| Abdelrahman Sayed |
Formal Verification of Neural ODE for Safety Evaluation in Autonomous Vehicles |
B |
1 |
| Aniket Roy |
Learning More from Less: Resource-Constrained Generative AI for Classification, Generation, and Personalization |
B |
1 |
| Aysu Bogatarkan |
Flexible, Lifelong, Explainable, and Robust Solutions for Multi-Agent Path Finding Problems |
D |
3 |
| Boaz Taitler |
Economics of Content Creation with Generative AI |
F |
3 |
| Cassandra Hui-Ming Tan |
Value-Driven Memory-Augmented Generation for Agentic LLMs: Towards Structured and Adaptive Knowledge Utilization |
B |
1 |
| Chang Shi |
Efficient Robot Learning from Diverse Data |
F |
3 |
| Connor Mattson |
Multi-Robot Learning from Human Feedback |
E |
3 |
| Deepika Vemuri |
Learning Through Concepts: Hierarchies, Logic and Reasoning |
C |
2 |
| Depanshu Sani |
Exploiting Graph-Based Structural Priors for Visual Recognition |
E |
3 |
| Dongyue Lu |
Towards Robust and Interpretable Event–Frame Fusion for Autonomous Driving |
E |
3 |
| Fanmeng Wang |
Improve Molecular Conformation Modeling with Geometric Deep Learning |
A |
1 |
| Fengxiang Cheng |
Empowering LLMs with Symbolic Representation and Reasoning |
B |
1 |
| Hadar Shavit |
Next Generation of Empirical Performance Prediction |
D |
3 |
| Jian Wang |
Trustworthy AI-Assisted Programming: Detection and Repair of Unreliable Code |
C |
2 |
| Jiankai Sun |
Wearable Intelligence for Healthcare Robotics: From Brain Activity to Body Movements |
E |
3 |
| Jun-Peng Jiang |
Multimodal Tabular Data Learning |
C |
2 |
| Matteo Ceriscioli |
Eliciting Causal Knowledge from Agents |
C |
2 |
| Maxime Meyer |
Memorization and Expressivity in Transformers: A Learning-Theoretic Perspective |
C |
2 |
| Michelle Ho |
Trustworthy Autonomy Without Human Intervention in Uncertain Domains |
C |
2 |
| Minghong Geng |
Scaling Up Cooperative Multi-Agent Reinforcement Learning Through Hierarchical Heterogeneous Modular Architectures |
C |
2 |
| Müge Fidan |
Knowledge-Based Stable Roommates Problems |
D |
3 |
| Nitay Alon |
Theory-of-Mind in Partially Observed, Mixed-Motive Games |
F |
3 |
| Prakhar Ganesh |
From Decisions to Multiplicity: Frameworks, Theories, and Applications |
C |
2 |
| Rishabh Agrawal |
Towards Offline Imitation Learning: Strictly Batch Settings, Generalization, and Variability in Expertise |
F |
3 |
| Ruihan Zhang |
Optimisation Problems in Constrained Machine Learning |
D |
3 |
| Sachin Vashistha |
Factuality Evaluation using Reasoning and World Modeling |
A |
1 |
| Samarth Khanna |
Ethical Decision-making with AI: Value Alignment and the Role of Reasoning |
C |
2 |
| Sonal Allana |
Conceptualisation and Implementation of Human-centric Privacy Preserving Framework for Explainable AI |
C |
2 |
| Tanmay Ambadkar |
Specification Guided Reinforcement Learning |
B |
1 |
| Tanusree Ghosh |
Exploring the Janus Face of Synthetic Images: From Privacy-secure Biometrics to Universal and Robust Deepfake Detection |
C |
2 |
| Thi Kieu Khanh Ho |
Time-Series Anomaly Detection with Graph-Based Self-Supervised Learning and Foundation Models: Towards Real-World Applications |
A |
1 |
| Thomas Napier |
Creating Generalizable Data-Driven Approaches for Biodiversity Monitoring via Acoustics |
A |
1 |
| Tonmoy Hossain |
Learning to Transform: Unifying Latent Geometric Shape and Appearance Representations in Healthcare Imaging |
C |
2 |
| Xiang Fang |
Advancing Out-of-Distribution Detection Across Diverse Scenarios |
C |
2 |
| Xiliang Yang |
On the Computational Tractability of Probabilistic Global and Local Sufficient Explanation |
C |
2 |
| Xinwei Song |
Designing Incentives for Networked Multi-agent Systems |
C |
2 |
| Yannis Montreuil |
Towards Robust Human–AI Decision-Making via Learning-to-Defer |
D |
3 |
| Yumin Zhou |
Fusing Deep Learning and Fuzzy Logic: A Framework for Adaptive and Scalable Interpretability |
A |
1 |
| Zijian Zhao |
Towards Fairness in Transportation Gig Markets: Identifying, Imitating, and Mitigating Algorithm Discrimination via Deep Reinforcement Learning |
F |
3 |
