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ORCIDSergio Guadarrama
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- affiliation: University of California, Berkeley, USA
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2020 – today
- 2022
[c43]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: 1447-1454- [c42]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: 65-70 - [c41]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 - [i18]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 abs/2205.15241 (2022) - [i17]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 abs/2207.13224 (2022) - 2021
- [c40]Kuang-Huei Lee, Anurag Arnab, Sergio Guadarrama, John F. Canny, Ian Fischer:
Compressive Visual Representations. NeurIPS 2021: 19538-19552 - [i16]Kuang-Huei Lee, Anurag Arnab, Sergio Guadarrama, John F. Canny, Ian Fischer:
Compressive Visual Representations. CoRR abs/2109.12909 (2021) - 2020
- [c39]Stephanie C. Y. Chan, Samuel Fishman, Anoop Korattikara, John F. Canny, Sergio Guadarrama:
Measuring the Reliability of Reinforcement Learning Algorithms. ICLR 2020 - [c38]Kuang-Huei Lee, Ian Fischer, Anthony Z. Liu, Yijie Guo, Honglak Lee, John F. Canny, Sergio Guadarrama:
Predictive Information Accelerates Learning in RL. NeurIPS 2020 - [i15]Kuang-Huei Lee, Ian Fischer, Anthony Z. Liu, Yijie Guo, Honglak Lee, John F. Canny, Sergio Guadarrama:
Predictive Information Accelerates Learning in RL. CoRR abs/2007.12401 (2020)
2010 – 2019
- 2019
- [j13]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): 1694-1706 (2019) - [c37]Justin Fu, Anoop Korattikara, Sergey Levine, Sergio Guadarrama:
From Language to Goals: Inverse Reinforcement Learning for Vision-Based Instruction Following. ICLR (Poster) 2019 - [i14]Justin Fu, Anoop Korattikara, Sergey Levine, Sergio Guadarrama:
From Language to Goals: Inverse Reinforcement Learning for Vision-Based Instruction Following. CoRR abs/1902.07742 (2019) - [i13]Stephanie C. Y. Chan, Sam Fishman, John F. Canny, Anoop Korattikara, Sergio Guadarrama:
Measuring the Reliability of Reinforcement Learning Algorithms. CoRR abs/1912.05663 (2019) - 2018
- [c36]Carl Vondrick, Abhinav Shrivastava, Alireza Fathi, Sergio Guadarrama, Kevin Murphy:
Tracking Emerges by Colorizing Videos. ECCV (13) 2018: 402-419 - [i12]Carl Vondrick, Abhinav Shrivastava, Alireza Fathi, Sergio Guadarrama, Kevin Murphy:
Tracking Emerges by Colorizing Videos. CoRR abs/1806.09594 (2018) - 2017
- [j12]Carmen Campomanes-Álvarez, 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: 100-119 (2017) - [j11]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): 677-691 (2017) - [c35]Sergio Guadarrama, Ryan Dahl, David Bieber, Jonathon Shlens, Mohammad Norouzi, Kevin Murphy:
PixColor: Pixel Recursive Colorization. BMVC 2017 - [c34]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 - [c33]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: 3296-3297 - [c32]Siqi Liu, Zhenhai Zhu, Ning Ye, Sergio Guadarrama, Kevin Murphy:
Improved Image Captioning via Policy Gradient optimization of SPIDEr. ICCV 2017: 873-881 - [i11]Alireza Fathi, Zbigniew Wojna, Vivek Rathod, Peng Wang, Hyun Oh Song, Sergio Guadarrama, Kevin P. Murphy:
Semantic Instance Segmentation via Deep Metric Learning. CoRR abs/1703.10277 (2017) - [i10]Sergio Guadarrama, Ryan Dahl, David Bieber, Mohammad Norouzi, Jonathon Shlens, Kevin Murphy:
PixColor: Pixel Recursive Colorization. CoRR abs/1705.07208 (2017) - [i9]Zbigniew Wojna, Vittorio Ferrari, Sergio Guadarrama, Nathan Silberman, Liang-Chieh Chen, Alireza Fathi, Jasper R. R. Uijlings:
The Devil is in the Decoder. CoRR abs/1707.05847 (2017) - 2016
- [j10]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): 265-280 (2016) - [j9]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: 142:1-142:31 (2016) - [c31]Judy Hoffman, Saurabh Gupta, Jian Leong, Sergio Guadarrama, Trevor Darrell:
Cross-modal adaptation for RGB-D detection. ICRA 2016: 5032-5039 - [i8]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 abs/1611.10012 (2016) - [i7]Siqi Liu, Zhenhai Zhu, Ning Ye, Sergio Guadarrama, Kevin Murphy:
Optimization of image description metrics using policy gradient methods. CoRR abs/1612.00370 (2016) - 2015
- [c30]Johannes Lederer, Sergio Guadarrama:
Compute Less to Get More: Using ORC to Improve Sparse Filtering. AAAI 2015: 3797-3803 - [c29]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: 2625-2634 - [c28]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: 1233-1241 - [p1]Sergio Guadarrama, Eloy Renedo, Enric Trillas:
A First Inquiry on Semantic-Based Models of And. Accuracy and Fuzziness 2015: 331-350 - 2014
- [c27]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: 1218-1227 - [c26]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: 675-678 - [c25]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: 3536-3544 - [c24]Sergio Guadarrama, Erik Rodner, Kate Saenko, Ning Zhang, Ryan Farrell, Jeff Donahue, Trevor Darrell:
Open-vocabulary Object Retrieval. Robotics: Science and Systems 2014 - [i6]Judy Hoffman, Sergio Guadarrama, Eric Tzeng, Jeff Donahue, Ross B. Girshick, Trevor Darrell, Kate Saenko:
LSDA: Large Scale Detection Through Adaptation. CoRR abs/1407.5035 (2014) - [i5]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 abs/1408.5093 (2014) - [i4]Johannes Lederer, Sergio Guadarrama:
Compute Less to Get More: Using ORC to Improve Sparse Filtering. CoRR abs/1409.4689 (2014) - [i3]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 abs/1411.4389 (2014) - 2013
- [c23]Niveda Krishnamoorthy, Girish Malkarnenkar, Raymond J. Mooney, Kate Saenko, Sergio Guadarrama:
Generating Natural-Language Video Descriptions Using Text-Mined Knowledge. AAAI 2013: 541-547 - [c22]Sergio Guadarrama:
Around the BISC Roundtable. On Fuzziness (1) 2013: 229-234 - [c21]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: 2712-2719 - [c20]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: 1640-1647 - 2011
- [c19]Jonathan M. Garibaldi, Sergio Guadarrama:
Constrained type-2 fuzzy sets. T2FUZZ 2011: 66-73 - 2010
- [j8]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): 20-26 (2010) - [j7]Enric Trillas, Claudio Moraga, Sergio Guadarrama:
A (naıve) glance at Soft Computing. Int. J. Comput. Intell. Syst. 3(2): 197-201 (2010) - [j6]Enric Trillas, Sergio Guadarrama:
Fuzzy representations need a careful design. Int. J. Gen. Syst. 39(3): 329-346 (2010) - [j5]Sergio Guadarrama, Antonio Ruiz-Mayor:
Approximate robotic mapping from sonar data by modeling perceptions with antonyms. Inf. Sci. 180(21): 4164-4188 (2010) - [c18]Sergio Guadarrama, David P. Pancho:
Using soft constraints to learn semantic models of descriptions of shapes. FUZZ-IEEE 2010: 1-8 - [c17]David P. Pancho, Sergio Guadarrama:
Syntax learning for the description of scenes composed of geometric shapes. FUZZ-IEEE 2010: 1-7 - [c16]José Barranquero Tolosa, Sergio Guadarrama:
Collecting fuzzy perceptions from non-expert users. FUZZ-IEEE 2010: 1-8 - [c15]Sergio Guadarrama, David P. Pancho:
Using Soft Constraints to Interpret Descriptions of Shapes. ICSC 2010: 341-348 - [i2]Sergio Guadarrama, David P. Pancho:
Using Soft Constraints To Learn Semantic Models Of Descriptions Of Shapes. CoRR abs/1005.5253 (2010) - [i1]Sergio Guadarrama, Antonio Ruiz-Mayor:
Approximate Robotic Mapping from sonar data by modeling Perceptions with Antonyms. CoRR abs/1006.5827 (2010)
2000 – 2009
- 2009
- [j4]Enric Trillas, Itziar García-Honrado, Sergio Guadarrama, Eloy Renedo:
Crisp sets as classes of discontinuous fuzzy sets. Int. J. Approx. Reason. 50(8): 1298-1305 (2009) - [c14]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: 195-200 - [c13]Itziar García-Honrado, Enric Trillas, Sergio Guadarrama, Eloy Renedo:
Evaluating Premises, Partial Consequences and Partial Hypotheses. IFSA/EUSFLAT Conf. 2009: 897-902 - [c12]Sergio Guadarrama:
Computing with Actions: the case of driving a car in a simulated car race. IFSA/EUSFLAT Conf. 2009: 1410-1415 - [c11]Sergio Guadarrama:
Using Concept-Analyzer for Comparing Concepts. ICSC 2009: 563-564 - 2008
- [c10]Sergio Guadarrama, Ruben Vazquez:
Tuning a fuzzy racing car by coevolution. GEFS 2008: 59-64 - 2007
- [b1]Sergio Guadarrama:
A contribution to computing with words/perceptions = Contribución al estudio de la computación con palabras/percepciones. Technical University of Madrid, Spain, 2007 - [c9]Gonzalo Bailador, Sergio Guadarrama:
Robust Gesture Recognition using a Prediction-Error-Classification Approach. FUZZ-IEEE 2007: 1-7 - 2006
- [c8]Gonzalo Bailador, Gracián Triviño, Sergio Guadarrama:
Gesture recognition using a neuro-fuzzy predictor. Artificial Intelligence and Soft Computing 2006: 268-272 - 2005
- [j3]Enric Trillas, Sergio Guadarrama:
What about fuzzy logic's linguistic soundness? Fuzzy Sets Syst. 156(3): 334-340 (2005) - [c7]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: 4-6 - [c6]Sergio Guadarrama, Eloy Renedo:
A Reflection on the use of And. EUSFLAT Conf. 2005: 571-575 - 2004
- [j2]Sergio Guadarrama, Susana Muñoz-Hernández, Claudio Vaucheret:
Fuzzy Prolog: a new approach using soft constraints propagation. Fuzzy Sets Syst. 144(1): 127-150 (2004) - 2003
- [j1]Claudio Moraga, Enric Trillas, Sergio Guadarrama:
Multiple-Valued Logic and Artificial Intelligence Fundamentals of Fuzzy Control Revisited. Artif. Intell. Rev. 20(3-4): 169-197 (2003) - [c5]Susana Muñoz-Hernández, Claudio Vaucheret, Sergio Guadarrama:
Constructive combination of crisp and fuzzy logic in a Prolog compiler. WLPE 2003: 75-89 - 2002
- [c4]Susana Muñoz-Hernández, Claudio Vaucheret, Sergio Guadarrama:
Combining Crisp and Fuzzy Logic in a Prolog Compiler. APPIA-GULP-PRODE 2002: 23-38 - [c3]Claudio Vaucheret, Sergio Guadarrama, Susana Muñoz-Hernández:
Fuzzy Prolog: A Simple General Implementation Using CLP(R). ICLP 2002: 469 - [c2]Claudio Vaucheret, Sergio Guadarrama, Susana Muñoz-Hernández:
Fuzzy Prolog: A Simple General Implementation Using CLP(R). LPAR 2002: 450-464 - 2001
- [c1]Enric Trillas, Eloy Renedo, Sergio Guadarrama:
On a New Theory of Fuzzy Sets With Just One Self-Contradiction. FUZZ-IEEE 2001: 658-661
Coauthor Index
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