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Posts by Collection
portfolio
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publications
Federated Learning for Causal Inference using deep generative disentangled models
Published in Deep Generative Models for Health Wrokshop, NeurIPS2023, 2023
NeurIPS23.
Propensity Weighted federated learning for treatment effect estimation in distributed imbalanced environments
Published in Computers in Biology and Medicine. Elsevier, 2024
Vol. 178, 108779
DeCaFlow: A Deconfounding Causal Generative Model
Published in Neural Information Processing Systems 2025 (NeurIPS 2025), San Diego, CA, USA (2-7 Dec 2025), 2025
NeurIPS 2025 SPOTLIGHT
Deep Survival Analysis in Multimodal Medical Data: A Parametric and Probabilistic Approach with Competing Risks
Published in ArXiv Preprint, 2025
Interpretable Clinical Classification with Kolgomorov-Arnold Networks
Published in ArXiv Preprint, 2025
CausalKANs: interpretable treatment effect estimation with Kolmogorov-Arnold networks
Published in ArXiv Preprint, 2025
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience
Graduate couses, Universidad Politécnica de Madrid, Department of Signals, Systems and Radiocommunications, 2024
Teacher assistant
- Probability and Random Signals (B.S in Data Engineering, 2nd course)
- Python laboratories, practical implications of probability and random signals
- Discrete Time Signals and Systems (B.S in Telecommunication Engineering, 3rd course)
- MATLAB programming, signal processing, and system analysis
- Advanced Signal and Data Analysis (B.S in Data Engineering, 3th course)
- Machine learning, generative models, Python programming