For a more complete list of my publications, please check my Google Scholar profile.

Selected Publications

• C. Li, J.Lopez-Camuñas, J. Thomas, J. Andreas, A.Lapedriza, A. Torralba, T. Rott, "Automated Detection of Visual Attribute Reliance with a Self-Reflective Agent", Neural Information and Processing Systems (NeurIPS), 2025.
• J.Lopez-Camuñas, C. Li, T. Rott, A. Torralba, A.Lapedriza, "OpenMAIA: a Multimodal Automated Interpretability Agent based on open-source models", Workshop on Mechanistic Interpretability at Neural Information and Processing Systems (NeurIPS), 2025.
• C. Bustos, A. Sole-Ribalta, N. Elhaouij, J. Borge-Holthoefer, A. Lapedriza, R. Picard, "Analyzing the Visual Road Scene for Driver Stress Estimation", IEEE Transactions on Affective Computing, 2025. (PDF)
• S. Dudy, I.S. Ahmad, R.Kitajima, A. Lapedriza, "Analyzing Cultural representations of Emotions in LLMs through Mixed Emotion Survey", 12th International Conference on Affective Computing & Intelligent interactions (ACII), 2024. (Best paper award, PDF).
• A. Lapedriza, J. Albo-Canals, N. ElHaouij, J. Lee, H. Hernandez, J. Amore, Y.Kyun, C. Jerez, L. Lahuerta, N. Gonzalez, M. Fernandez, M. Ayats, S. Ferreira, A. Ballesteros, R. Picard, "Deploying a Robotic Ride-on Car in the Hospital to Reduce the Stress of Pediatric Patients before Surgery", ACM/IEEE International Conference on Human-Robot Interaction (HRI, LBR track), 2024. (PDF)
• C. Bustos, C. Civit, B. Du, A. Sole-Ribalta, A. Lapedriza, "Leveraging Vision-Language models for Visual Sentiment Analysis: a study on CLIP", 11th International Conference on Affective Computing & Intelligent interactions (ACII), 2023. (PDF)
• E. Wever, DP. Papadopoulos, A. Lapedriza, F.Ofli, M.Imran, A. Torralba, "Incidents 1M: a large-scale dataset of images with natural disasters, damage, and incidents", IEEE Transaction on Pattern Analysis and Machine Intelligence, 2022. (PDF)
• S. Jeong, L. Aymerich-Franch, K. Arias, S. Alghowinem, A. Lapedriza, R. Picard, H.W. Park, C. Breaseal, "Deploying a Robotic Positive Psychology Coach to improve College Students' Psychological Wellbeing", Journal on User Modeling and User-Adapted Interaction, 2022. (PDF)
• D. Teotia, A. Lapedriza, S. Ostadabbas, "Interpreting Face Inference Models using Hierarchical Network Dissection", IEEE International Journal on Computer Vision (IJCV), 2022. (PDF)
• C. Bustos, N. ElHaouij, A. Sole, J. Borge, A. Lapedriza, R. Picard, "Predicting Driver Self-Report Stress by Analyzing the Road Scene", 9th International Conference on Affective Computing & Intelligent interactions (ACII), 2021. (PDF)
• H. Hayat, C. Ventura, A. Lapedriza, "Recognizing Emotions Evoked by Movies using Multi-task Learning", 9th International Conference on Affective Computing & Intelligent interactions (ACII), 2021. (PDF)
• C. Bustos, D. Rhoads, A. Sole-Ribalta, D.Masip, A.Arenas, A. Lapedriza, J Borge-Holthoefer, "Explainable, automated urban interventions to improve pedestrian and vehicle safety", Journal on Transportation Research, Part C, 2021. (PDF)
• D. Bau, J-Y. Zhu, H. Strobelt, A. Lapedriza, B. Zhou, A. Torralba, "Understanding the role of individual units in a deep neural network", Proceedings of the National Academy of Sciences (PNAS), 2020. (PDF)
• E. Weber, N. Marzo, D. P. Papadopoulos, A. Biswas, A. Lapedriza, F. Ofli, M. Imran, A. Torralba, "Detecting natural disasters, damage, and incidents in the wild", European Conferece in Computer Vision (ECCV), 2020. (PDF)
• A.Ghanderharioun, J. H. Shen, N. Jaques, C. Ferguson, N. Jones, A.Lapedriza, R.Picard, "Approximating Interactive Human Evaluation with Self-Play for Open-Domain Dialog Systems", Neural Information Processing Systems (NeurIPS), 2019. (PDF)
• N. Jaques, A.Ghanderharioun, J. H. Shen, N. Jaques, C. Ferguson, A.Lapedriza, N. Jones, S. Gu, R.Picard, "Way Off-Policy Batch Deep Reinforcement Learning of Implicit Human Preferences in Dialog", arXiv preprint arXiv: 1907.00456, 2019. (PDF)
• J. H. Shen, A.Lapedriza, R.Picard, "Unintentional affective priming during labeling may bias labels", IEEE International Conference on Affective Computing and Intelligent Interaction (ACII), 2019. (PDF)
• S. Jeong, S. Alghowinem, L. Aymerich, K. Arias, A. Lapedriza, R.Picard, H-W.Park, C. Breazeal, "A robotic psychology coach to improve college student's wellbeing", IEEE International Conference on Robot&Human interactive communication (RO-MAN), 2020. (Best paper award, PDF).
• R. Kosti, J.M Alvarez, A. Recasens, A.Lapedriza. "Context Based Emotion Recognition using EMOTIC Dataset". IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019. (PDF)
• B. Zhou, A. Lapedriza, A. Khosla, A. Oliva, and A. Torralba. "Places: A 10 Million Image Database for Scene Recognition". IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017.(PDF)
• R. Kosti, J.M Alvarez, A. Recasens, A.Lapedriza. "Emotion Recognition in Context". Computer Vision and Pattern Recognition (CVPR), 2017. (PDF)
• Bakhtiary, A. H., Lapedriza, A., Masip, D. "Winner Takes All Hashing for speeding up the training of Neural Networks in Large Class Problems". Pattern Recognition Letters, 2017.
• B. Zhou, A. Khosla, A. Lapedriza, A. Oliva, and A. Torralba."Learning Deep Features for Discriminative Localization". Computer Vision and Pattern Recognition (CVPR), 2016. (PDF)
• B. Zhou, A. Khosla, A. Lapedriza, A. Oliva, and A. Torralba."Object Detectors Emerge in Deep Scene CNNs", International Conference on Learning Representations (ICLR), 2015. (PDF)
• Amir H. Bakhtiary, A. Lapedriza, D. Masip, "Speeding Up Neural Networks for Large Scale Classification using WTA Hashing." arXiv preprint arXiv:1504.07488, 2015.
• B. Zhou, A. Lapedriza, J.Xiao, A. Torralba, and A. Oliva, "Learning Deep Features for Scene Recognition using Places Database", Advances in Neural Information Processing Systems 27 (NeuIPS), Montreal, 2014. (PDF)
• David Sanchez-Mendoza, David Masip, and Àgata Lapedriza. "Emotions Classification using Facial Action Units Recognition".Congrés Internacional de l'Associació Catalana d'Intel·ligència Artificial. Barcelona. 2014.
• A. Lapedriza, H. Pirsiavash, Z. Bylinskii, and A. Torralba. "Are all training examples equally valuable?" arXiv preprint arXiv:1311.6510, 2013. (PDF)
• L. Igual, A. Lapedriza, and R. Borràs. "Robust Gait-Based Gender Classification using Depth Cameras". Eurasip Journal On Image And Video Processing, 2012.
• R. Borràs, A. Lapedriza, and L. Igual. Depth Information in Human Gait Analysis: An Experimental Study on Gender Recognition. International Conference on Image Analysis and Recognition (ICIAR) 2012. 25-27|06|2012, Aveiro (Portugal)
  DGait Database
• D. Sanchez-Mendoza, D. Masip, X. Baró, and A. Lapedriza. "Emotion Detection using Hybrid Structural and Appearance Descriptors". Proceedings of the 10th International Conference on Modelling Decisions for Artificial Intelligence. Barcelona.
• M. Drozdzal, A. Hernández, S. Seguí, X. Baró, S. Escalera, A.Lapedriza, D. Masip, P. Radeva, J. Vitrià, "Combining Detectors for Human Layout Analysis", 11th European Conference on Computer Vision,The Pascal Visual Object Classes Challenge Workshop 2010, Greece,2010. Pascal 2 Person layout challenge winner.
• J. Arnedo-Moreno, A. Lapedriza"Visualizing key authenticity: turning your face into your public key", in Proceedings of the 6th China International Conference on Information Security and Cryptology (Inscrypt 2010), pp. 605-618, LNCS
• A. Lapedriza. Multitask Learning Techniques for Automatic Face Classification. Ediciones Gráficas Rey, ISBN 978-84-936529-6-8. PhD Dissertation. 2009. Advisors: Dr. Jordi Vitrià and Dr. David Masip
• D., A. Lapedriza, J. Vitrià, “Boosted Online Learning for Face Recognition”. IEEE Transactions on Systems Man and Cybernetics part B. Vol 39, Issue 2, 530-538. April 2009. ISI: 1.353(33/93).
• M. S. Keil, A. Lapedriza, D. Masip, J. Vitrià, “Preferred spatial frequencies for human face processing are associated with optimal class discrimination in the machine”. PLoS ONE, Public Library of Science. PLoS ONE 3(7): e2590. 2008. doi:10.1371/journal.pone.0002590. (Download)
• A. Lapedriza, D. Masip and J. Vitrià. “ On the use of independent tasks for face recognition ”. IEEE Conference on Computer Vision and Pattern Recognition, 2008. CVPR 2008. 23-28 June 2008 Page(s):1 - 6. Anchorage, Alaska
• D. Masip, A. Lapedriza, and J. Vitrià. “Multitask Learning: An application to Incremental Face Recognition”. International Conference on Computer Vision Theory and Applications - VISAPP 2008.
• A. Lapedriza, D. Masip, J. Vitrià. “Subject Recognition Using a New Approach for Feature Extraction”. International Conference on Computer Vision Theory and Applications - VISAPP 2008.
• A. Lapedriza, D. Masip, J. Vitrià. “Shared Regularization Techniques for Logistic Regression Model”. 2nd CVC Internal Workshop, Computer Vision: Progress of Research and Development, J. Lladós (ed.)2007
• D. Masip, A. Lapedriza, and J. Vitrià. "Multitask learning applied to face recognition". 1st Spanish Workshop on Biometrics. SWB2007. June 2007, Girona.
• D. Masip, A. Lapedriza, J. Vitriá. "Face VerificationSharing Knowledge from Different Subjects”. In Proceedings of International Conference on Computer Vision Theory and Applications - VISAPP 2007, Barcelona, Spain, 2007.
• A. Lapedriza, M-J. Jiménez-Marín, J. Vitrià, “Gender Recognition in Non-Controlled Environments”. In proceedings of the International Conference on Pattern Recogintion (ICPR 2007). Hong Kong, China, 2007.
• A. Lapedriza, D. Masip, J. Vitrià. "A Hierarchical Approach for Multi-task Logistic Regression". In Proc. 3rd Iberian Conference on Pattern Recognition and Image Analysis. J. Martí et al. (Eds.). Lecture Notes in Computer Science 4478. Pattern Recognition and Image Analysis, June 2007, pp. 258-265. Springer-Verlag Berlin Heidelberg. ISBN 978-3-540-72848-1.
• D. Masip, A. Lapedriza, J. Vitrià.“Measuring external Face appearance for Face Classification”. Face Recognition. Edited by: Kresimir Delac and Mislav Grgic. ISBN 978-3-902613-03-5. 2007.
• A. Lapedriza, S. Seguí, D. Masip, J. Vitrià. “A Sparse Bayesian Approach for Joint Feature Selection and Classifier Learning”, Pattern Analysis and Applications, Vol 11, Issue 3-4 299-308, 2006.
• A. Lapedriza, D. Masip, J. Vitrià. “On the Use of External Features for Face Verification”. Journal of Multimedia (JMM). Acedemy Publisher. Vol 1, n. 4 July 2006.
• A. Lapedriza, D. Masip, J. Vitrià. “Face Verification using External Features”. 7th IEEE International Conference on Automatic Face and Gesture Recognition. 10-12 Abril 2006. IEEE Eds. pp(s):132 – 137. ISBN 0-7695-2503-2. Southampton, UK.
• A. Lapedriza, D. Masip, J. Vitrià. “Experimental Study of the Usefulness of External Features for Face Classification”. Catalan Conference on Artificial Intelligence , 2005. In Artificial Intelligence Research and Development, IOS Press, Amsterdam, 2005, pp. 99-106. ISBN 0922-6/1-58603-560-6. El Alguer.
• A. Lapedriza, D. Masip, J. Vitrià. "Are External Face Features Useful for Automatic Face Classification?". Accepted for oral presentation in the IEEE Workshop on Face Recognition Grand Challenge Experiments, in conjunction with Computer Vision and Pattern Recognition(CVPR 2005) San Diego, California USA.
• A. Lapedriza, D. Masip, J. Vitrià. "The Contribution of External Features to Face Recognition", In Proc. 2nd Iberian Conference on Pattern Recognition and Image Analysis. J.S. Marques et al. (Eds.). Lecture Notes in Computer Science 3523. Pattern Recognition and Image Analysis, June 2005, pp. 537-544. Springer-Verlag Berlin Heidelberg. ISBN 0302-9743. ISI: 0.402 (62/71).
• A. Lapedriza. Face Classification using External Features, CVC Tech.Rep. #083 July,2005
• A. Lapedriza, J. Vitrià. “Open n-Grams and Discriminant Features in Text World: an Empirical Study”, Catalan Conference on Artificial Intelligence , 2004. In Recent Advances on Artificial Intelligence Research and Development, IOS-Press, Amsterdam, ISBN 1-58603-466-9. Barcelona, Spain.