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2020 – today
- 2020
[c57]Sahil Garg, Irina Rish, Guillermo A. Cecchi, Palash Goyal, Sarik Ghazarian, Shuyang Gao, Greg Ver Steeg, Aram Galstyan:
Modeling Dialogues with Hashcode Representations: A Nonparametric Approach. AAAI 2020: 3970-3979- [c56]Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf, Jenna Reinen, Irina Rish:
A Story of Two Streams: Reinforcement Learning Models from Human Behavior and Neuropsychiatry. AAMAS 2020: 744-752 - [c55]Carla Agurto
, Mary Pietrowicz, Raquel Norel, Elif K. Eyigöz, Emma Stanislawski, Guillermo A. Cecchi, Cheryl Corcoran:
Analyzing acoustic and prosodic fluctuations in free speech to predict psychosis onset in high-risk youths. EMBC 2020: 5575-5579 - [i15]Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf, Jenna Reinen, Irina Rish:
Unified Models of Human Behavioral Agents in Bandits, Contextual Bandits and RL. CoRR abs/2005.04544 (2020) - [i14]Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi:
Online Learning in Iterated Prisoner's Dilemma to Mimic Human Behavior. CoRR abs/2006.06580 (2020) - [i13]Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi:
Predicting Human Decision Making in Psychological Tasks with Recurrent Neural Networks. CoRR abs/2010.11413 (2020)
2010 – 2019
- 2019
- [c54]Sahil Garg, Aram Galstyan, Greg Ver Steeg, Irina Rish, Guillermo A. Cecchi, Shuyang Gao:
Kernelized Hashcode Representations for Relation Extraction. AAAI 2019: 6431-6440 - [c53]Carla Agurto, Mary Pietrowicz, Elif K. Eyigöz, Elizabeth Mosmiller, Emily Baxi, Jeffrey D. Rothstein, Promit Roy, James Berry, Nicholas J. Maragakis, Omar Ahmad, Guillermo A. Cecchi, Raquel Norel:
Analyzing progression of motor and speech impairment in ALS. EMBC 2019: 6097-6102 - [c52]Sahil Garg, Aram Galstyan, Greg Ver Steeg, Guillermo A. Cecchi:
Nearly-Unsupervised Hashcode Representations for Biomedical Relation Extraction. EMNLP/IJCNLP (1) 2019: 4024-4034 - [c51]Carla Agurto, Raquel Norel, Mary Pietrowicz, Muhammad A. Parvaz, Sivan Kinreich, Keren Bachi, Guillermo A. Cecchi, Rita Z. Goldstein:
Speech Markers for Clinical Assessment of Cocaine Users. ICASSP 2019: 6391-6394 - [c50]Mary Pietrowicz, Carla Agurto, Jonah Casebeer, Mark Hasegawa-Johnson, Karrie Karahalios, Guillermo A. Cecchi:
Dimensional Analysis of Laughter in Female Conversational Speech. ICASSP 2019: 6600-6604 - [c49]Karthik S. Gurumoorthy, Amit Dhurandhar, Guillermo A. Cecchi, Charu C. Aggarwal:
Efficient Data Representation by Selecting Prototypes with Importance Weights. ICDM 2019: 260-269 - [c48]Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi:
Split Q Learning: Reinforcement Learning with Two-Stream Rewards. IJCAI 2019: 6448-6449 - [c47]Mary Pietrowicz, Carla Agurto, Raquel Norel, Elif Eyigöz, Guillermo A. Cecchi, Zarina R. Bilgrami, Cheryl Corcoran:
A New Approach for Automating Analysis of Responses on Verbal Fluency Tests from Subjects At-Risk for Schizophrenia. INTERSPEECH 2019: 3028-3032 - [c46]Jolie McDonnell, William Hord, Jenna Reinen, Pablo Polosecki, Irina Rish, Guillermo A. Cecchi:
Predicting conversion to psychosis in clinical high risk patients using resting-state functional MRI features. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2019: 109532A - [i12]Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf, Jenna Reinen, Irina Rish:
Reinforcement Learning Models of Human Behavior: Reward Processing in Mental Disorders. CoRR abs/1906.11286 (2019) - [i11]Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi:
Split Q Learning: Reinforcement Learning with Two-Stream Rewards. CoRR abs/1906.12350 (2019) - [i10]Sahil Garg, Aram Galstyan, Greg Ver Steeg, Guillermo A. Cecchi:
Nearly-Unsupervised Hashcode Representations for Relation Extraction. CoRR abs/1909.03881 (2019) - 2018
- [j14]Diego Fernández Slezak, Mariano Sigman, Guillermo A. Cecchi:
An entropic barriers diffusion theory of decision-making in multiple alternative tasks. PLoS Comput. Biol. 14(3) (2018) - [c45]Elif Eyigöz, Pablo Polosecki, Adolfo M. García, Katharina Rogg, Juan Rafael Orozco-Arroyave, Sabine Skodda, Eugenia Hesse, Agustín Ibáñez, Guillermo A. Cecchi:
Unsupervised Morphological Segmentation for Detecting Parkinson's Disease. AAAI Workshops 2018: 126-131 - [c44]Elif Eyigöz, Guillermo A. Cecchi, Ravi Tejwani:
Predicting Cognitive Impairments with a Mobile Application. ICAART (2) 2018: 683-692 - [c43]Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi, Irina Rish:
Contextual Bandit with Adaptive Feature Extraction. ICDM Workshops 2018: 937-944 - [c42]Sahil Garg, Guillermo A. Cecchi, Irina Rish, Shuyang Gao, Greg Ver Steeg, Sarik Ghazarian, Palash Goyal, Aram Galstyan:
Dialogue Modeling Via Hash Functions. LaCATODA@IJCAI 2018: 24-36 - [c41]Raquel Norel, Mary Pietrowicz, Carla Agurto, Shay Rishoni, Guillermo A. Cecchi:
Detection of Amyotrophic Lateral Sclerosis (ALS) via Acoustic Analysis. INTERSPEECH 2018: 377-381 - [c40]Carla Agurto, Pat Pataranutaporn, Elif K. Eyigöz, Gustavo Stolovitzky, Guillermo A. Cecchi:
Predictive Linguistic Markers of Suicidality in Poets. ICSC 2018: 282-285 - [i9]Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf, Irina Rish:
Adaptive Representation Selection in Contextual Bandit with Unlabeled History. CoRR abs/1802.00981 (2018) - [i8]German Abrevaya, Aleksandr Y. Aravkin, Guillermo A. Cecchi, Irina Rish, Pablo Polosecki, Peng Zheng, Silvina Ponce Dawson:
Learning Nonlinear Brain Dynamics: van der Pol Meets LSTM. CoRR abs/1805.09874 (2018) - 2017
- [j13]Guillermo A. Cecchi, Viatcheslav Gurev, Steve Heisig, Raquel Norel, Irina Rish, Samantha R. Schrecke:
Computing the structure of language for neuropsychiatric evaluation. IBM J. Res. Dev. 61(2/3): 1 (2017) - [j12]Irina Rish, Guillermo A. Cecchi:
Holographic brain: Distributed versus local activation patterns in fMRI. IBM J. Res. Dev. 61(2/3): 3 (2017) - [j11]Pablo Polosecki, Eduardo Castro, Andrew Wood, John H. Warner, Irina Rish, Guillermo A. Cecchi:
Computational psychiatry: Advancing predictive modeling of neurodegeneration with neuroimaging of Huntington's disease. IBM J. Res. Dev. 61(2/3): 4 (2017) - [c39]Djallel Bouneffouf, Irina Rish, Guillermo A. Cecchi:
Bandit Models of Human Behavior: Reward Processing in Mental Disorders. AGI 2017: 237-248 - [c38]E. Dario Gutiérrez, Guillermo A. Cecchi, Cheryl Corcoran, Philip Corlett:
Using Automated Metaphor Identification to Aid in Detection and Prediction of First-Episode Schizophrenia. EMNLP 2017: 2923-2930 - [c37]Sahil Garg, Irina Rish, Guillermo A. Cecchi, Aurélie C. Lozano:
Neurogenesis-Inspired Dictionary Learning: Online Model Adaption in a Changing World. ICLR (Workshop) 2017 - [c36]Djallel Bouneffouf, Irina Rish, Guillermo A. Cecchi, Raphaël Féraud:
Context Attentive Bandits: Contextual Bandit with Restricted Context. IJCAI 2017: 1468-1475 - [c35]Sahil Garg, Irina Rish, Guillermo A. Cecchi, Aurelie C. Lozano:
Neurogenesis-Inspired Dictionary Learning: Online Model Adaption in a Changing World. IJCAI 2017: 1696-1702 - [c34]Carla Agurto, Raquel Norel, Rachel Ostrand, Gillinder Bedi, Harriet de Wit, Matthew J. Baggott, Matthew G. Kirkpatrick, Margaret Wardle, Guillermo A. Cecchi:
Phonological Markers of Oxytocin and MDMA Ingestion. INTERSPEECH 2017: 3142-3146 - [c33]Mina Gheiratmand, Irina Rish, Guillermo A. Cecchi, Matthew R. G. Brown, Russell Greiner, Pouya Bashivan, Pablo Polosecki, Serdar M. Dursun:
Learning discriminative functional network features of schizophrenia. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2017: 101371A - [i7]Sahil Garg, Irina Rish, Guillermo A. Cecchi, Aurélie C. Lozano:
Neurogenesis-Inspired Dictionary Learning: Online Model Adaption in a Changing World. CoRR abs/1701.06106 (2017) - [i6]Djallel Bouneffouf, Irina Rish, Guillermo A. Cecchi, Raphaël Féraud:
Context Attentive Bandits: Contextual Bandit with Restricted Context. CoRR abs/1705.03821 (2017) - [i5]Djallel Bouneffouf, Irina Rish, Guillermo A. Cecchi:
Bandit Models of Human Behavior: Reward Processing in Mental Disorders. CoRR abs/1706.02897 (2017) - [i4]Karthik S. Gurumoorthy, Amit Dhurandhar, Guillermo A. Cecchi:
ProtoDash: Fast Interpretable Prototype Selection. CoRR abs/1707.01212 (2017) - [i3]Sahil Garg, Aram Galstyan, Irina Rish, Guillermo A. Cecchi, Shuyang Gao:
Efficient Representation for Natural Language Processing via Kernelized Hashcodes. CoRR abs/1711.04044 (2017) - 2016
- [c32]Irina Rish, Pouya Bashivan, Guillermo A. Cecchi, Rita Z. Goldstein:
Evaluating effects of methylphenidate on brain activity in cocaine addiction: a machine-learning approach. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2016: 97880O - [e1]Irina Rish, Georg Langs, Leila Wehbe, Guillermo A. Cecchi, Kai-min Kevin Chang, Brian Murphy:
Machine Learning and Interpretation in Neuroimaging - 4th International Workshop, MLINI 2014, Held at NIPS 2014, Montreal, QC, Canada, December 13, 2014, Revised Selected Papers. Lecture Notes in Computer Science 9444, Springer 2016, ISBN 978-3-319-45173-2 [contents] - [i2]Facundo Carrillo, Natalia Mota, Mauro Copelli, Sidarta Ribeiro, Mariano Sigman, Guillermo A. Cecchi, Diego Fernández Slezak:
Emotional Intensity analysis in Bipolar subjects. CoRR abs/1606.02231 (2016) - [i1]Natalia Bezerra Mota, Sylvia Pinheiro, Mariano Sigman, Diego Fernández Slezak, Guillermo A. Cecchi, Mauro Copelli, Sidarta Ribeiro:
The ontogeny of discourse structure mimics the development of literature. CoRR abs/1612.09268 (2016) - 2015
- [j10]Facundo Carrillo, Guillermo A. Cecchi, Mariano Sigman, Diego Fernández Slezak:
Fast Distributed Dynamics of Semantic Networks via Social Media. Comput. Intell. Neurosci. 2015: 712835:1-712835:9 (2015) - 2014
- [j9]Pablo Meyer, Guillermo A. Cecchi, Gustavo Stolovitzky:
Spatial localization of the first and last enzymes effectively connects active metabolic pathways in bacteria. BMC Syst. Biol. 8: 131 (2014) - [c31]Facundo Carrillo, Natalia Mota, Mauro Copelli, Sidarta Ribeiro, Mariano Sigman, Guillermo A. Cecchi, Diego Fernández Slezak:
Automated Speech Analysis for Psychosis Evaluation. MLINI@NIPS 2014: 31-39 - 2013
- [j8]Alex T. Baria, A. Mansour, Lejian Huang, Marwan N. Baliki, Guillermo A. Cecchi, M.-Marsel Mesulam, A. Vania Apkarian:
Linking human brain local activity fluctuations to structural and functional network architectures. NeuroImage 73: 144-155 (2013) - [c30]A. Ravishankar Rao, Guillermo A. Cecchi:
Multi-sensory integration using sparse spatio-temporal encoding. IJCNN 2013: 1-8 - [c29]A. Ravishankar Rao, Guillermo A. Cecchi:
Capacity limits in oscillatory networks: Implications for sensory coding. IJCNN 2013: 1-8 - 2012
- [j7]Guillermo A. Cecchi, Lejian Huang, Javeria Ali Hashmi, Marwan N. Baliki, María V. Centeno, Irina Rish, A. Vania Apkarian:
Predictive Dynamics of Human Pain Perception. PLoS Comput. Biol. 8(10) (2012) - [c28]Irina Rish, Guillermo A. Cecchi, Kyle Heuton, Marwan N. Baliki, A. Vania Apkarian:
Sparse regression analysis of task-relevant information distribution in the brain. Medical Imaging: Image Processing 2012: 831412 - [c27]Jean Honorio, Dimitris Samaras, Irina Rish, Guillermo A. Cecchi:
Variable Selection for Gaussian Graphical Models. AISTATS 2012: 538-546 - 2011
- [j6]Rahul Garg, Guillermo A. Cecchi, A. Ravishankar Rao:
Full-brain auto-regressive modeling (FARM) using fMRI. NeuroImage 58(2): 416-441 (2011) - [c26]A. Ravishankar Rao, Guillermo A. Cecchi:
The effects of feedback and lateral connections on perceptual processing: A study using oscillatory networks. IJCNN 2011: 1177-1184 - [c25]A. Ravishankar Rao, Rahul Garg, Guillermo A. Cecchi:
A spatio-temporal support vector machine searchlight for fMRI analysis. ISBI 2011: 1023-1026 - [c24]Rahul Garg, Guillermo A. Cecchi, A. Ravishankar Rao:
Brain as a self-predictor: Sparse full-brain auto-regressive modeling in fMRI. ISBI 2011: 1581-1584 - [c23]A. Ravishankar Rao, Rajesh Bordawekar, Guillermo A. Cecchi:
Fast computation of functional networks from fMRI activity: a multi-platform comparison. Medical Imaging: Image Processing 2011: 79624L - 2010
- [j5]A. Ravishankar Rao, Guillermo A. Cecchi:
An objective function utilizing complex sparsity for efficient segmentation in multi-layer oscillatory networks. Int. J. Intell. Comput. Cybern. 3(2): 173-206 (2010) - [c22]Irina Rish, Guillermo A. Cecchi, Marwan N. Baliki, A. Vania Apkarian:
Sparse Regression Models of Pain Perception. Brain Informatics 2010: 212-223 - [c21]A. Ravishankar Rao, Guillermo A. Cecchi:
Investigating the variation of orientation tuning in a computational model of the visual cortex. IJCNN 2010: 1-8 - [c20]Iván Raskovsky, Diego Fernández Slezak, Carlos Diuk, Guillermo A. Cecchi:
The emergence of the modern concept of introspection: a quantitative linguistic analysis. NAACL (Young Investigators Workshop) 2010: 68-75
2000 – 2009
- 2009
- [j4]Melissa K. Carroll, Guillermo A. Cecchi, Irina Rish, Rahul Garg, A. Ravishankar Rao:
Prediction and interpretation of distributed neural activity with sparse models. NeuroImage 44(1): 112-122 (2009) - [c19]A. Ravishankar Rao, Guillermo A. Cecchi:
Self-Organizing Map Simulations Confirm Similarity of Spatial Correlation Structure in Natural Images and Cortical Representations. ICANN (1) 2009: 587-597 - [c18]A. Ravishankar Rao, Guillermo A. Cecchi:
An optimization approach to understanding structure-function relationships in the visual cortex. IJCNN 2009: 2603-2610 - [c17]Guillermo A. Cecchi, Rahul Garg, A. Ravishankar Rao:
A Cluster Overlap Measure for Comparison of Activations in fMRI Studies. MICCAI (1) 2009: 1018-1025 - [c16]Guillermo A. Cecchi, Irina Rish, Benjamin Thyreau, Bertrand Thirion, Marion Plaze, Marie-Laure Paillère-Martinot, Catherine Martelli, Jean-Luc Martinot, Jean-Baptiste Poline:
Discriminative Network Models of Schizophrenia. NIPS 2009: 252-260 - 2008
- [j3]Youping Xiao, Ravi Rao, Guillermo A. Cecchi, Ehud Kaplan:
Improved mapping of information distribution across the cortical surface with the support vector machine. Neural Networks 21(2-3): 341-348 (2008) - [j2]A. Ravishankar Rao, Guillermo A. Cecchi, Charles C. Peck, James Kozloski:
Unsupervised Segmentation With Dynamical Units. IEEE Trans. Neural Networks 19(1): 168-182 (2008) - [c15]Guillermo A. Cecchi, A. Ravishankar Rao, Youping Xiao, Ehud Kaplan:
Statistics of natural scenes and the cortical representation of color. Human Vision and Electronic Imaging 2008: 680607 - [c14]A. Ravishankar Rao, Guillermo A. Cecchi:
Spatio-temporal Dynamics during Perceptual Processing in an Oscillatory Neural Network. ICANN (2) 2008: 685-694 - [c13]Irina Rish, Genady Grabarnik, Guillermo A. Cecchi, Francisco Pereira, Geoffrey J. Gordon:
Closed-form supervised dimensionality reduction with generalized linear models. ICML 2008: 832-839 - [c12]A. Ravishankar Rao, Guillermo A. Cecchi, Charles C. Peck, James Kozloski:
Efficient segmentation in multi-layer oscillatory networks. IJCNN 2008: 2966-2973 - [c11]Guillermo A. Cecchi, Rahul Garg, A. Ravishankar Rao:
Inferring brain dynamics using granger causality on fMRI data. ISBI 2008: 604-607 - 2007
- [c10]Charles C. Peck, James Kozloski, Guillermo A. Cecchi, Sean L. Hill, Felix Schürmann, Henry Markram, Ravi Rao:
Network-Related Challenges and Insights from Neuroscience. BIOWIRE 2007: 67-78 - [c9]Youping Xiao, Ravi Rao, Guillermo A. Cecchi, Ehud Kaplan:
Cortical representation of information about visual attributes: one network or many? IJCNN 2007: 1785-1789 - [c8]James Kozloski, Guillermo A. Cecchi, Charles C. Peck, A. Ravishankar Rao:
Topographic Infomax in a Neural Multigrid. ISNN (2) 2007: 500-509 - [c7]A. Ravishankar Rao, Guillermo A. Cecchi, Charles C. Peck, James Kozloski:
Emergence of Topographic Cortical Maps in a Parameterless Local Competition Network. ISNN (2) 2007: 552-561 - 2006
- [c6]Yuan Liu, Guillermo A. Cecchi, A. Ravishankar Rao, James Kozloski, Charles C. Peck:
Inference and segmentation in cortical processing. Human Vision and Electronic Imaging 2006: 60570Y - [c5]A. Ravishankar Rao, Guillermo A. Cecchi, Charles C. Peck, James Kozloski:
An optimization approach to achieve unsupervised segmentation and binding in a dynamical network. IJCNN 2006: 4159-4166 - 2005
- [c4]A. Ravishankar Rao, Guillermo A. Cecchi, Charles C. Peck, James Kozloski:
A model of the formation of a self-organized cortical representation of color. Human Vision and Electronic Imaging 2005: 17-26 - [c3]A. Ravishankar Rao, Guillermo A. Cecchi, Charles C. Peck, James Kozloski:
Evaluation of the Effect of Input Stimuli on the Quality of Orientation Maps Produced Through Self Organization. SCIA 2005: 810-820 - 2003
- [c2]Charles C. Peck, James Kozloski, A. Ravishankar Rao, Guillermo A. Cecchi:
Simulation Infrastructure for Modeling Large Scale Neural Systems. International Conference on Computational Science 2003: 1127-1136 - 2001
- [j1]Guillermo A. Cecchi, Leopoldo T. Petreanu, Arturo Alvarez-Buylla, Marcelo O. Magnasco:
Unsupervised Learning and Adaptation in a Model of Adult Neurogenesis. J. Comput. Neurosci. 11(2): 175-182 (2001)
1990 – 1999
- 1996
- [c1]Peter D. Kaplan, Guillermo A. Cecchi, Albert Libchaber:
DNA based molecular computation: Template-template interactions in PCR. DNA Based Computers 1996: 97-104
Coauthor Index
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