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09/14/2023
Semantic Adversarial Attacks via Diffusion Models
Traditional adversarial attacks concentrate on manipulating clean exampl...
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09/01/2023
DiffuGen: Adaptable Approach for Generating Labeled Image Datasets using Stable Diffusion Models
Generating high-quality labeled image datasets is crucial for training a...
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07/28/2023
Lessons in Reproducibility: Insights from NLP Studies in Materials Science
Natural Language Processing (NLP), a cornerstone field within artificial...
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07/06/2023
3D Environment Modeling for Falsification and Beyond with Scenic 3.0
We present a major new version of Scenic, a probabilistic programming la...
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07/04/2023
Generative Artificial Intelligence Consensus in a Trustless Network
We performed a billion locality sensitive hash comparisons between artif...
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12/29/2022
Investigating Sindy As a Tool For Causal Discovery In Time Series Signals
The SINDy algorithm has been successfully used to identify the governing...
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12/06/2022
MobilePTX: Sparse Coding for Pneumothorax Detection Given Limited Training Examples
Point-of-Care Ultrasound (POCUS) refers to clinician-performed and inter...
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07/04/2022
Emergency Management and Recovery of Luna Classic
In early May 2022, the Terra ecosystem collapsed after the algorithmic s...
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05/30/2022
Dictionary Learning with Accumulator Neurons
The Locally Competitive Algorithm (LCA) uses local competition between n...
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04/14/2022
EvoSTS Forecasting: Evolutionary Sparse Time-Series Forecasting
In this work, we highlight our novel evolutionary sparse time-series for...
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03/11/2022
Perception Over Time: Temporal Dynamics for Robust Image Understanding
While deep learning surpasses human-level performance in narrow and spec...
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12/01/2021
Querying Labelled Data with Scenario Programs for Sim-to-Real Validation
Simulation-based testing of autonomous vehicles (AVs) has become an esse...
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10/28/2021
A Scenario-Based Platform for Testing Autonomous Vehicle Behavior Prediction Models in Simulation
Behavior prediction remains one of the most challenging tasks in the aut...
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10/01/2021
Multi-Agent Algorithmic Recourse
The recent adoption of machine learning as a tool in real world decision...
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08/20/2021
Addressing the IEEE AV Test Challenge with Scenic and VerifAI
This paper summarizes our formal approach to testing autonomous vehicles...
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07/09/2021
Parallel and Multi-Objective Falsification with Scenic and VerifAI
Falsification has emerged as an important tool for simulation-based veri...
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06/18/2021
Scenic4RL: Programmatic Modeling and Generation of Reinforcement Learning Environments
The capability of reinforcement learning (RL) agent directly depends on ...
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06/13/2021
ATRAS: Adversarially Trained Robust Architecture Search
In this paper, we explore the effect of architecture completeness on adv...
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04/18/2021
Functional Protein Structure Annotation Using a Deep Convolutional Generative Adversarial Network
Identifying novel functional protein structures is at the heart of molec...
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03/01/2021
Extreme Volatility Prediction in Stock Market: When GameStop meets Long Short-Term Memory Networks
The beginning of 2021 saw a surge in volatility for certain stocks such ...
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02/24/2021
Robust SleepNets
State-of-the-art convolutional neural networks excel in machine learning...
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01/16/2021
Evaluating Online and Offline Accuracy Traversal Algorithms for k-Complete Neural Network Architectures
Architecture sizes for neural networks have been studied widely and seve...
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01/16/2021
Towards Searching Efficient and Accurate Neural Network Architectures in Binary Classification Problems
In recent years, deep neural networks have had great success in machine ...
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11/30/2020
A Customizable Dynamic Scenario Modeling and Data Generation Platform for Autonomous Driving
Safely interacting with humans is a significant challenge for autonomous...
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11/24/2020
The Interpretable Dictionary in Sparse Coding
Artificial neural networks (ANNs), specifically deep learning networks, ...
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11/23/2020
The Selectivity and Competition of the Mind's Eye in Visual Perception
Research has shown that neurons within the brain are selective to certai...
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10/13/2020
Scenic: A Language for Scenario Specification and Data Generation
We propose a new probabilistic programming language for the design and a...
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03/17/2020
Formal Scenario-Based Testing of Autonomous Vehicles: From Simulation to the Real World
We present a new approach to automated scenario-based testing of the saf...
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12/01/2019
A Programmatic and Semantic Approach to Explaining and DebuggingNeural Network Based Object Detectors
Even as deep neural networks have become very effective for tasks in vis...
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11/25/2019
Machine-learned metrics for predicting the likelihood of success in materials discovery
Materials discovery is often compared to the challenge of finding a need...
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11/25/2019
Machine-learned metrics for predicting thelikelihood of success in materials discovery
Materials discovery is often compared to the challenge of finding a need...
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05/16/2019
The Materials Science Procedural Text Corpus: Annotating Materials Synthesis Procedures with Shallow Semantic Structures
Materials science literature contains millions of materials synthesis pr...
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02/12/2019
VERIFAI: A Toolkit for the Design and Analysis of Artificial Intelligence-Based Systems
We present VERIFAI, a software toolkit for the formal design and analysi...
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12/31/2018
Inorganic Materials Synthesis Planning with Literature-Trained Neural Networks
Leveraging new data sources is a key step in accelerating the pace of ma...
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11/17/2018
Classifiers Based on Deep Sparse Coding Architectures are Robust to Deep Learning Transferable Examples
Although deep learning has shown great success in recent years, research...
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11/21/2017
Deep Sparse Coding for Invariant Multimodal Halle Berry Neurons
Deep feed-forward convolutional neural networks (CNNs) have become ubiqu...
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11/18/2017
