Sergio Guadarrama

Publication Activity (10 Years)

Years Active: 2001-2022
Publications (10 Years): 30

Top Topics

Multiple Instance

Visual Representations

Policy Gradient Methods

Object Descriptions

Top Venues

Publications

Kuang-Huei Lee, Ofir Nachum, Tingnan Zhang, Sergio Guadarrama, Jie Tan, Wenhao Yu
PI-ARS: Accelerating Evolution-Learned Visual-Locomotion with Predictive Information Representations. IROS (2022)
Summer Yue, Ebrahim M. Songhori, Joe Wenjie Jiang, Toby Boyd, Anna Goldie, Azalia Mirhoseini, Sergio Guadarrama
Scalability and Generalization of Circuit Training for Chip Floorplanning. ISPD (2022)
Kuang-Huei Lee, Ofir Nachum, Mengjiao Yang, Lisa Lee, Daniel Freeman, Sergio Guadarrama, Ian Fischer, Winnie Xu, Eric Jang, Henryk Michalewski, Igor Mordatch
Multi-Game Decision Transformers. NeurIPS (2022)
Kuang-Huei Lee, Ofir Nachum, Mengjiao Yang, Lisa Lee, Daniel Freeman, Winnie Xu, Sergio Guadarrama, Ian Fischer, Eric Jang, Henryk Michalewski, Igor Mordatch
Multi-Game Decision Transformers. CoRR (2022)
Kuang-Huei Lee, Ofir Nachum, Tingnan Zhang, Sergio Guadarrama, Jie Tan, Wenhao Yu
PI-ARS: Accelerating Evolution-Learned Visual-Locomotion with Predictive Information Representations. CoRR (2022)
Kuang-Huei Lee, Anurag Arnab, Sergio Guadarrama, John F. Canny, Ian Fischer
Compressive Visual Representations. CoRR (2021)
Kuang-Huei Lee, Anurag Arnab, Sergio Guadarrama, John F. Canny, Ian Fischer
Compressive Visual Representations. NeurIPS (2021)
Kuang-Huei Lee, Ian Fischer, Anthony Liu, Yijie Guo, Honglak Lee, John F. Canny, Sergio Guadarrama
Predictive Information Accelerates Learning in RL. CoRR (2020)
Stephanie C. Y. Chan, Samuel Fishman, Anoop Korattikara, John F. Canny, Sergio Guadarrama
Measuring the Reliability of Reinforcement Learning Algorithms. ICLR (2020)
Kuang-Huei Lee, Ian Fischer, Anthony Liu, Yijie Guo, Honglak Lee, John F. Canny, Sergio Guadarrama
Predictive Information Accelerates Learning in RL. NeurIPS (2020)
Justin Fu, Anoop Korattikara, Sergey Levine, Sergio Guadarrama
From Language to Goals: Inverse Reinforcement Learning for Vision-Based Instruction Following. ICLR (Poster) (2019)
Stephanie C. Y. Chan, Sam Fishman, John F. Canny, Anoop Korattikara, Sergio Guadarrama
Measuring the Reliability of Reinforcement Learning Algorithms. CoRR (2019)
Justin Fu, Anoop Korattikara, Sergey Levine, Sergio Guadarrama
From Language to Goals: Inverse Reinforcement Learning for Vision-Based Instruction Following. CoRR (2019)
Zbigniew Wojna, Vittorio Ferrari, Sergio Guadarrama, Nathan Silberman, Liang-Chieh Chen, Alireza Fathi, Jasper R. R. Uijlings
The Devil is in the Decoder: Classification, Regression and GANs. Int. J. Comput. Vis. 127 (11-12) (2019)
Carl Vondrick, Abhinav Shrivastava, Alireza Fathi, Sergio Guadarrama, Kevin Murphy
Tracking Emerges by Colorizing Videos. ECCV (13) (2018)
Carl Vondrick, Abhinav Shrivastava, Alireza Fathi, Sergio Guadarrama, Kevin Murphy
Tracking Emerges by Colorizing Videos. CoRR (2018)
Carmen Campomanes-Alvarez, B. Rosario Campomanes Álvarez, Sergio Guadarrama, Óscar Ibáñez, Oscar Cordón
An experimental study on fuzzy distances for skull-face overlay in craniofacial superimposition. Fuzzy Sets Syst. 318 (2017)
Sergio Guadarrama, Ryan Dahl, David Bieber, Jonathon Shlens, Mohammad Norouzi, Kevin Murphy
PixColor: Pixel Recursive Colorization. BMVC (2017)
Jonathan Huang, Vivek Rathod, Chen Sun, Menglong Zhu, Anoop Korattikara, Alireza Fathi, Ian Fischer, Zbigniew Wojna, Yang Song, Sergio Guadarrama, Kevin Murphy
Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors. CVPR (2017)
Siqi Liu, Zhenhai Zhu, Ning Ye, Sergio Guadarrama, Kevin Murphy
Improved Image Captioning via Policy Gradient optimization of SPIDEr. ICCV (2017)
Zbigniew Wojna, Vittorio Ferrari, Sergio Guadarrama, Nathan Silberman, Liang-Chieh Chen, Alireza Fathi, Jasper R. R. Uijlings
The Devil is in the Decoder. CoRR (2017)
Zbigniew Wojna, Jasper R. R. Uijlings, Sergio Guadarrama, Nathan Silberman, Liang-Chieh Chen, Alireza Fathi, Vittorio Ferrari
The Devil is in the Decoder. BMVC (2017)
Alireza Fathi, Zbigniew Wojna, Vivek Rathod, Peng Wang, Hyun Oh Song, Sergio Guadarrama, Kevin P. Murphy
Semantic Instance Segmentation via Deep Metric Learning. CoRR (2017)
Sergio Guadarrama, Ryan Dahl, David Bieber, Mohammad Norouzi, Jonathon Shlens, Kevin Murphy
PixColor: Pixel Recursive Colorization. CoRR (2017)
Jeff Donahue, Lisa Anne Hendricks, Marcus Rohrbach, Subhashini Venugopalan, Sergio Guadarrama, Kate Saenko, Trevor Darrell
Long-Term Recurrent Convolutional Networks for Visual Recognition and Description. IEEE Trans. Pattern Anal. Mach. Intell. 39 (4) (2017)
Siqi Liu, Zhenhai Zhu, Ning Ye, Sergio Guadarrama, Kevin Murphy
Optimization of image description metrics using policy gradient methods. CoRR (2016)
Judy Hoffman, Saurabh Gupta, Jian Leong, Sergio Guadarrama, Trevor Darrell
Cross-modal adaptation for RGB-D detection. ICRA (2016)
Jonathan Huang, Vivek Rathod, Chen Sun, Menglong Zhu, Anoop Korattikara, Alireza Fathi, Ian Fischer, Zbigniew Wojna, Yang Song, Sergio Guadarrama, Kevin Murphy
Speed/accuracy trade-offs for modern convolutional object detectors. CoRR (2016)
Judy Hoffman, Deepak Pathak, Eric Tzeng, Jonathan Long, Sergio Guadarrama, Trevor Darrell, Kate Saenko
Large Scale Visual Recognition through Adaptation using Joint Representation and Multiple Instance Learning. J. Mach. Learn. Res. 17 (2016)
Sergio Guadarrama, Erik Rodner, Kate Saenko, Trevor Darrell
Understanding object descriptions in robotics by open-vocabulary object retrieval and detection. Int. J. Robotics Res. 35 (1-3) (2016)
Johannes Lederer, Sergio Guadarrama
Compute Less to Get More: Using ORC to Improve Sparse Filtering. AAAI (2015)
Jeff Donahue, Lisa Anne Hendricks, Sergio Guadarrama, Marcus Rohrbach, Subhashini Venugopalan, Trevor Darrell, Kate Saenko
Long-term recurrent convolutional networks for visual recognition and description. CVPR (2015)
Austin Myers, Nick Johnston, Vivek Rathod, Anoop Korattikara, Alexander N. Gorban, Nathan Silberman, Sergio Guadarrama, George Papandreou, Jonathan Huang, Kevin Murphy
Im2Calories: Towards an Automated Mobile Vision Food Diary. ICCV (2015)
Jeff Donahue, Lisa Anne Hendricks, Sergio Guadarrama, Marcus Rohrbach, Subhashini Venugopalan, Kate Saenko, Trevor Darrell
Long-term Recurrent Convolutional Networks for Visual Recognition and Description. CoRR (2014)
Jesse Thomason, Subhashini Venugopalan, Sergio Guadarrama, Kate Saenko, Raymond J. Mooney
Integrating Language and Vision to Generate Natural Language Descriptions of Videos in the Wild. COLING (2014)
Johannes Lederer, Sergio Guadarrama
Compute Less to Get More: Using ORC to Improve Sparse Filtering. CoRR (2014)
Yangqing Jia, Evan Shelhamer, Jeff Donahue, Sergey Karayev, Jonathan Long, Ross B. Girshick, Sergio Guadarrama, Trevor Darrell
Caffe: Convolutional Architecture for Fast Feature Embedding. ACM Multimedia (2014)
Judy Hoffman, Sergio Guadarrama, Eric Tzeng, Jeff Donahue, Ross B. Girshick, Trevor Darrell, Kate Saenko
LSDA: Large Scale Detection Through Adaptation. CoRR (2014)
Yangqing Jia, Evan Shelhamer, Jeff Donahue, Sergey Karayev, Jonathan Long, Ross B. Girshick, Sergio Guadarrama, Trevor Darrell
Caffe: Convolutional Architecture for Fast Feature Embedding. CoRR (2014)
Judy Hoffman, Sergio Guadarrama, Eric Tzeng, Ronghang Hu, Jeff Donahue, Ross B. Girshick, Trevor Darrell, Kate Saenko
LSDA: Large Scale Detection through Adaptation. NIPS (2014)
Sergio Guadarrama, Erik Rodner, Kate Saenko, Ning Zhang, Ryan Farrell, Jeff Donahue, Trevor Darrell
Open-vocabulary Object Retrieval. Robotics: Science and Systems (2014)
Sergio Guadarrama, Niveda Krishnamoorthy, Girish Malkarnenkar, Subhashini Venugopalan, Raymond J. Mooney, Trevor Darrell, Kate Saenko
YouTube2Text: Recognizing and Describing Arbitrary Activities Using Semantic Hierarchies and Zero-Shot Recognition. ICCV (2013)
Niveda Krishnamoorthy, Girish Malkarnenkar, Raymond J. Mooney, Kate Saenko, Sergio Guadarrama
Generating Natural-Language Video Descriptions Using Text-Mined Knowledge. AAAI (2013)
Sergio Guadarrama
Around the BISC Roundtable. On Fuzziness (1) (2013)
Sergio Guadarrama, Lorenzo Riano, Dave Golland, Daniel Göhring, Yangqing Jia, Dan Klein, Pieter Abbeel, Trevor Darrell
Grounding spatial relations for human-robot interaction. IROS (2013)
Jonathan M. Garibaldi, Sergio Guadarrama
Constrained type-2 fuzzy sets. T2FUZZ (2011)
Sergio Guadarrama, Antonio Ruiz-Mayor
Approximate robotic mapping from sonar data by modeling perceptions with antonyms. Inf. Sci. 180 (21) (2010)
Jerry M. Mendel, Lotfi A. Zadeh, Enric Trillas, Ronald R. Yager, Jonathan Lawry, Hani Hagras, Sergio Guadarrama
What Computing with Words Means to Me [Discussion Forum]. IEEE Comput. Intell. Mag. 5 (1) (2010)
Enric Trillas, Sergio Guadarrama
Fuzzy representations need a careful design. Int. J. Gen. Syst. 39 (3) (2010)
David P. Pancho, Sergio Guadarrama
Syntax learning for the description of scenes composed of geometric shapes. FUZZ-IEEE (2010)
Sergio Guadarrama, David P. Pancho
Using Soft Constraints To Learn Semantic Models Of Descriptions Of Shapes CoRR (2010)
Enric Trillas, Claudio Moraga, Sergio Guadarrama
A (naıve) glance at Soft Computing. Int. J. Comput. Intell. Syst. 3 (2) (2010)
Sergio Guadarrama, David P. Pancho
Using Soft Constraints to Interpret Descriptions of Shapes. ICSC (2010)
Sergio Guadarrama, Antonio Ruiz-Mayor
Approximate Robotic Mapping from sonar data by modeling Perceptions with Antonyms CoRR (2010)
José Barranquero Tolosa, Sergio Guadarrama
Collecting fuzzy perceptions from non-expert users. FUZZ-IEEE (2010)
Sergio Guadarrama, David P. Pancho
Using soft constraints to learn semantic models of descriptions of shapes. FUZZ-IEEE (2010)
Itziar García-Honrado, Enric Trillas, Sergio Guadarrama, Eloy Renedo
Evaluating Premises, Partial Consequences and Partial Hypotheses. IFSA/EUSFLAT Conf. (2009)
Sergio Guadarrama
Computing with Actions: the case of driving a car in a simulated car race. IFSA/EUSFLAT Conf. (2009)
Sergio Guadarrama
Using Concept-Analyzer for Comparing Concepts. ICSC (2009)
Óscar Ibáñez, Oscar Cordón, Sergio Damas, Sergio Guadarrama, José Santamaría
A New Approach to Fuzzy Location of Cephalometric Landmarks in Craniofacial Superimposition. IFSA/EUSFLAT Conf. (2009)
Enric Trillas, Itziar García-Honrado, Sergio Guadarrama, Eloy Renedo
Crisp sets as classes of discontinuous fuzzy sets. Int. J. Approx. Reason. 50 (8) (2009)
Sergio Guadarrama, Ruben Vazquez
Tuning a fuzzy racing car by coevolution. GEFS (2008)
Gonzalo Bailador, Sergio Guadarrama
Robust Gesture Recognition using a Prediction-Error-Classification Approach. FUZZ-IEEE (2007)
Gonzalo Bailador, Gracián Triviño, Sergio Guadarrama
Gesture recognition using a neuro-fuzzy predictor. Artificial Intelligence and Soft Computing (2006)
Sergio Guadarrama, Eloy Renedo
A Reflection on the use of And. EUSFLAT Conf. (2005)
Enrique Herrera-Viedma, María J. Martín-Bautista, Sergio Guadarrama, Alejandro Sobrino, José A. Olivas
Soft Computing for Information Retrieval in the WEB. EUSFLAT Conf. (2005)
Enric Trillas, Sergio Guadarrama
What about fuzzy logic's linguistic soundness? Fuzzy Sets Syst. 156 (3) (2005)
Sergio Guadarrama, Susana Muñoz-Hernández, Claudio Vaucheret
Fuzzy Prolog: a new approach using soft constraints propagation. Fuzzy Sets Syst. 144 (1) (2004)
Susana Muñoz-Hernández, Claudio Vaucheret, Sergio Guadarrama
Constructive combination of crisp and fuzzy logic in a Prolog compiler. WLPE (2003)
Claudio Moraga, Enric Trillas, Sergio Guadarrama
Multiple-Valued Logic and Artificial Intelligence Fundamentals of Fuzzy Control Revisited. Artif. Intell. Rev. 20 (3-4) (2003)
Claudio Vaucheret, Sergio Guadarrama, Susana Muñoz-Hernández
Fuzzy Prolog: A Simple General Implementation Using CLP(R). ICLP (2002)
Susana Muñoz-Hernández, Claudio Vaucheret, Sergio Guadarrama
Combining Crisp and Fuzzy Logic in a Prolog Compiler. APPIA-GULP-PRODE (2002)
Claudio Vaucheret, Sergio Guadarrama, Susana Muñoz-Hernández
Fuzzy Prolog: A Simple General Implementation Using CLP(R). LPAR (2002)
Enric Trillas, Eloy Renedo, Sergio Guadarrama
On a New Theory of Fuzzy Sets With Just One Self-Contradiction. FUZZ-IEEE (2001)