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09/13/2023
Remote Inference of Cognitive Scores in ALS Patients Using a Picture Description
Amyotrophic lateral sclerosis is a fatal disease that not only affects m...
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07/11/2023
GOKU-UI: Ubiquitous Inference through Attention and Multiple Shooting for Continuous-time Generative Models
Scientific Machine Learning (SciML) is a burgeoning field that synergist...
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04/02/2023
Towards Healthy AI: Large Language Models Need Therapists Too
Recent advances in large language models (LLMs) have led to the developm...
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03/16/2023
Psychotherapy AI Companion with Reinforcement Learning Recommendations and Interpretable Policy Dynamics
We introduce a Reinforcement Learning Psychotherapy AI Companion that ge...
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02/21/2023
TherapyView: Visualizing Therapy Sessions with Temporal Topic Modeling and AI-Generated Arts
We present the TherapyView, a demonstration system to help therapists vi...
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12/31/2022
Definition and clinical validation of Pain Patient States from high-dimensional mobile data: application to a chronic pain cohort
The technical capacity to monitor patients with a mobile device has dras...
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10/27/2022
Working Alliance Transformer for Psychotherapy Dialogue Classification
As a predictive measure of the treatment outcome in psychotherapy, the w...
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09/14/2022
PainPoints: A Framework for Language-based Detection of Chronic Pain and Expert-Collaborative Text-Summarization
Chronic pain is a pervasive disorder which is often very disabling and i...
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04/13/2022
Neural Topic Modeling of Psychotherapy Sessions
In this work, we compare different neural topic modeling methods in lear...
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04/12/2022
Deep Annotation of Therapeutic Working Alliance in Psychotherapy
The therapeutic working alliance is an important predictor of the outcom...
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10/22/2020
Predicting Human Decision Making in Psychological Tasks with Recurrent Neural Networks
Unlike traditional time series, the action sequences of human decision m...
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06/09/2020
Online Learning in Iterated Prisoner's Dilemma to Mimic Human Behavior
Prisoner's Dilemma mainly treat the choice to cooperate or defect as an ...
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05/10/2020
Unified Models of Human Behavioral Agents in Bandits, Contextual Bandits and RL
Artificial behavioral agents are often evaluated based on their consiste...
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09/09/2019
Nearly-Unsupervised Hashcode Representations for Relation Extraction
Recently, kernelized locality sensitive hashcodes have been successfully...
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06/21/2019
Reinforcement Learning Models of Human Behavior: Reward Processing in Mental Disorders
Drawing an inspiration from behavioral studies of human decision making,...
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06/21/2019
Split Q Learning: Reinforcement Learning with Two-Stream Rewards
Drawing an inspiration from behavioral studies of human decision making,...
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05/24/2018
Learning Nonlinear Brain Dynamics: van der Pol Meets LSTM
Many real-world data sets, especially in biology, are produced by highly...
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04/26/2018
Dialogue Modeling Via Hash Functions: Applications to Psychotherapy
We propose a novel machine-learning framework for dialogue modeling whic...
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02/03/2018
Adaptive Representation Selection in Contextual Bandit with Unlabeled History
We consider an extension of the contextual bandit setting, motivated by ...
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11/10/2017
Efficient Representation for Natural Language Processing via Kernelized Hashcodes
Kernel similarity functions have been successfully applied in classifica...
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07/05/2017
ProtoDash: Fast Interpretable Prototype Selection
In this paper we propose an efficient algorithm ProtoDash for selecting ...
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01/22/2017
Neurogenesis-Inspired Dictionary Learning: Online Model Adaption in a Changing World
In this paper, we focus on online representation learning in non-station...
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01/06/2017
NIPS 2016 Workshop on Representation Learning in Artificial and Biological Neural Networks (MLINI 2016)
This workshop explores the interface between cognitive neuroscience and ...
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12/27/2016
The ontogeny of discourse structure mimics the development of literature
Discourse varies with age, education, psychiatric state and historical e...
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06/07/2016
