Aaron M. Ferber
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
19
Venues
10
Active years
2017–2026
Best venue rank
A*
Where they publish
Papers
19 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Unsupervised Combinatorial Probabilistic Reasoning: Probabilistic Coin Change Problem. | Zhongdi Qu, Yingheng Wang, Utku Umur Acikalin, Aaron M. Ferber, Goncalo J. Gouveia, Brandon Bills, Guohui Li, Joshua Kline, Sunandini Yedla, Xiao Wang, Frank C. Schroeder, Carla P. Gomes |
| 2025 | AAAI | Constraint-aware Pareto Optimization for Tree-Structured Networks: Addressing Decarbonization Targets with Hydropower Expansion. | Marc Grimson, Zhongdi Qu, Yue Mao, Aaron M. Ferber, Felipe Siqueira Pacheco, Sebastian Heilpern, Hector Angarita, Alexander Flecker, Carla P. Gomes |
| 2025 | AISTATS | Diffusion Models as Constrained Samplers for Optimization with Unknown Constraints. | Lingkai Kong, Yuanqi Du, Wenhao Mu, Kirill Neklyudov, Valentin De Bortoli, Dongxia Wu, Haorui Wang, Aaron M. Ferber, Yian Ma, Carla P. Gomes, Chao Zhang |
| 2025 | ICLR | Learning to Explore and Exploit with GNNs for Unsupervised Combinatorial Optimization. | Utku Umur Acikalin, Aaron M. Ferber, Carla P. Gomes |
| 2025 | IJCAI | Expanding Connected Components from Alternative Terminals: Global Optimization for Freshwater Fishes Under the UN's 30x30 Conservation Goal. | Yue Mao, Zhongdi Qu, Imanol Miqueleiz, Aaron M. Ferber, Sami Wolf, Marc Grimson, Sebastian Heilpern, Felipe Siqueira Pacheco, Alexander S. Flecker, Peter B. McIntyre, Carla P. Gomes |
| 2024 | CP | Learning Lagrangian Multipliers for the Travelling Salesman Problem. | Augustin Parjadis, Quentin Cappart, Bistra Dilkina, Aaron M. Ferber, Louis-Martin Rousseau |
| 2024 | ICML | GenCO: Generating Diverse Designs with Combinatorial Constraints. | Aaron M. Ferber, Arman Zharmagambetov, Taoan Huang, Bistra Dilkina, Yuandong Tian |
| 2024 | ICML | Contrastive Predict-and-Search for Mixed Integer Linear Programs. | Taoan Huang, Aaron M. Ferber, Arman Zharmagambetov, Yuandong Tian, Bistra Dilkina |
| 2024 | ICMLA | Critic Loss for Image Classification. | Brendan Hogan Rappazzo, Aaron M. Ferber, Carla Gomes |
| 2024 | ICMLA | GEM-RAG: Graphical Eigen Memories for Retrieval Augmented Generation. | Brendan Hogan Rappazzo, Yingheng Wang, Aaron M. Ferber, Carla Gomes |
| 2023 | CPAIOR | Predicting Wildlife Trafficking Routes with Differentiable Shortest Paths. | Aaron M. Ferber, Emily Griffin, Bistra Dilkina, Burcu B. Keskin, Meredith Gore |
| 2023 | CPAIOR | Local Branching Relaxation Heuristics for Integer Linear Programs. | Taoan Huang, Aaron M. Ferber, Yuandong Tian, Bistra Dilkina, Benoit Steiner |
| 2023 | ICML | SurCo: Learning Linear SURrogates for COmbinatorial Nonlinear Optimization Problems. | Aaron M. Ferber, Taoan Huang, Daochen Zha, Martin Schubert, Benoit Steiner, Bistra Dilkina, Yuandong Tian |
| 2023 | ICML | Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning. | Taoan Huang, Aaron M. Ferber, Yuandong Tian, Bistra Dilkina, Benoit Steiner |
| 2022 | CPAIOR | Learning Pseudo-Backdoors for Mixed Integer Programs. | Aaron M. Ferber, Jialin Song, Bistra Dilkina, Yisong Yue |
| 2021 | AAAI | Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation. | Umang Gupta, Aaron M. Ferber, Bistra Dilkina, Greg Ver Steeg |
| 2021 | SoCS | Learning Pseudo-Backdoors for Mixed Integer Programs. | Aaron M. Ferber, Jialin Song, Bistra Dilkina, Yisong Yue |
| 2020 | AAAI | MIPaaL: Mixed Integer Program as a Layer. | Aaron M. Ferber, Bryan Wilder, Bistra Dilkina, Milind Tambe |
| 2017 | ESA | Prize-Collecting TSP with a Budget Constraint. | Alice Paul, Daniel Freund, Aaron M. Ferber, David B. Shmoys, David P. Williamson |