement Learning
by: Chen, Xin, et al.
Published: (2026)
by: Chen, Xin, et al.
Published: (2026)
Evolutionary Task Discovery: Advancing Reasoning Frontiers via Skill Composition and Complexity Scaling
by: Ye, Liqin, et al.
Published: (2026)
by: Ye, Liqin, et al.
Published: (2026)
Similar Items
-
Automated Scientific Discovery: From Equation Discovery to Autonomous Discovery Systems
by: Kramer, Stefan, et al.
Published: (2023) -
Deep Causal Learning: Representation, Discovery and Inference
by: Deng, Zizhen, et al.
Published: (2022) -
Hierarchical Meta-Reinforcement Learning via Automated Macro-Action Discovery
by: Cho, Minjae, et al.
Published: (2024) -
Periodic Topological Deep Learning for Polymer Design and Discovery
by: Yadav, Yasharth, et al.
Published: (2026) -
Integral Signatures of Activation Functions: A 9-Dimensional Taxonomy and Stability Theory for Deep Learning
by: Mali, Ankur, et al.
Published: (2025)