Grounding Symbols in Multi-Modal Instructions. - Yordan Hristov; Svetlin Penkov; Alex Lascarides; Subramanian Ramamoorthy (RoboNLP@ACL, 2017)

Interpretable Latent Spaces for Learning from Demonstration. - Yordan Hristov; Alex Lascarides; Subramanian Ramamoorthy (CoRL, 2018)

Using Causal Analysis to Learn Specifications from Task Demonstrations. - Daniel Angelov; Yordan Hristov; Subramanian Ramamoorthy (AAMAS, 2019)

Hybrid system identification using switching density networks. - Michael Burke; Yordan Hristov; Subramanian Ramamoorthy (CoRL, 2019)

Disentangled Relational Representations for Explaining and Learning from Demonstration. - Yordan Hristov; Daniel Angelov; Michael Burke; Alex Lascarides; Subramanian Ramamoorthy (CoRL, 2019)

DynoPlan: Combining Motion Planning and Deep Neural Network based Controllers for Safe HRL. - Daniel Angelov; Yordan Hristov; Subramanian Ramamoorthy (CoRR, 2019)

From demonstrations to task-space specifications. Using causal analysis to extract rule parameterization from demonstrations. - Daniel Angelov; Yordan Hristov; Subramanian Ramamoorthy (Auton. Agents Multi Agent Syst., 2020)

Composing Diverse Policies for Temporally Extended Tasks. - Daniel Angelov; Yordan Hristov; Michael Burke; Subramanian Ramamoorthy (IEEE Robotics Autom. Lett., 2020)

Learning from Demonstration with Weakly Supervised Disentanglement. - Yordan Hristov; Subramanian Ramamoorthy (ICLR, 2021)

Automatic Synthesis of Experiment Designs from Probabilistic Environment Specifications. - Craig Innes; Yordan Hristov; Georgios Kamaras; Subramanian Ramamoorthy (CoRR, 2021)

Interactive robot learning with human alignment. - Yordan Hristov (2021)

FAN-Trans: Online Knowledge Distillation for Facial Action Unit Detection. - Jing Yang 038; Jie Shen 008; Yiming Lin 001; Yordan Hristov; Maja Pantic (WACV, 2023)

Toward Robust Facial Action Units' Detection. - Jing Yang 038; Yordan Hristov; Jie Shen 008; Yiming Lin 001; Maja Pantic (Proc. IEEE, 2023)

Seamless Interaction: Dyadic Audiovisual Motion Modeling and Large-Scale Dataset. - Vasu Agrawal; Akinniyi Akinyemi; Kathryn Alvero; Morteza Behrooz; Julia Buffalini; Fabio Maria Carlucci; Joy Chen; Junming Chen; Zhang Chen; Shiyang Cheng; Praveen Chowdary; Joe Chuang; et al. (CoRR, 2025)