% Key papers for Search for program synthesis (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages. @inproceedings{aaai2016_learning_104821, title = {{Learning to Branch in Mixed Integer Programming}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2016}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/10080}, } @inproceedings{iclr2018_neural_28729, title = {{Neural-Guided Deductive Search for Real-Time Program Synthesis from Examples}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2018}, url = {https://iclr.cc/virtual/2018/poster/141}, } @inproceedings{neurips2019_write_59207, title = {{Write, Execute, Assess: Program Synthesis with a REPL}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2019}, url = {https://nips.cc/virtual/2019/poster/13958}, } @inproceedings{neurips2018_learning_57288, title = {{Learning Loop Invariants for Program Verification}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2018}, url = {https://nips.cc/virtual/2018/poster/11744}, } @inproceedings{neurips2019_learning_58488, title = {{Learning Local Search Heuristics for Boolean Satisfiability}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2019}, url = {https://nips.cc/virtual/2019/poster/13874}, } @inproceedings{iclr2018_towards_28625, title = {{Towards Synthesizing Complex Programs From Input-Output Examples}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2018}, url = {https://iclr.cc/virtual/2018/poster/269}, } @inproceedings{cvpr2019_transferable_14943, title = {{Transferable AutoML by Model Sharing Over Grouped Datasets}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2019}, } @inproceedings{aaai2018_neural_105956, title = {{Neural Machine Translation with Gumbel-Greedy Decoding}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2018}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/12016}, } @inproceedings{icml2016_learning_35886, title = {{Learning Simple Algorithms from Examples}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2016}, url = {https://proceedings.mlr.press/v48/zaremba16.html}, } @inproceedings{neurips2022_simulation_66225, title = {{Simulation-guided Beam Search for Neural Combinatorial Optimization}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2022}, url = {https://nips.cc/virtual/2022/poster/54936}, } @inproceedings{aaai2020_synthesizing_102134, title = {{Synthesizing Action Sequences for Modifying Model Decisions}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2020}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/5996}, } @inproceedings{aaai2016_towards_104803, title = {{Towards Clause-Learning State Space Search: Learning to Recognize Dead-Ends}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2016}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/10062}, } @inproceedings{aaai2019_improving_100201, title = {{Improving Search with Supervised Learning in Trick-Based Card Games}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2019}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/3909}, } @inproceedings{neurips2019_spoc_58932, title = {{SPoC: Search-based Pseudocode to Code}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2019}, url = {https://nips.cc/virtual/2019/poster/14163}, } @inproceedings{aaai2022_learning_2323, title = {{Learning Logic Programs Though Divide, Constrain, and Conquer}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2022}, url = {https://aaai.org/papers/06446-learning-logic-programs-though-divide-constrain-and-conquer/}, } @inproceedings{aaai2022_scaling_2699, title = {{Scaling Neural Program Synthesis with Distribution-Based Search}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2022}, url = {https://aaai.org/papers/06623-scaling-neural-program-synthesis-with-distribution-based-search/}, } @inproceedings{neurips2022_learning_64220, title = {{Learning to Configure Computer Networks with Neural Algorithmic Reasoning}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2022}, url = {https://nips.cc/virtual/2022/poster/53170}, } @inproceedings{aaai2019_stepping_101047, title = {{Stepping Stones to Inductive Synthesis of Low-Level Looping Programs}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2019}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/4076}, } @inproceedings{iclr2021_representing_30610, title = {{Representing Partial Programs with Blended Abstract Semantics}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2021}, url = {https://iclr.cc/virtual/2021/poster/3184}, } @inproceedings{aaai2023_electrophysiological_3559, title = {{Electrophysiological Brain Source Imaging via Combinatorial Search with Provable Optimality}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2023}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/26471}, } @inproceedings{aaai2024_program_6998, title = {{Program Synthesis with Best-First Bottom-Up Search (Abstract Reprint)}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/30591}, } @inproceedings{aaai2025_eco_8889, title = {{Eco Search: A No-delay Best-First Search Algorithm for Program Synthesis}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/34139}, } @inproceedings{icml2025_autoal_47435, title = {{AutoAL: Automated Active Learning with Differentiable Query Strategy Search}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2025}, url = {https://icml.cc/virtual/2025/poster/45158}, } @inproceedings{icml2026_guaranteed_51450, title = {{Guaranteed Optimal Compositional Explanations for Neurons}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2026}, url = {https://openreview.net/forum?id=MHiiwC3oFR}, } @inproceedings{iclr2025_learning_83886, title = {{Learning to Search from Demonstration Sequences}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2025}, url = {https://iclr.cc/virtual/2025/poster/27934}, }