research
∙
09/20/2023
The Topology and Geometry of Neural Representations
A central question for neuroscience is how to characterize brain represe...
share
research
∙
06/06/2023
Utterance Classification with Logical Neural Network: Explainable AI for Mental Disorder Diagnosis
In response to the global challenge of mental health problems, we propos...
research
∙
04/02/2023
Towards Healthy AI: Large Language Models Need Therapists Too
Recent advances in large language models (LLMs) have led to the developm...
research
∙
03/16/2023
Psychotherapy AI Companion with Reinforcement Learning Recommendations and Interpretable Policy Dynamics
We introduce a Reinforcement Learning Psychotherapy AI Companion that ge...
research
∙
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...
research
∙
02/21/2023
A Reinforcement Learning Framework for Online Speaker Diarization
Speaker diarization is a task to label an audio or video recording with ...
research
∙
02/02/2023
A Survey on Compositional Generalization in Applications
The field of compositional generalization is currently experiencing a re...
research
∙
10/27/2022
Working Alliance Transformer for Psychotherapy Dialogue Classification
As a predictive measure of the treatment outcome in psychotherapy, the w...
research
∙
10/24/2022
Reinforcement Learning and Bandits for Speech and Language Processing: Tutorial, Review and Outlook
In recent years, reinforcement learning and bandits have transformed a w...
research
∙
10/24/2022
Computational Inference in Cognitive Science: Operational, Societal and Ethical Considerations
Emerging research frontiers and computational advances have gradually tr...
research
∙
08/27/2022
SupervisorBot: NLP-Annotated Real-Time Recommendations of Psychotherapy Treatment Strategies with Deep Reinforcement Learning
We propose a recommendation system that suggests treatment strategies to...
research
∙
06/15/2022
Knowledge Management System with NLP-Assisted Annotations: A Brief Survey and Outlook
Knowledge management systems are in high demand for industrial researche...
research
∙
04/29/2022
Topological Data Analysis in Time Series: Temporal Filtration and Application to Single-Cell Genomics
The absence of a conventional association between the cell-cell cohabita...
research
∙
04/26/2022
Evolutionary Multi-Armed Bandits with Genetic Thompson Sampling
As two popular schools of machine learning, online learning and evolutio...
research
∙
04/13/2022
Neural Topic Modeling of Psychotherapy Sessions
In this work, we compare different neural topic modeling methods in lear...
research
∙
04/12/2022
Deep Annotation of Therapeutic Working Alliance in Psychotherapy
The therapeutic working alliance is an important predictor of the outcom...
research
∙
03/10/2022
Geometric and Topological Inference for Deep Representations of Complex Networks
Understanding the deep representations of complex networks is an importa...
research
∙
06/30/2021
Optimal Epidemic Control as a Contextual Combinatorial Bandit with Budget
In light of the COVID-19 pandemic, it is an open challenge and critical ...
research
∙
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...
research
∙
09/17/2020
Online Semi-Supervised Learning in Contextual Bandits with Episodic Reward
We considered a novel practical problem of online learning with episodic...
research
∙
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 ...
research
∙
06/08/2020
Speaker Diarization as a Fully Online Learning Problem in MiniVox
We proposed a novel AI framework to conduct real-time multi-speaker diar...
research
∙
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...
research
∙
04/21/2020
Keep It Real: a Window to Real Reality in Virtual Reality
This paper proposed a new interaction paradigm in the virtual reality (V...
research
∙
06/21/2019
Visualizing Representational Dynamics with Multidimensional Scaling Alignment
Representational similarity analysis (RSA) has been shown to be an effec...
research
∙
06/21/2019
Reinforcement Learning Models of Human Behavior: Reward Processing in Mental Disorders
Drawing an inspiration from behavioral studies of human decision making,...
research
∙
06/21/2019
Split Q Learning: Reinforcement Learning with Two-Stream Rewards
Drawing an inspiration from behavioral studies of human decision making,...
research
∙
02/27/2019
Regularity Normalization: Constraining Implicit Space with Minimum Description Length
Inspired by the adaptation phenomenon of biological neuronal firing rate...
research
∙
10/06/2018
Adaptive Independence Tests with Geo-Topological Transformation
Testing two potentially multivariate variables for statistical dependenc...
research
∙
02/03/2018
Adaptive Representation Selection in Contextual Bandit with Unlabeled History
We consider an extension of the contextual bandit setting, motivated by ...
research
∙
11/11/2017