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Alvaro Soto
Álvaro Soto
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2020 – today
- 2024
- [j29]Gabriel Sepulveda, Marynel Vázquez, Alvaro Soto:
APEX: affordance-based plan executor for indoor robotic navigation. Adv. Robotics 38(13): 849-862 (2024) - [c51]Pablo Messina, René Vidal, Denis Parra, Alvaro Soto, Vladimir Araujo:
Extracting and Encoding: Leveraging Large Language Models and Medical Knowledge to Enhance Radiological Text Representation. ACL (Findings) 2024: 3955-3986 - [c50]Oscar Loch, Pablo Messina, Rafael Elberg, Diego Campanini, Álvaro Soto, René Vidal, Denis Parra:
iHealth-Chile-3&2 at RRG24: Template Based Report Generation. BioNLP@ACL 2024: 614-623 - [c49]Francisco Bahamondes, Billy Peralta, Orietta Nicolis, Andrés Bronfman, Alvaro Soto:
ConvLSTM Neural Network based on Hexagonal Inputs for Spatio-Temporal Forecasting of Traffic Velocities. STRL@IJCAI 2024 - [i29]Tomás Vergara Browne, Álvaro Soto, Akiko Aizawa:
Eigenpruning. CoRR abs/2404.03147 (2024) - [i28]Pablo Messina, René Vidal, Denis Parra, Álvaro Soto, Vladimir Araujo:
Extracting and Encoding: Leveraging Large Language Models and Medical Knowledge to Enhance Radiological Text Representation. CoRR abs/2407.01948 (2024) - 2023
- [j28]Vladimir Araujo, Marie-Francine Moens, Alvaro Soto:
Learning Sentence-Level Representations with Predictive Coding. Mach. Learn. Knowl. Extr. 5(1): 59-77 (2023) - [c48]Vladimir Araujo, Alvaro Soto, Marie-Francine Moens:
A Memory Model for Question Answering from Streaming Data Supported by Rehearsal and Anticipation of Coreference Information. ACL (Findings) 2023: 13124-13138 - [c47]Andrés Villa, Juan León Alcázar, Motasem Alfarra, Kumail Alhamoud, Julio Hurtado, Fabian Caba Heilbron, Alvaro Soto, Bernard Ghanem:
PIVOT: Prompting for Video Continual Learning. CVPR 2023: 24214-24223 - [c46]Julio Hurtado, Alain Raymond-Saez, Vladimir Araujo, Vincenzo Lomonaco, Alvaro Soto, Davide Bacciu:
Memory Population in Continual Learning via Outlier Elimination. ICCV (Workshops) 2023: 3473-3482 - [i27]Vladimir Araujo, Alvaro Soto, Marie-Francine Moens:
A Memory Model for Question Answering from Streaming Data Supported by Rehearsal and Anticipation of Coreference Information. CoRR abs/2305.07565 (2023) - [i26]Felipe del Río, Julio Hurtado, Cristian Buc, Alvaro Soto, Vincenzo Lomonaco:
Studying Generalization on Memory-Based Methods in Continual Learning. CoRR abs/2306.09890 (2023) - [i25]Andrés Villa, Juan Carlos León Alcázar, Alvaro Soto, Bernard Ghanem:
Behind the Magic, MERLIM: Multi-modal Evaluation Benchmark for Large Image-Language Models. CoRR abs/2312.02219 (2023) - 2022
- [j27]Pablo Messina, Pablo Pino, Denis Parra, Alvaro Soto, Cecilia Besa, Sergio Uribe, Marcelo E. Andia, Cristian Tejos, Claudia Prieto, Daniel Capurro:
A Survey on Deep Learning and Explainability for Automatic Report Generation from Medical Images. ACM Comput. Surv. 54(10s): 203:1-203:40 (2022) - [c45]Vladimir Araujo, Julio Hurtado, Alvaro Soto, Marie-Francine Moens:
Entropy-based Stability-Plasticity for Lifelong Learning. CVPR Workshops 2022: 3720-3727 - [c44]Joaquín Ossandón, Benjamín Earle, Álvaro Soto:
Bridging the Visual Semantic Gap in VLN via Semantically Richer Instructions. ECCV (37) 2022: 54-69 - [c43]Vladimir Araujo, Helena Balabin, Julio Hurtado, Alvaro Soto, Marie-Francine Moens:
How Relevant is Selective Memory Population in Lifelong Language Learning? AACL/IJCNLP (2) 2022: 154-160 - [c42]Vladimir Araujo, Andrés Carvallo, Souvik Kundu, José Cañete, Marcelo Mendoza, Robert E. Mercer, Felipe Bravo-Marquez, Marie-Francine Moens, Alvaro Soto:
Evaluation Benchmarks for Spanish Sentence Representations. LREC 2022: 6024-6034 - [i24]Vladimir Araujo, Andrés Carvallo, Souvik Kundu, José Cañete, Marcelo Mendoza, Robert E. Mercer, Felipe Bravo-Marquez, Marie-Francine Moens, Alvaro Soto:
Evaluation Benchmarks for Spanish Sentence Representations. CoRR abs/2204.07571 (2022) - [i23]Vladimir Araujo, Julio Hurtado, Alvaro Soto, Marie-Francine Moens:
Entropy-based Stability-Plasticity for Lifelong Learning. CoRR abs/2204.09517 (2022) - [i22]Alain Raymond-Saez, Julio Hurtado, Alvaro Soto:
A Study on the Predictability of Sample Learning Consistency. CoRR abs/2207.03571 (2022) - [i21]Vladimir Araujo, Helena Balabin, Julio Hurtado, Alvaro Soto, Marie-Francine Moens:
How Relevant is Selective Memory Population in Lifelong Language Learning? CoRR abs/2210.00940 (2022) - [i20]Joaquín Ossandón, Benjamín Earle, Álvaro Soto:
Bridging the visual gap in VLN via semantically richer instructions. CoRR abs/2210.15565 (2022) - [i19]Andrés Villa, Juan León Alcázar, Motasem Alfarra, Kumail Alhamoud, Julio Hurtado, Fabian Caba Heilbron, Alvaro Soto, Bernard Ghanem:
PIVOT: Prompting for Video Continual Learning. CoRR abs/2212.04842 (2022) - 2021
- [j26]Julio Hurtado, Hans Lobel, Alvaro Soto:
Overcoming Catastrophic Forgetting Using Sparse Coding and Meta Learning. IEEE Access 9: 88279-88290 (2021) - [c41]Carlos Aspillaga, Marcelo Mendoza, Alvaro Soto:
Inspecting the concept knowledge graph encoded by modern language models. ACL/IJCNLP (Findings) 2021: 2984-3000 - [c40]Andrés Villa, Juan-Manuel Pérez-Rúa, Vladimir Araujo, Juan Carlos Niebles, Victor Escorcia, Alvaro Soto:
TNT: Text-Conditioned Network with Transductive Inference for Few-Shot Video Classification. BMVC 2021: 304 - [c39]Vladimir Araujo, Andrés Villa, Marcelo Mendoza, Marie-Francine Moens, Alvaro Soto:
Augmenting BERT-style Models with Predictive Coding to Improve Discourse-level Representations. EMNLP (1) 2021: 3016-3022 - [c38]Julio Hurtado, Alain Raymond-Saez, Alvaro Soto:
Optimizing Reusable Knowledge for Continual Learning via Metalearning. NeurIPS 2021: 14150-14162 - [i18]Carlos Aspillaga, Marcelo Mendoza, Alvaro Soto:
Inspecting the concept knowledge graph encoded by modern language models. CoRR abs/2105.13471 (2021) - [i17]Julio Hurtado, Alain Raymond-Saez, Alvaro Soto:
Optimizing Reusable Knowledge for Continual Learning via Metalearning. CoRR abs/2106.05390 (2021) - [i16]Andrés Villa, Juan-Manuel Pérez-Rúa, Vladimir Araujo, Juan Carlos Niebles, Victor Escorcia, Alvaro Soto:
TNT: Text-Conditioned Network with Transductive Inference for Few-Shot Video Classification. CoRR abs/2106.11173 (2021) - [i15]Juan Pablo de Vicente, Alvaro Soto:
DeepSocNav: Social Navigation by Imitating Human Behaviors. CoRR abs/2107.09170 (2021) - [i14]Vladimir Araujo, Andrés Villa, Marcelo Mendoza, Marie-Francine Moens, Alvaro Soto:
Augmenting BERT-style Models with Predictive Coding to Improve Discourse-level Representations. CoRR abs/2109.04602 (2021) - [i13]Cristóbal Eyzaguirre, Felipe del Río, Vladimir Araujo, Álvaro Soto:
DACT-BERT: Differentiable Adaptive Computation Time for an Efficient BERT Inference. CoRR abs/2109.11745 (2021) - 2020
- [j25]Hans Lobel, René Vidal, Alvaro Soto:
CompactNets: Compact Hierarchical Compositional Networks for Visual Recognition. Comput. Vis. Image Underst. 191: 102841 (2020) - [j24]Marcelo Mendoza, Denis Parra, Álvaro Soto:
GENE: Graph generation conditioned on named entities for polarity and controversy detection in social media. Inf. Process. Manag. 57(6): 102366 (2020) - [j23]Felipe Riquelme, Alfredo De Goyeneche, Yundong Zhang, Juan Carlos Niebles, Alvaro Soto:
Explaining VQA predictions using visual grounding and a knowledge base. Image Vis. Comput. 101: 103968 (2020) - [j22]Andres Carvallo, Denis Parra, Hans Lobel, Alvaro Soto:
Automatic document screening of medical literature using word and text embeddings in an active learning setting. Scientometrics 125(3): 3047-3084 (2020) - [c37]Cristóbal Eyzaguirre, Álvaro Soto:
Differentiable Adaptive Computation Time for Visual Reasoning. CVPR 2020: 12814-12822 - [i12]Cristóbal Eyzaguirre, Alvaro Soto:
Differentiable Adaptive Computation Time for Visual Reasoning. CoRR abs/2004.12770 (2020) - [i11]Patricio Cerda-Mardini, Vladimir Araujo, Alvaro Soto:
Translating Natural Language Instructions for Behavioral Robot Navigation with a Multi-Head Attention Mechanism. CoRR abs/2006.00697 (2020) - [i10]Pablo Messina, Pablo Pino, Denis Parra, Alvaro Soto, Cecilia Besa, Sergio Uribe, Marcelo E. Andia, Cristian Tejos, Claudia Prieto, Daniel Capurro:
A Survey on Deep Learning and Explainability for Automatic Image-based Medical Report Generation. CoRR abs/2010.10563 (2020)
2010 – 2019
- 2019
- [j21]Billy Peralta, Ariel Saavedra, Luis Alberto Caro, Alvaro Soto:
Mixture of Experts with Entropic Regularization for Data Classification. Entropy 21(2): 190 (2019) - [j20]Pablo Messina, Vicente Dominguez, Denis Parra, Christoph Trattner, Alvaro Soto:
Content-based artwork recommendation: integrating painting metadata with neural and manually-engineered visual features. User Model. User Adapt. Interact. 29(2): 251-290 (2019) - [c36]Kevin Chen, Juan Pablo de Vicente, Gabriel Sepulveda, Fei Xia, Alvaro Soto, Marynel Vázquez, Silvio Savarese:
A Behavioral Approach to Visual Navigation with Graph Localization Networks. Robotics: Science and Systems 2019 - [c35]Yundong Zhang, Juan Carlos Niebles, Alvaro Soto:
Interpretable Visual Question Answering by Visual Grounding From Attention Supervision Mining. WACV 2019: 349-357 - [i9]Kevin Chen, Juan Pablo de Vicente, Gabriel Sepulveda, Fei Xia, Alvaro Soto, Marynel Vázquez, Silvio Savarese:
A Behavioral Approach to Visual Navigation with Graph Localization Networks. CoRR abs/1903.00445 (2019) - 2018
- [c34]Jingwei Ji, Shyamal Buch, Alvaro Soto, Juan Carlos Niebles:
End-to-End Joint Semantic Segmentation of Actors and Actions in Video. ECCV (4) 2018: 734-749 - [c33]Xiaoxue Zang, Ashwini Pokle, Marynel Vázquez, Kevin Chen, Juan Carlos Niebles, Alvaro Soto, Silvio Savarese:
Translating Navigation Instructions in Natural Language to a High-Level Plan for Behavioral Robot Navigation. EMNLP 2018: 2657-2666 - [c32]Xiaoxue Zang, Marynel Vázquez, Juan Carlos Niebles, Alvaro Soto, Silvio Savarese:
Behavioral Indoor Navigation With Natural Language Directions. HRI (Companion) 2018: 283-284 - [c31]Gabriel Sepulveda, Juan Carlos Niebles, Alvaro Soto:
A Deep Learning Based Behavioral Approach to Indoor Autonomous Navigation. ICRA 2018: 4646-4653 - [i8]Gabriel Sepulveda, Juan Carlos Niebles, Alvaro Soto:
A Deep Learning Based Behavioral Approach to Indoor Autonomous Navigation. CoRR abs/1803.04119 (2018) - [i7]Yundong Zhang, Juan Carlos Niebles, Alvaro Soto:
Interpretable Visual Question Answering by Visual Grounding from Attention Supervision Mining. CoRR abs/1808.00265 (2018) - [i6]Xiaoxue Zang, Ashwini Pokle, Marynel Vázquez, Kevin Chen, Juan Carlos Niebles, Alvaro Soto, Silvio Savarese:
Translating Navigation Instructions in Natural Language to a High-Level Plan for Behavioral Robot Navigation. CoRR abs/1810.00663 (2018) - 2017
- [j19]Tomas Puelma, Viviana Araus, Javier Canales, Elena A. Vidal, Juan M. Cabello, Alvaro Soto, Rodrigo A. Gutiérrez:
GENIUS: web server to predict local gene networks and key genes for biological functions. Bioinform. 33(5): 760-761 (2017) - [j18]Ivan Lillo, Juan Carlos Niebles, Alvaro Soto:
Sparse composition of body poses and atomic actions for human activity recognition in RGB-D videos. Image Vis. Comput. 59: 63-75 (2017) - [j17]Ivan Lillo, Juan Carlos Niebles, Alvaro Soto:
Corrigendum to "Sparse Composition of Body Poses and Atomic Actions for Human Activity Recognition in RGB-D Videos" [Image Vis. Comput. 59 (2017) 63-75]. Image Vis. Comput. 66: 48 (2017) - [c30]Billy Peralta, Luis Alberto Caro, Alvaro Soto:
Unsupervised Local Regressive Attributes for Pedestrian Re-identification. CIARP 2017: 517-524 - [c29]Rodrigo Toro Icarte, Jorge A. Baier, Cristian Ruz, Alvaro Soto:
How a General-Purpose Commonsense Ontology can Improve Performance of Learning-Based Image Retrieval. IJCAI 2017: 1283-1289 - [c28]Vicente Dominguez, Pablo Messina, Denis Parra, Domingo Mery, Christoph Trattner, Alvaro Soto:
Comparing Neural and Attractiveness-based Visual Features for Artwork Recommendation. DLRS@RecSys 2017: 55-59 - [i5]Rodrigo Toro Icarte, Jorge A. Baier, Cristian Ruz, Alvaro Soto:
How a General-Purpose Commonsense Ontology can Improve Performance of Learning-Based Image Retrieval. CoRR abs/1705.08844 (2017) - [i4]Pablo Messina, Vicente Dominguez, Denis Parra, Christoph Trattner, Alvaro Soto:
Exploring Content-based Artwork Recommendation with Metadata and Visual Features. CoRR abs/1706.05786 (2017) - [i3]Vicente Dominguez, Pablo Messina, Denis Parra, Domingo Mery, Christoph Trattner, Alvaro Soto:
Comparing Neural and Attractiveness-based Visual Features for Artwork Recommendation. CoRR abs/1706.07515 (2017) - 2016
- [j16]Billy Peralta, Luis Alberto Caro, Alvaro Soto:
A proposal for supervised clustering with Dirichlet Process using labels. Pattern Recognit. Lett. 80: 52-57 (2016) - [c27]Ivan Lillo, Juan Carlos Niebles, Alvaro Soto:
A Hierarchical Pose-Based Approach to Complex Action Understanding Using Dictionaries of Actionlets and Motion Poselets. CVPR 2016: 1981-1990 - [c26]Analí Alfaro, Domingo Mery, Alvaro Soto:
Action Recognition in Video Using Sparse Coding and Relative Features. CVPR 2016: 2688-2697 - [i2]Analí Alfaro, Domingo Mery, Alvaro Soto:
Action Recognition in Video Using Sparse Coding and Relative Features. CoRR abs/1605.03222 (2016) - [i1]Ivan Lillo, Juan Carlos Niebles, Alvaro Soto:
A Hierarchical Pose-Based Approach to Complex Action Understanding Using Dictionaries of Actionlets and Motion Poselets. CoRR abs/1606.04992 (2016) - 2015
- [j15]Hans Lobel, René Vidal, Alvaro Soto:
Learning Shared, Discriminative, and Compact Representations for Visual Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 37(11): 2218-2231 (2015) - [c25]Santiago Larrain, Denis Parra, Alvaro Soto:
Towards Improving Top-N Recommendation by Generalization of SLIM. RecSys Posters 2015 - [c24]Cristian Ruz, Christian Pieringer, Billy Peralta, Ivan Lillo, Pablo Espinace, R. Gonzalez, B. Wendt, Domingo Mery, Alvaro Soto:
Visual Recognition to Access and Analyze People Density and Flow Patterns in Indoor Environments. WACV 2015: 1-8 - 2014
- [j14]Karim Pichara, Alvaro Soto:
Local feature selection using Gaussian process regression. Intell. Data Anal. 18(3): 319-336 (2014) - [j13]Billy Peralta, Alvaro Soto:
Embedded local feature selection within mixture of experts. Inf. Sci. 269: 176-187 (2014) - [c23]Billy Peralta, Alvaro Soto:
Multi-target Tracking with Sparse Group Features and Position Using Discrete-Continuous Optimization. ACCV Workshops (3) 2014: 680-694 - [c22]Ivan Lillo, Alvaro Soto, Juan Carlos Niebles:
Discriminative Hierarchical Modeling of Spatio-temporally Composable Human Activities. CVPR 2014: 812-819 - 2013
- [j12]Billy Peralta, Pablo Espinace, Alvaro Soto:
Enhancing K-Means using class labels. Intell. Data Anal. 17(6): 1023-1039 (2013) - [j11]Pablo Espinace, Thomas Kollar, Nicholas Roy, Alvaro Soto:
Indoor scene recognition by a mobile robot through adaptive object detection. Robotics Auton. Syst. 61(9): 932-947 (2013) - [c21]Hans Lobel, René Vidal, Alvaro Soto:
Hierarchical Joint Max-Margin Learning of Mid and Top Level Representations for Visual Recognition. ICCV 2013: 1697-1704 - [c20]Hans Lobel, René Vidal, Domingo Mery, Alvaro Soto:
Joint Dictionary and Classifier Learning for Categorization of Images Using a Max-margin Framework. PSIVT 2013: 87-98 - [c19]Analí Alfaro, Domingo Mery, Alvaro Soto:
Human Action Recognition from Inter-temporal Dictionaries of Key-Sequences. PSIVT 2013: 419-430 - 2012
- [j10]Tomas Puelma, Rodrigo A. Gutiérrez, Alvaro Soto:
Discriminative local subspaces in gene expression data for effective gene function prediction. Bioinform. 28(17): 2256-2264 (2012) - [j9]Luis Alberto Caro, Javier Correa, Pablo Espinace, Daniel Langdon, Daniel Maturana, Rubén Mitnik, Sebastian Montabone, Stefan Pszczólkowski, Anita Araneda, Domingo Mery, Miguel Torres, Alvaro Soto:
Indoor Mobile Robotics at Grima, PUC. J. Intell. Robotic Syst. 66(1-2): 151-165 (2012) - [c18]Billy Peralta, Pablo Espinace, Alvaro Soto:
Adaptive hierarchical contexts for object recognition with conditional mixture of trees. BMVC 2012: 1-11 - 2011
- [j8]Karim Pichara, Alvaro Soto:
Active learning and subspace clustering for anomaly detection. Intell. Data Anal. 15(2): 151-171 (2011) - [c17]Billy Peralta, Alvaro Soto:
Mixing Hierarchical Contexts for Object Recognition. CIARP 2011: 232-239 - [c16]Daniel Maturana, Domingo Mery, Alvaro Soto:
Learning discriminative local binary patterns for face recognition. FG 2011: 470-475 - 2010
- [j7]Sebastian Montabone, Alvaro Soto:
Human detection using a mobile platform and novel features derived from a visual saliency mechanism. Image Vis. Comput. 28(3): 391-402 (2010) - [j6]Javier Correa, Alvaro Soto:
Active Visual Perception for Mobile Robot Localization. J. Intell. Robotic Syst. 58(3-4): 339-354 (2010) - [c15]Daniel Maturana, Domingo Mery, Alvaro Soto:
Face Recognition with Decision Tree-Based Local Binary Patterns. ACCV (4) 2010: 618-629 - [c14]Pablo Espinace, Thomas Kollar, Alvaro Soto, Nicholas Roy:
Indoor scene recognition through object detection. ICRA 2010: 1406-1413
2000 – 2009
- 2009
- [j5]Rubén Mitnik, Matías Recabarren, Miguel Nussbaum, Alvaro Soto:
Collaborative robotic instruction: A graph teaching experience. Comput. Educ. 53(2): 330-342 (2009) - [c13]Daniel Maturana, Domingo Mery, Alvaro Soto:
Face Recognition with Local Binary Patterns, Spatial Pyramid Histograms and Naive Bayes Nearest Neighbor Classification. SCCC 2009: 125-132 - [c12]Pedro Cortez Cargill, Cristobal Undurraga Rius, Domingo Mery, Alvaro Soto:
Performance Evaluation of the Covariance Descriptor for Target Detection. SCCC 2009: 133-141 - 2008
- [j4]Antonio Cansado, Alvaro Soto:
Unsupervised Anomaly Detection in Large Databases Using Bayesian Networks. Appl. Artif. Intell. 22(4): 309-330 (2008) - [j3]Rubén Mitnik, Miguel Nussbaum, Alvaro Soto:
An autonomous educational mobile robot mediator. Auton. Robots 25(4): 367-382 (2008) - [j2]Pablo Espinace, Daniel Langdon, Alvaro Soto:
Unsupervised identification of useful visual landmarks using multiple segmentations and top-down feedback. Robotics Auton. Syst. 56(6): 538-548 (2008) - [c11]Pablo Espinace, Álvaro Soto:
Improving the selection and detection of visual landmarks through object tracking. CVPR Workshops 2008: 1-7 - [c10]Karim Pichara, Alvaro Soto, Anita Araneda:
Detection of Anomalies in Large Datasets Using an Active Learning Scheme Based on Dirichlet Distributions. IBERAMIA 2008: 163-172 - 2007
- [j1]Alvaro Soto, Felipe Zavala, Anita Araneda:
An Accelerated Algorithm for Density Estimation in Large Databases Using Gaussian Mixtures. Cybern. Syst. 38(2): 123-139 (2007) - [c9]Stefan Pszczólkowski, Alvaro Soto:
Human Detection in Indoor Environments Using Multiple Visual Cues and a Mobile Robot. CIARP 2007: 350-359 - 2006
- [c8]Daniel Langdon, Alvaro Soto, Domingo Mery:
Automatic Selection and Detection of Visual Landmarks Using Multiple Segmentations. PSIVT 2006: 601-610 - 2005
- [c7]Alvaro Soto:
Self Adaptive Particle Filter. IJCAI 2005: 1398-1406 - 2004
- [c6]Anita Araneda, Alvaro Soto:
Statistical Inference in Mapping and Localization for Mobile Robots. IBERAMIA 2004: 545-554 - [c5]Rubén Mitnik, Miguel Nussbaum, Alvaro Soto:
Mobile Robotic Supported Collaborative Learning (MRSCL). IBERAMIA 2004: 912-921 - 2003
- [c4]Alvaro Soto:
A Method to Adaptively Propagate the Set of Samples Used by Particle Filters. CAEPIA 2003: 47-56 - [c3]Alvaro Soto, Pradeep K. Khosla:
A Probabilistic Approach for Dynamic State Estimation Using Visual Information. KI 2003: 421-435 - 2001
- [c2]Alvaro Soto, Pradeep K. Khosla:
Probabilistic Adaptive Agent Based System for Dynamic State Estimation using Multiple Visual Cues. ISRR 2001: 559-572 - [c1]Alvaro Soto, Pradeep K. Khosla:
Adaptive Agent Based System for State Estimation Using Dynamic Multidimensional Information Sources. IWSAS 2001: 66-83