| 2026 | WG | Graph Reconstruction with a Connected Components Oracle. | Juha Harviainen, Pekka Parviainen |
| 2025 | AISTATS | On Tractability of Learning Bayesian Networks with Ancestral Constraints. | Juha Harviainen, Pekka Parviainen |
| 2025 | ICML | Optimal Decision Tree Pruning Revisited: Algorithms and Complexity. | Juha Harviainen, Frank Sommer, Manuel Sorge, Stefan Szeider |
| 2025 | UAI | Quantum Speedups for Bayesian Network Structure Learning. | Juha Harviainen, Kseniya Rychkova, Mikko Koivisto |
| 2024 | ICML | Estimating the Permanent by Nesting Importance Sampling. | Juha Harviainen, Mikko Koivisto |
| 2024 | UAI | Faster Perfect Sampling of Bayesian Network Structures. | Juha Harviainen, Mikko Koivisto |
| 2023 | AAAI | A Faster Practical Approximation Scheme for the Permanent. | Juha Harviainen, Mikko Koivisto |
| 2023 | UAI | Revisiting Bayesian network learning with small vertex cover. | Juha Harviainen, Mikko Koivisto |
| 2023 | UAI | On inference and learning with probabilistic generating circuits. | Juha Harviainen, Vaidyanathan Peruvemba Ramaswamy, Mikko Koivisto |
| 2019 | ISSRE | Software Framework for Data Fault Injection to Test Machine Learning Systems. | Jukka K. Nurminen, Tuomas Halvari, Juha Harviainen, Juha Myllri, Antti Rysk, Juuso Silvennoinen, Tommi Mikkonen |