Search Results for author:
Found 14 papers, 1 papers with code
Creating an AI Observer: Generative Semantic Workspaces
An experienced human Observer reading a document -- such as a crime report -- creates a succinct plot-like $\textit{``Working Memory''}$ comprising different actors, their prototypical roles and states at any point, their evolution over time based on their interactions, and even a map of missing Semantic parts anticipating them in the future.
Embed-Search-Align: DNA Sequence Alignment using Transformer Models
In this framework, a novel encoder model DNA-ESA generates representations of reads and fragments of the reference, which are projected into a shared vector space where the read-fragment distance is used as surrogate for alignment.
Metalearning generalizable dynamics from trajectories
We present the interpretable meta neural ordinary differential equation (iMODE) method to rapidly learn generalizable (i. e., not parameter-specific) dynamics from trajectories of multiple dynamical systems that vary in their physical parameters.
Action-conditioned On-demand Motion Generation
We propose a novel framework, On-Demand MOtion Generation (ODMO), for generating realistic and diverse long-term 3D human motion sequences conditioned only on action types with an additional capability of customization.
Ranked #1 on
Human action generation
on UESTC RGB-D
Quantum Advantage in Variational Bayes Inference
Variational Bayes (VB) inference algorithm is used widely to estimate both the parameters and the unobserved hidden variables in generative statistical models.
Quantum Approximation of Normalized Schatten Norms and Applications to Learning
Efficient measures to determine similarity of quantum states, such as the fidelity metric, have been widely studied.
Diverse Imitation Learning via Self-Organizing Generative Models
Imitation learning is the task of replicating expert policy from demonstrations, without access to a reward function.
Which side are you on? Insider-Outsider classification in conspiracy-theoretic social media
In these, an outside group threatens the integrity of an inside group, leading to the emergence of sharply defined group identities: Insiders -- agents with whom the authors identify and Outsiders -- agents who threaten the insiders.
Modeling Social Readers: Novel Tools for Addressing Reception from Online Book Reviews
Readers' responses to literature have received scant attention in computational literary studies.
Ansatz-Independent Variational Quantum Classifier
Next, we propose a variational circuit realization (VCR) for designing efficient quantum circuits for a given unitary operator.
An automated pipeline for the discovery of conspiracy and conspiracy theory narrative frameworks: Bridgegate, Pizzagate and storytelling on the web
We base this work on two separate repositories of posts and news articles describing the well-known conspiracy theory Pizzagate from 2016, and the New Jersey conspiracy Bridgegate from 2013.
Conspiracy in the Time of Corona: Automatic detection of Covid-19 Conspiracy Theories in Social Media and the News
Understanding the dynamics of storytelling on social media and the narrative frameworks that provide the generative basis for these stories may also be helpful for devising methods to disrupt their spread.
An Automated Pipeline for Character and Relationship Extraction from Readers' Literary Book Reviews on Goodreads.com
We represent this framework in the form of an actant-relationship story graph.
Brain-inspired automated visual object discovery and detection
This paper leverages the availability of such data to develop a scalable framework for unsupervised learning of object prototypes--brain-inspired flexible, scale, and shift invariant representations of deformable objects (e. g., humans, motorcycles, cars, airplanes) comprised of parts, their different configurations and views, and their spatial relationships.
