Guillermo A. Cecchi

ORCID

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 74

Top Venues

CoRR

IJCAI

Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging

IBM J. Res. Dev.

Publications

Baihan Lin, Djallel Bouneffouf, Yulia Landa, Rachel Jespersen, Cheryl Corcoran, Guillermo A. Cecchi
COMPASS: Computational Mapping of Patient-Therapist Alliance Strategies with Language Modeling. CoRR (2024)
Sahil Garg, Anderson Schneider, Anant Raj, Kashif Rasul, Yuriy Nevmyvaka, Sneihil Gopal, Amit Dhurandhar, Guillermo A. Cecchi, Irina Rish
Deep Generative Sampling in the Dual Divergence Space: A Data-efficient & Interpretative Approach for Generative AI. CoRR (2024)
Germán Abrevaya, Mahta Ramezanian-Panahi, Jean-Christophe Gagnon-Audet, Pablo Polosecki, Irina Rish, Silvina Ponce Dawson, Guillermo A. Cecchi, Guillaume Dumas
Effective Latent Differential Equation Models via Attention and Multiple Shooting. Trans. Mach. Learn. Res. 2024 (2024)
Carla Agurto, Guillermo A. Cecchi, Bo Wen, Ernest Fraenkel, James D. Berry, Indu Navar, Raquel Norel
Remote Inference of Cognitive Scores in ALS Patients Using a Picture Description. ICDH (2023)
Sara E. Berger, Carla Agurto, Guillermo A. Cecchi, Elif Eyigöz, Brad Hershey, Kristen Lechleiter, Dat Huynh, Matt McDonald, Jeffrey L. Rogers
The Impact of COVID-19 on Chronic Pain: Multidimensional Clustering Reveals Deep Insights into Spinal Cord Stimulation Patients. ICDH (2023)
Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf
Psychotherapy AI Companion with Reinforcement Learning Recommendations and Interpretable Policy Dynamics. CoRR (2023)
Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi, Kush R. Varshney
Towards Healthy AI: Large Language Models Need Therapists Too. CoRR (2023)
Sara E. Berger, Carla Agurto, Guillermo A. Cecchi, Elif Eyigöz, Brad Hershey, Kristen Lechleiter, NAVITAS / ENVISION Studies Physician Author Group, Dat Huynh, Matt McDonald, Jeffrey L. Rogers
The Impact of COVID-19 on Chronic Pain: Multidimensional Clustering Reveals Deep Insights into Spinal Cord Stimulation Patients. CoRR (2023)
Carla Agurto, Guillermo A. Cecchi, Bo Wen, Ernest Fraenkel, James D. Berry, Indu Navar, Raquel Norel
Remote Inference of Cognitive Scores in ALS Patients Using a Picture Description. CoRR (2023)
Sahil Garg, Mina Dalirrooyfard, Anderson Schneider, Yeshaya Adler, Yuriy Nevmyvaka, Yu Chen, Fengpei Li, Guillermo A. Cecchi
Information theoretic clustering via divergence maximization among clusters. UAI (2023)
Baihan Lin, Stefan Zecevic, Djallel Bouneffouf, Guillermo A. Cecchi
TherapyView: Visualizing Therapy Sessions with Temporal Topic Modeling and AI-Generated Arts. CoRR (2023)
Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf
Psychotherapy AI Companion with Reinforcement Learning Recommendations and Interpretable Policy Dynamics. WWW (Companion Volume) (2023)
Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf
Helping Therapists with NLP-Annotated Recommendation 17-24. IUI Workshops (2023)
German Abrevaya, Mahta Ramezanian-Panahi, Jean-Christophe Gagnon-Audet, Irina Rish, Pablo Polosecki, Silvina Ponce Dawson, Guillermo A. Cecchi, Guillaume Dumas
GOKU-UI: Ubiquitous Inference through Attention and Multiple Shooting for Continuous-time Generative Models. CoRR (2023)
Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf
SupervisorBot: NLP-Annotated Real-Time Recommendations of Psychotherapy Treatment Strategies with Deep Reinforcement Learning. IJCAI (2023)
Divya Ramamoorthy, Kristen Severson, Soumya Ghosh, Karen Sachs, Emily G. Baxi, Alyssa N. Coyne, Elizabeth Mosmiller, Lindsey Hayes, Aianna Cerezo, Omar Ahmad, Promit Roy, Steven Zeiler, John W. Krakauer, Jonathan Li, Aneesh Donde, Nhan Huynh, Miriam Adam, Brook T. Wassie, Alexander LeNail, Natasha Leanna Patel-Murray, Yogindra Raghav, Velina Kozareva, Stanislav Tsitkov, Tobias Ehrenberger, Julia A. Kaye, Leandro Lima, Stacia K. Wyman, Edward Vertudes, Naufa Amirani, Krishna Raja, Reuben Thomas, Ryan G. Lim, Ricardo Miramontes, Jie Wu, Vineet Vaibhav, Andrea Matlock, Vidya Venkatraman, Ronald Holewenski, Niveda Sundararaman, Rakhi Pandey, Danica-Mae Manalo, Aaron Frank, Loren Ornelas, Lindsey Panther, Emilda Gomez, Erick Galvez, Daniel Pérez, Imara Meepe, Susan Lei, Louis Pinedo, Chunyan Liu, Ruby Moran, Dhruv Sareen, Barry Landin, Carla Agurto, Guillermo A. Cecchi, Raquel Norel, Sara Thrower, Sarah Luppino, Alanna Farrar, Lindsay Pothier, Hong Yu, Ervin Sinani, Prasha Vigneswaran, Alexander V. Sherman, S. Michelle Farr, Berhan Mandefro, Hannah Trost, Maria G. Banuelos, Veronica Garcia, Michael Workman, Richie Ho, Robert Baloh, Jennifer Roggenbuck, Matthew B. Harms, Carolyn Prina, Sarah Heintzman, Stephen Kolb, Jennifer Stocksdale, Keona Wang, Todd Morgan, Daragh Heitzman, Arish Jamil, Jennifer Jockel-Balsarotti, Elizabeth Karanja, Jesse Markway, Molly McCallum, Tim Miller, Ben Joslin, Deniz Alibazoglu, Senda Ajroud-Driss, Jay C. Beavers, Mary Bellard, Elizabeth Bruce, Nicholas J. Maragakis, Merit E. Cudkowicz, James D. Berry, Terri Thompson, Steven Finkbeiner, Leslie M. Thompson, Jennifer E. Van Eyk, Clive N. Svendsen, Jeffrey D. Rothstein, Jonathan D. Glass, Christina N. Fournier, Alexander Sherman, Christian Lunetta, David Walk, Ghazala Hayat, James Wymer, Kelly Gwathmey, Nicholas Olney, Terry Heiman-Patterson, Ximena Arcila-Londono, Kenneth Faulconer, Ervin Sanani, Alex Berger, Julia Mirochnick, Todd M. Herrington, Kenney Ng, Ernest Fraenkel
Identifying patterns in amyotrophic lateral sclerosis progression from sparse longitudinal data. Nat. Comput. Sci. 2 (9) (2022)
Jenna M. Reinen, Carla Agurto, Guillermo A. Cecchi, Jeffrey L. Rogers, NAVITAS / ENVISION Studies Physician Author Group, Boston Scientific Research Scientists Consortium
Definition and clinical validation of Pain Patient States from high-dimensional mobile data: application to a chronic pain cohort. ICDH (2022)
Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf
Deep Annotation of Therapeutic Working Alliance in Psychotherapy. CoRR (2022)
Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf
Working Alliance Transformer for Psychotherapy Dialogue Classification. CoRR (2022)
Aria Anvar, James Berry, Ernest Fraenkel, Indu Navar, Guillermo A. Cecchi, Raquel Norel
ALS community pressing issues: lessons from a survey. AMIA (2022)
Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi
Predicting Human Decision Making with LSTM. IJCNN (2022)
Shreyas Fadnavis, Amit Dhurandhar, Raquel Norel, Jenna M. Reinen, Carla Agurto, Erica Secchettin, Vittorio Schweiger, Giovanni Perini, Guillermo A. Cecchi
PainPoints: A Framework for Language-based Detection of Chronic Pain and Expert-Collaborative Text-Summarization. CoRR (2022)
Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi, Ravi Tejwani
Neural Topic Modeling of Psychotherapy Sessions. CoRR (2022)
Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi
Online Learning in Iterated Prisoner's Dilemma to Mimic Human Behavior. PRICAI (3) (2022)
German Abrevaya, Guillaume Dumas, Aleksandr Y. Aravkin, Peng Zheng, Jean-Christophe Gagnon-Audet, James R. Kozloski, Pablo Polosecki, Guillaume Lajoie, David D. Cox, Silvina Ponce Dawson, Guillermo A. Cecchi, Irina Rish
Learning Brain Dynamics With Coupled Low-Dimensional Nonlinear Oscillators and Deep Recurrent Networks. Neural Comput. 33 (8) (2021)
Carla Agurto, Guillermo A. Cecchi, Mary Pietrowicz, Divya Ramamoorthy, Lorin Wilde, Elizabeth Mosmiller, Emily Baxi, Nicholas J. Maragakis, James Berry, Ernest Fraenkel, Jeffrey D. Rothstein, Raquel Norel
Evaluating the utility of a picture description task for monitoring progression of ALS at home. AMIA (2020)
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)
Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf, Jenna M. Reinen, Irina Rish
A Story of Two Streams: Reinforcement Learning Models from Human Behavior and Neuropsychiatry. AAMAS (2020)
Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi
Online Learning in Iterated Prisoner's Dilemma to Mimic Human Behavior. CoRR (2020)
Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf, Jenna M. Reinen, Irina Rish
Models of Human Behavioral Agents in Bandits, Contextual Bandits and RL. HBAI@IJCAI (2020)
Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi
Predicting Human Decision Making in Psychological Tasks with Recurrent Neural Networks. CoRR (2020)
Elif Eyigöz, Mary Pietrowicz, Carla Agurto, Juan Rafael Orozco-Arroyave, Adolfo M. García, Sabine Skodda, Jan Rusz, Elmar Nöth, Guillermo A. Cecchi
Dependency Analysis of Spoken Language for Assessment of Neurological Disorders. RaPID@LREC (2020)
Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf, Jenna M. Reinen, Irina Rish
Unified Models of Human Behavioral Agents in Bandits, Contextual Bandits and RL. CoRR (2020)
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)
Sundar Saranathan, Piyush Madan, Carla Agurto, Elif Eyigöz, Lauren Mitchell, Shilpa Mahatma, Guillermo A. Cecchi
Cloud-Native Language-Based Analysis for Neurodegenerative Assessment. AMIA (2020)
Jolie McDonnell, William Hord, Jenna M. 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)
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)
Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi
Split Q Learning: Reinforcement Learning with Two-Stream Rewards. CoRR (2019)
Sahil Garg, Aram Galstyan, Greg Ver Steeg, Irina Rish, Guillermo A. Cecchi, Shuyang Gao
Kernelized Hashcode Representations for Relation Extraction. AAAI (2019)
Sahil Garg, Aram Galstyan, Greg Ver Steeg, Guillermo A. Cecchi
Nearly-Unsupervised Hashcode Representations for Biomedical Relation Extraction. EMNLP/IJCNLP (1) (2019)
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)
Karthik S. Gurumoorthy, Amit Dhurandhar, Guillermo A. Cecchi, Charu C. Aggarwal
Efficient Data Representation by Selecting Prototypes with Importance Weights. ICDM (2019)
Mary Pietrowicz, Carla Agurto, Jonah Casebeer, Mark Hasegawa-Johnson, Karrie Karahalios, Guillermo A. Cecchi
Dimensional Analysis of Laughter in Female Conversational Speech. ICASSP (2019)
Sahil Garg, Aram Galstyan, Greg Ver Steeg, Guillermo A. Cecchi
Nearly-Unsupervised Hashcode Representations for Relation Extraction. CoRR (2019)
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)
Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi
Split Q Learning: Reinforcement Learning with Two-Stream Rewards. IJCAI (2019)
Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf, Jenna M. Reinen, Irina Rish
Reinforcement Learning Models of Human Behavior: Reward Processing in Mental Disorders. CoRR (2019)
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)
Elif Eyigöz, Guillermo A. Cecchi, Ravi Tejwani
Predicting Cognitive Impairments with a Mobile Application. ICAART (2) (2018)
Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi, Irina Rish
Contextual Bandit with Adaptive Feature Extraction. ICDM Workshops (2018)
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 (2018)
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)
Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf, Irina Rish
Adaptive Representation Selection in Contextual Bandit with Unlabeled History. CoRR (2018)
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)
Raquel Norel, Mary Pietrowicz, Carla Agurto, Shay Rishoni, Guillermo A. Cecchi
Detection of Amyotrophic Lateral Sclerosis (ALS) via Acoustic Analysis. INTERSPEECH (2018)
Carla Agurto, Pat Pataranutaporn, Elif K. Eyigöz, Gustavo Stolovitzky, Guillermo A. Cecchi
Predictive Linguistic Markers of Suicidality in Poets. ICSC (2018)
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) (2017)
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) (2017)
Sahil Garg, Irina Rish, Guillermo A. Cecchi, Aurelie C. Lozano
Neurogenesis-Inspired Dictionary Learning: Online Model Adaption in a Changing World. IJCAI (2017)
Djallel Bouneffouf, Irina Rish, Guillermo A. Cecchi
Bandit Models of Human Behavior: Reward Processing in Mental Disorders. CoRR (2017)
E. Dario Gutiérrez, Guillermo A. Cecchi, Cheryl Corcoran, Philip R. Corlett
Using Automated Metaphor Identification to Aid in Detection and Prediction of First-Episode Schizophrenia. EMNLP (2017)
Djallel Bouneffouf, Irina Rish, Guillermo A. Cecchi, Raphaël Féraud
Context Attentive Bandits: Contextual Bandit with Restricted Context. CoRR (2017)
Djallel Bouneffouf, Irina Rish, Guillermo A. Cecchi, Raphaël Féraud
Context Attentive Bandits: Contextual Bandit with Restricted Context. IJCAI (2017)
Sahil Garg, Irina Rish, Guillermo A. Cecchi, Aurélie C. Lozano
Neurogenesis-Inspired Dictionary Learning: Online Model Adaption in a Changing World. CoRR (2017)
Sahil Garg, Irina Rish, Guillermo A. Cecchi, Aurélie C. Lozano
Neurogenesis-Inspired Dictionary Learning: Online Model Adaption in a Changing World. ICLR (Workshop) (2017)
Djallel Bouneffouf, Irina Rish, Guillermo A. Cecchi
Bandit Models of Human Behavior: Reward Processing in Mental Disorders. AGI (2017)
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)
Karthik S. Gurumoorthy, Amit Dhurandhar, Guillermo A. Cecchi
ProtoDash: Fast Interpretable Prototype Selection. CoRR (2017)
Irina Rish, Guillermo A. Cecchi
Holographic brain: Distributed versus local activation patterns in fMRI. IBM J. Res. Dev. 61 (2/3) (2017)
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)
Sahil Garg, Aram Galstyan, Irina Rish, Guillermo A. Cecchi, Shuyang Gao
Efficient Representation for Natural Language Processing via Kernelized Hashcodes. CoRR (2017)
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)
Facundo Carrillo, Natalia Mota, Mauro Copelli, Sidarta Ribeiro, Mariano Sigman, Guillermo A. Cecchi, Diego Fernández Slezak
Emotional Intensity analysis in Bipolar subjects. CoRR (2016)
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 (2016)
Facundo Carrillo, Guillermo A. Cecchi, Mariano Sigman, Diego Fernández Slezak
Fast Distributed Dynamics of Semantic Networks via Social Media. Comput. Intell. Neurosci. 2015 (2015)
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)
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 (2014)
Alex T. Baria, A. Mansour, Lejian Huang, Marwan N. Baliki, Guillermo A. Cecchi, M.-Marsel Mesulam, Apkar Vania Apkarian
Linking human brain local activity fluctuations to structural and functional network architectures. NeuroImage 73 (2013)
A. Ravishankar Rao, Guillermo A. Cecchi
Capacity limits in oscillatory networks: Implications for sensory coding. IJCNN (2013)
A. Ravishankar Rao, Guillermo A. Cecchi
Multi-sensory integration using sparse spatio-temporal encoding. IJCNN (2013)
Irina Rish, Guillermo A. Cecchi, Kyle Heuton, Marwan N. Baliki, Apkar Vania Apkarian
Sparse regression analysis of task-relevant information distribution in the brain. Medical Imaging: Image Processing (2012)
Guillermo A. Cecchi, Lejian Huang, Javeria Ali Hashmi, Marwan N. Baliki, María V. Centeno, Irina Rish, Apkar Vania Apkarian
Predictive Dynamics of Human Pain Perception. PLoS Comput. Biol. 8 (10) (2012)
Jean Honorio, Dimitris Samaras, Irina Rish, Guillermo A. Cecchi
Variable Selection for Gaussian Graphical Models. AISTATS (2012)
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)
A. Ravishankar Rao, Guillermo A. Cecchi
The effects of feedback and lateral connections on perceptual processing: A study using oscillatory networks. IJCNN (2011)
Rahul Garg, Guillermo A. Cecchi, A. Ravishankar Rao
Brain as a self-predictor: Sparse full-brain auto-regressive modeling in fMRI. ISBI (2011)
Rahul Garg, Guillermo A. Cecchi, A. Ravishankar Rao
Full-brain auto-regressive modeling (FARM) using fMRI. NeuroImage 58 (2) (2011)
A. Ravishankar Rao, Rahul Garg, Guillermo A. Cecchi
A spatio-temporal support vector machine searchlight for fMRI analysis. ISBI (2011)
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)
Irina Rish, Guillermo A. Cecchi, Marwan N. Baliki, Apkar Vania Apkarian
Sparse Regression Models of Pain Perception. Brain Informatics (2010)
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) (2010)
A. Ravishankar Rao, Guillermo A. Cecchi
Investigating the variation of orientation tuning in a computational model of the visual cortex. IJCNN (2010)
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) (2009)
A. Ravishankar Rao, Guillermo A. Cecchi
An optimization approach to understanding structure-function relationships in the visual cortex. IJCNN (2009)
Guillermo A. Cecchi, Rahul Garg, A. Ravishankar Rao
A Cluster Overlap Measure for Comparison of Activations in fMRI Studies. MICCAI (1) (2009)
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)
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)
A. Ravishankar Rao, Guillermo A. Cecchi
Spatio-temporal Dynamics during Perceptual Processing in an Oscillatory Neural Network. ICANN (2) (2008)
Guillermo A. Cecchi, Rahul Garg, A. Ravishankar Rao
Inferring brain dynamics using granger causality on fMRI data. ISBI (2008)
Irina Rish, Genady Grabarnik, Guillermo A. Cecchi, Francisco Pereira, Geoffrey J. Gordon
Closed-form supervised dimensionality reduction with generalized linear models. ICML (2008)

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Publication Activity (10 Years)

Top Topics

Top Venues

Guillermo A. Cecchi