Guillermo A. Cecchi

Orcid: 0000-0003-1013-8348

Affiliations:
  • IBM Research, Yorktown Heights, NY, USA


According to our database1, Guillermo A. Cecchi authored at least 105 papers between 1996 and 2024.

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Bibliography

2024
COMPASS: Computational Mapping of Patient-Therapist Alliance Strategies with Language Modeling.
CoRR, 2024

2023
The Impact of COVID-19 on Chronic Pain: Multidimensional Clustering Reveals Deep Insights into Spinal Cord Stimulation Patients.
CoRR, 2023

GOKU-UI: Ubiquitous Inference through Attention and Multiple Shooting for Continuous-time Generative Models.
CoRR, 2023

Towards Healthy AI: Large Language Models Need Therapists Too.
CoRR, 2023

TherapyView: Visualizing Therapy Sessions with Temporal Topic Modeling and AI-Generated Arts.
CoRR, 2023

Psychotherapy AI Companion with Reinforcement Learning Recommendations and Interpretable Policy Dynamics.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Information theoretic clustering via divergence maximization among clusters.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

Helping Therapists with NLP-Annotated Recommendation 17-24.
Proceedings of the Joint Proceedings of the IUI 2023 Workshops: HAI-GEN, 2023

SupervisorBot: NLP-Annotated Real-Time Recommendations of Psychotherapy Treatment Strategies with Deep Reinforcement Learning.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

The Impact of COVID-19 on Chronic Pain: Multidimensional Clustering Reveals Deep Insights into Spinal Cord Stimulation Patients.
Proceedings of the IEEE International Conference on Digital Health, 2023

Remote Inference of Cognitive Scores in ALS Patients Using a Picture Description.
Proceedings of the IEEE International Conference on Digital Health, 2023

2022
Identifying patterns in amyotrophic lateral sclerosis progression from sparse longitudinal data.
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Nat. Comput. Sci., 2022

Working Alliance Transformer for Psychotherapy Dialogue Classification.
CoRR, 2022

PainPoints: A Framework for Language-based Detection of Chronic Pain and Expert-Collaborative Text-Summarization.
CoRR, 2022

Neural Topic Modeling of Psychotherapy Sessions.
CoRR, 2022

Deep Annotation of Therapeutic Working Alliance in Psychotherapy.
CoRR, 2022

Online Learning in Iterated Prisoner's Dilemma to Mimic Human Behavior.
Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

Predicting Human Decision Making with LSTM.
Proceedings of the International Joint Conference on Neural Networks, 2022

Definition and clinical validation of Pain Patient States from high-dimensional mobile data: application to a chronic pain cohort.
Proceedings of the IEEE International Conference on Digital Health, 2022

ALS community pressing issues: lessons from a survey.
Proceedings of the AMIA 2022, 2022

2021
Learning Brain Dynamics With Coupled Low-Dimensional Nonlinear Oscillators and Deep Recurrent Networks.
Neural Comput., 2021

2020
Predicting Human Decision Making in Psychological Tasks with Recurrent Neural Networks.
CoRR, 2020

Unified Models of Human Behavioral Agents in Bandits, Contextual Bandits and RL.
CoRR, 2020

Dependency Analysis of Spoken Language for Assessment of Neurological Disorders.
Proceedings of the 3rd RaPID Workshop: Resources and Processing of Linguistic, 2020

Models of Human Behavioral Agents in Bandits, Contextual Bandits and RL.
Proceedings of the Human Brain and Artificial Intelligence - Second International Workshop, 2020

Analyzing acoustic and prosodic fluctuations in free speech to predict psychosis onset in high-risk youths.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

A Story of Two Streams: Reinforcement Learning Models from Human Behavior and Neuropsychiatry.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Cloud-Native Language-Based Analysis for Neurodegenerative Assessment.
Proceedings of the AMIA 2020, 2020

Evaluating the utility of a picture description task for monitoring progression of ALS at home.
Proceedings of the AMIA 2020, 2020

Modeling Dialogues with Hashcode Representations: A Nonparametric Approach.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Nearly-Unsupervised Hashcode Representations for Relation Extraction.
CoRR, 2019

Reinforcement Learning Models of Human Behavior: Reward Processing in Mental Disorders.
CoRR, 2019

Predicting conversion to psychosis in clinical high risk patients using resting-state functional MRI features.
Proceedings of the Medical Imaging 2019: Biomedical Applications in Molecular, 2019

A New Approach for Automating Analysis of Responses on Verbal Fluency Tests from Subjects At-Risk for Schizophrenia.
Proceedings of the Interspeech 2019, 2019

Split Q Learning: Reinforcement Learning with Two-Stream Rewards.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Efficient Data Representation by Selecting Prototypes with Importance Weights.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Dimensional Analysis of Laughter in Female Conversational Speech.
Proceedings of the IEEE International Conference on Acoustics, 2019

Speech Markers for Clinical Assessment of Cocaine Users.
Proceedings of the IEEE International Conference on Acoustics, 2019

Nearly-Unsupervised Hashcode Representations for Biomedical Relation Extraction.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Analyzing progression of motor and speech impairment in ALS.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Kernelized Hashcode Representations for Relation Extraction.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
An entropic barriers diffusion theory of decision-making in multiple alternative tasks.
PLoS Comput. Biol., 2018

Learning Nonlinear Brain Dynamics: van der Pol Meets LSTM.
CoRR, 2018

Adaptive Representation Selection in Contextual Bandit with Unlabeled History.
CoRR, 2018

Predictive Linguistic Markers of Suicidality in Poets.
Proceedings of the 12th IEEE International Conference on Semantic Computing, 2018

Detection of Amyotrophic Lateral Sclerosis (ALS) via Acoustic Analysis.
Proceedings of the Interspeech 2018, 2018

Dialogue Modeling Via Hash Functions.
Proceedings of the Linguistic and Cognitive Approaches To Dialog Agents Workshop co-located with the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI 2018), 2018

Contextual Bandit with Adaptive Feature Extraction.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

Predicting Cognitive Impairments with a Mobile Application.
Proceedings of the 10th International Conference on Agents and Artificial Intelligence, 2018

Unsupervised Morphological Segmentation for Detecting Parkinson's Disease.
Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Holographic brain: Distributed versus local activation patterns in fMRI.
IBM J. Res. Dev., 2017

Computational psychiatry: Advancing predictive modeling of neurodegeneration with neuroimaging of Huntington's disease.
IBM J. Res. Dev., 2017

Computing the structure of language for neuropsychiatric evaluation.
IBM J. Res. Dev., 2017

Efficient Representation for Natural Language Processing via Kernelized Hashcodes.
CoRR, 2017

ProtoDash: Fast Interpretable Prototype Selection.
CoRR, 2017

Learning discriminative functional network features of schizophrenia.
Proceedings of the Medical Imaging 2017: Biomedical Applications in Molecular, 2017

Phonological Markers of Oxytocin and MDMA Ingestion.
Proceedings of the Interspeech 2017, 2017

Context Attentive Bandits: Contextual Bandit with Restricted Context.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Neurogenesis-Inspired Dictionary Learning: Online Model Adaption in a Changing World.
Proceedings of the 5th International Conference on Learning Representations, 2017

Using Automated Metaphor Identification to Aid in Detection and Prediction of First-Episode Schizophrenia.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Bandit Models of Human Behavior: Reward Processing in Mental Disorders.
Proceedings of the Artificial General Intelligence - 10th International Conference, 2017

2016
The ontogeny of discourse structure mimics the development of literature.
CoRR, 2016

Emotional Intensity analysis in Bipolar subjects.
CoRR, 2016

Evaluating effects of methylphenidate on brain activity in cocaine addiction: a machine-learning approach.
Proceedings of the Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, San Diego, California, United States, 27 February, 2016

2015
Fast Distributed Dynamics of Semantic Networks via Social Media.
Comput. Intell. Neurosci., 2015

2014
Spatial localization of the first and last enzymes effectively connects active metabolic pathways in bacteria.
BMC Syst. Biol., 2014

Automated Speech Analysis for Psychosis Evaluation.
Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2014

2013
Linking human brain local activity fluctuations to structural and functional network architectures.
NeuroImage, 2013

Capacity limits in oscillatory networks: Implications for sensory coding.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Multi-sensory integration using sparse spatio-temporal encoding.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012
Predictive Dynamics of Human Pain Perception.
PLoS Comput. Biol., 2012

Variable Selection for Gaussian Graphical Models.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Sparse regression analysis of task-relevant information distribution in the brain.
Proceedings of the Medical Imaging 2012: Image Processing, 2012

2011
Full-brain auto-regressive modeling (FARM) using fMRI.
NeuroImage, 2011

Fast computation of functional networks from fMRI activity: a multi-platform comparison.
Proceedings of the Medical Imaging 2011: Image Processing, 2011

A spatio-temporal support vector machine searchlight for fMRI analysis.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Brain as a self-predictor: Sparse full-brain auto-regressive modeling in fMRI.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

The effects of feedback and lateral connections on perceptual processing: A study using oscillatory networks.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010
An objective function utilizing complex sparsity for efficient segmentation in multi-layer oscillatory networks.
Int. J. Intell. Comput. Cybern., 2010

The emergence of the modern concept of introspection: a quantitative linguistic analysis.
Proceedings of the NAACL HLT 2010 Young Investigators Workshop on Computational Approaches to Languages of the Americas, 2010

Investigating the variation of orientation tuning in a computational model of the visual cortex.
Proceedings of the International Joint Conference on Neural Networks, 2010

Sparse Regression Models of Pain Perception.
Proceedings of the Brain Informatics, International Conference, 2010

2009
Prediction and interpretation of distributed neural activity with sparse models.
NeuroImage, 2009

Discriminative Network Models of Schizophrenia.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

A Cluster Overlap Measure for Comparison of Activations in fMRI Studies.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

An optimization approach to understanding structure-function relationships in the visual cortex.
Proceedings of the International Joint Conference on Neural Networks, 2009

Self-Organizing Map Simulations Confirm Similarity of Spatial Correlation Structure in Natural Images and Cortical Representations.
Proceedings of the Artificial Neural Networks, 2009

2008
Unsupervised Segmentation With Dynamical Units.
IEEE Trans. Neural Networks, 2008

Improved mapping of information distribution across the cortical surface with the support vector machine.
Neural Networks, 2008

Inferring brain dynamics using granger causality on fMRI data.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

Efficient segmentation in multi-layer oscillatory networks.
Proceedings of the International Joint Conference on Neural Networks, 2008

Closed-form supervised dimensionality reduction with generalized linear models.
Proceedings of the Machine Learning, 2008

Spatio-temporal Dynamics during Perceptual Processing in an Oscillatory Neural Network.
Proceedings of the Artificial Neural Networks, 2008

Statistics of natural scenes and the cortical representation of color.
Proceedings of the Human Vision and Electronic Imaging XIII, 2008

2007
Emergence of Topographic Cortical Maps in a Parameterless Local Competition Network.
Proceedings of the Advances in Neural Networks, 2007

Topographic Infomax in a Neural Multigrid.
Proceedings of the Advances in Neural Networks, 2007

Cortical representation of information about visual attributes: one network or many?
Proceedings of the International Joint Conference on Neural Networks, 2007

Network-Related Challenges and Insights from Neuroscience.
Proceedings of the Bio-Inspired Computing and Communication, 2007

2006
An optimization approach to achieve unsupervised segmentation and binding in a dynamical network.
Proceedings of the International Joint Conference on Neural Networks, 2006

Inference and segmentation in cortical processing.
Proceedings of the Human Vision and Electronic Imaging XI, 2006

2005
Evaluation of the Effect of Input Stimuli on the Quality of Orientation Maps Produced Through Self Organization.
Proceedings of the Image Analysis, 14th Scandinavian Conference, 2005

A model of the formation of a self-organized cortical representation of color.
Proceedings of the Human Vision and Electronic Imaging X, 2005

2003
Simulation Infrastructure for Modeling Large Scale Neural Systems.
Proceedings of the Computational Science - ICCS 2003, 2003

2001
Unsupervised Learning and Adaptation in a Model of Adult Neurogenesis.
J. Comput. Neurosci., 2001

1996
DNA based molecular computation: Template-template interactions in PCR.
Proceedings of the DNA Based Computers, 1996


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