Alessandra Russo
Professor in Applied Computational Logic
Develops logic-based machine learning such as the ILASP inductive logic programming system and neuro-symbolic learning.
Alessandra Russo's lab at Imperial works on reasoning & neuro-symbolic AI. 36 papers since 2023, 8 at top venues, mostly AAMAS and ACL. 7 PhD students. 8 alumni. Applications close .
At a glance
- papers, 2023–2026
- 9/ year
- at T1 venues
- 22%
- PhD students
- 7
- MS students
- 0
- alumni listed
- 8
Papers by yearfrom DBLP, 2023–2026
- 11 papers2026 · T1 3 · collecting
- 8 papers2025 · T1 3
- 7 papers2024 · T1 0
- 10 papers2023 · T1 2
T1 venuesOtherVenues: AAMAS, ACL, AAAI, EACL, ICC
Research focuspaper titles that use each topic's words
- Reasoning & neuro-symbolic AI11 papers
- neuro-symbolic6 papers
- neuro-symbolic learning3 papers
- logic2 papers
- logic-based0 papers
Paper list
From DBLP.
202611 papers
- Trans. Mach. Learn. Res.$\texttt{DecompSR}$: A Dataset for Decomposed Analyses of Compositional Multihop Spatial Reasoning (opens in a new tab)
- Trans. Mach. Learn. Res.$\texttt{SEM-CTRL}$: Semantically Controlled Decoding (opens in a new tab)
- IEEE Open J. Commun. Soc.AE-MAPPO: Attention-Enhanced Multi-Agent PPO for Explainable Resource Allocation in 6G O-RAN Slicing (opens in a new tab)
- AAAI (T1)Beyond Fixed Tasks: Unsupervised Environment Design for Task-Level Pairs (opens in a new tab)
- AAAI Spring SymposiaFailure Detection in Chemical Processes Using Symbolic Machine Learning: A Case Study on an Ethylene Oxidation (opens in a new tab)
- ICCInterpretable Attention-Based Multi-Agent PPO for Latency Spike Resolution in 6G RAN Slicing (opens in a new tab)
- PIMRCInterpretable Scheduling in Radio Access Networks via Automata Learning (opens in a new tab)
- ACL (T1)Red-Bandit: Test-Time Adaptation for LLM Red-Teaming via Bandit-Guided LoRA Experts (opens in a new tab)
- J. Log. Comput.Towards ILP-based LTLf passive learning (opens in a new tab)
- Formal Aspects Comput.Transition‑Based Acceptance for ω‑Regular Expression Synthesis (opens in a new tab)
- ICLR (T1)VITA: Zero-Shot Value Functions via Test-Time Adaptation of Vision-Language Models (opens in a new tab)
20258 papers
- NeSyDisentangling Neural Disjunctive Normal Form Models (opens in a new tab)
- IEEE Open J. Commun. Soc.Explainable Reinforcement and Causal Learning for Improving Trust to 6G Stakeholders (opens in a new tab)
- AAMAS (T1)FORM: Learning Expressive and Transferable First-Order Logic Reward Machines (opens in a new tab)
- ACL (T1)Learning and Enforcing Context-Sensitive Control for LLMs (opens in a new tab)
- AAMAS (T1)Neural DNF-MT: A Neuro-symbolic Approach for Learning Interpretable and Editable Policies (opens in a new tab)
- SPAIML@ECAIPreliminary Investigation into Uncertainty-Aware Attack Stage Classification (opens in a new tab)
- OVERLAYRNN Generalization to Omega-Regular Languages (opens in a new tab)
- ITASEC/SERICSTowards Cyber Resilience against APTs (opens in a new tab)
20247 papers
- GreenAI@AI*IAA Declarative Framework for Temporal Reasoning in Green-Aware Applications (opens in a new tab)
- NeSyEmbed2Rule Scalable Neuro-Symbolic Learning via Latent Space Weak-Labelling (opens in a new tab)
- KRLearning Robust Reward Machines from Noisy Labels (opens in a new tab)
- FUSIONTeamCollab: A Framework for Collaborative Perception-Cognition-Communication-Action (opens in a new tab)
- NeSyThe Role of Foundation Models in Neuro-Symbolic Learning and Reasoning (opens in a new tab)
- LPNMRTowards Explainable Weather Forecasting Through FastLAS (opens in a new tab)
- LPNMRUsing Learning from Answer Sets for Robust Question Answering with LLM (opens in a new tab)
202310 papers
- COGAI@IJCLRActive Learning in Neurosymbolic AI with Embed2Sym (opens in a new tab)
- Machine LearningFFNSL: Feed-Forward Neural-Symbolic Learner (opens in a new tab)
- CODASPYFLAP - A Federated Learning Framework for Attribute-based Access Control Policies (opens in a new tab)
- ICML (T1)Hierarchies of Reward Machines (opens in a new tab)
- Theory Pract. Log. Program.Introduction to the 39th International Conference on Logic Programming Special Issue (opens in a new tab)
- AAMAS WorkshopLearning Reward Machines in Cooperative Multi-agent Tasks (opens in a new tab)
- AAMAS WorkshopNeuro-Symbolic AI + Agent Systems: A First Reflection on Trends, Opportunities and Challenges (opens in a new tab)
- IJCAI (T1)Neuro-Symbolic Learning of Answer Set Programs from Raw Data (opens in a new tab)
- AAAI Spring Symposium: MAKENeuro-symbolic Rule Learning in Real-world Classification Tasks (opens in a new tab)
- EACLTowards preserving word order importance through Forced Invalidation (opens in a new tab)
Where alumni went8 listed
Apply to Imperial2027 (Apr/Oct)
Computing PhD
- Round
- Round 2 (1 Dec 2026)
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- none
Confirmed on the program page.
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