Abhishek Gupta

research

∙ 08/31/2023

RePo: Resilient Model-Based Reinforcement Learning by Regularizing Posterior Predictability

Visual model-based RL methods typically encode image observations into l...

0 Chuning Zhu, et al. ∙

research

∙ 08/29/2023

Masquerade: Simple and Lightweight Transaction Reordering Mitigation in Blockchains

Blockchains offer strong security gurarantees, but cannot protect users ...

0 Arti Vedula, et al. ∙

research

∙ 08/02/2023

Maximizing Success Rate of Payment Routing using Non-stationary Bandits

This paper discusses the system architecture design and deployment of no...

0 Aayush Chaudhary, et al. ∙

research

∙ 07/20/2023

Breadcrumbs to the Goal: Goal-Conditioned Exploration from Human-in-the-Loop Feedback

Exploration and reward specification are fundamental and intertwined cha...

0 Marcel Torne, et al. ∙

research

∙ 07/12/2023

Tackling Combinatorial Distribution Shift: A Matrix Completion Perspective

Obtaining rigorous statistical guarantees for generalization under distr...

0 Max Simchowitz, et al. ∙

research

∙ 07/10/2023

Cobalt: Optimizing Mining Rewards in Proof-of-Work Network Games

Mining in proof-of-work blockchains has become an expensive affair requi...

0 Arti Vedula, et al. ∙

research

∙ 06/24/2023

Fighting Uncertainty with Gradients: Offline Reinforcement Learning via Diffusion Score Matching

Offline optimization paradigms such as offline Reinforcement Learning (R...

0 H. J. Terry Suh, et al. ∙

research

∙ 06/13/2023

Empirical Measurement of Aesthetic Experience of Music

Chills or goosebumps, also called frisson, is a phenomenon that is often...

0 Abhishek Gupta, et al. ∙

research

∙ 06/02/2023

Navigating Fairness in Radiology AI: Concepts, Consequences,and Crucial Considerations

Artificial Intelligence (AI) has significantly revolutionized radiology,...

0 Vasantha Kumar Venugopal, et al. ∙

research

∙ 05/24/2023

Prompt Evolution for Generative AI: A Classifier-Guided Approach

Synthesis of digital artifacts conditioned on user prompts has become an...

0 Melvin Wong, et al. ∙

research

∙ 04/27/2023

Learning to Extrapolate: A Transductive Approach

Machine learning systems, especially with overparameterized deep neural ...

0 Aviv Netanyahu, et al. ∙

research

∙ 03/31/2023

Augmented Collective Intelligence in Collaborative Ideation: Agenda and Challenges

AI systems may be better thought of as peers than as tools. This paper e...

0 Emily Dardaman, et al. ∙

research

∙ 03/31/2023

Asking Better Questions – The Art and Science of Forecasting: A mechanism for truer answers to high-stakes questions

Without the ability to estimate and benchmark AI capability advancements...

0 Emily Dardaman, et al. ∙

research

∙ 03/25/2023

Deep Linear Discriminant Analysis with Variation for Polycystic Ovary Syndrome Classification

The polycystic ovary syndrome diagnosis is a problem that can be leverag...

0 Raunak Joshi, et al. ∙

research

∙ 03/23/2023

TactoFind: A Tactile Only System for Object Retrieval

We study the problem of object retrieval in scenarios where visual sensi...

0 Sameer Pai, et al. ∙

research

∙ 03/09/2023

Cherry-Picking with Reinforcement Learning

Grasping small objects surrounded by unstable or non-rigid material play...

0 Yunchu Zhang, et al. ∙

research

∙ 02/13/2023

Guiding Pretraining in Reinforcement Learning with Large Language Models

Reinforcement learning algorithms typically struggle in the absence of a...

0 Yuqing Du, et al. ∙

research

∙ 01/16/2023

Wobble control of a pendulum actuated spherical robot

Spherical robots can conduct surveillance in hostile, cluttered environm...

0 Animesh Singhal, et al. ∙

research

∙ 01/14/2023

Pendulum Actuated Spherical Robot: Dynamic Modeling Analysis for Wobble Precession

A spherical robot has many practical advantages as the entire electronic...

0 Animesh Singhal, et al. ∙

research

∙ 12/15/2022

Neuroevolution Surpasses Stochastic Gradient Descent for Physics-Informed Neural Networks

The potential of learned models for fundamental scientific research and ...

0 Nicholas Sung Wei Yong, et al. ∙

research

∙ 11/28/2022

Forged Image Detection using SOTA Image Classification Deep Learning Methods for Image Forensics with Error Level Analysis

The advancement in the area of computer vision has been brought using de...

0 Raunak Joshi, et al. ∙

research

∙ 10/24/2022

Learning Robust Real-World Dexterous Grasping Policies via Implicit Shape Augmentation

Dexterous robotic hands have the capability to interact with a wide vari...

0 Zoey Qiuyu Chen, et al. ∙

research

∙ 10/18/2022

Unpacking Reward Shaping: Understanding the Benefits of Reward Engineering on Sample Complexity

Reinforcement learning provides an automated framework for learning beha...

0 Abhishek Gupta, et al. ∙

research

∙ 10/06/2022

Distributionally Adaptive Meta Reinforcement Learning

Meta-reinforcement learning algorithms provide a data-driven way to acqu...

0 Anurag Ajay, et al. ∙

research

∙ 09/28/2022

DexTransfer: Real World Multi-fingered Dexterous Grasping with Minimal Human Demonstrations

Teaching a multi-fingered dexterous robot to grasp objects in the real w...

4 Zoey Qiuyu Chen, et al. ∙

research

∙ 08/24/2022

Metric Effects based on Fluctuations in values of k in Nearest Neighbor Regressor

Regression branch of Machine Learning purely focuses on prediction of co...

0 Abhishek Gupta, et al. ∙

research

∙ 07/02/2022

Interference Constrained Beam Alignment for Time-Varying Channels via Kernelized Bandits

To fully utilize the abundant spectrum resources in millimeter wave (mmW...

0 Yuntian Deng, et al. ∙

research

∙ 06/05/2022

Performance Comparison of Simple Transformer and Res-CNN-BiLSTM for Cyberbullying Classification

The task of text classification using Bidirectional based LSTM architect...

0 Raunak Joshi, et al. ∙

research

∙ 06/02/2022

Prediction of Maneuvering Status for Aerial Vehicles using Supervised Learning Methods

Aerial Vehicles follow a guided approach based on Latitude, Longitude an...

0 Abhishek Gupta, et al. ∙

research

∙ 05/25/2022

Residual-Concatenate Neural Network with Deep Regularization Layers for Binary Classification

Many complex Deep Learning models are used with different variations for...

0 Abhishek Gupta, et al. ∙

research

∙ 05/02/2022

Jack and Masters of All Trades: One-Pass Learning of a Set of Model Sets from Foundation AI Models

For deep learning, size is power. Massive neural nets trained on broad d...

9 Han Xiang Choong, et al. ∙

research

∙ 04/20/2022

Res-CNN-BiLSTM Network for overcoming Mental Health Disturbances caused due to Cyberbullying through Social Media

Mental Health Disturbance has many reasons and cyberbullying is one of t...

0 Raunak Joshi, et al. ∙

research

∙ 04/19/2022

Detection of Tool based Edited Images from Error Level Analysis and Convolutional Neural Network

Image Forgery is a problem of image forensics and its detection can be l...

0 Abhishek Gupta, et al. ∙

research

∙ 03/29/2022

Demonstration-Bootstrapped Autonomous Practicing via Multi-Task Reinforcement Learning

Reinforcement learning systems have the potential to enable continuous i...

0 Abhishek Gupta, et al. ∙

research

∙ 03/21/2022

Lean Evolutionary Reinforcement Learning by Multitasking with Importance Sampling

Studies have shown evolution strategies (ES) to be a promising approach ...

0 Nick Zhang, et al. ∙

research

∙ 03/19/2022

Teachable Reinforcement Learning via Advice Distillation

Training automated agents to complete complex tasks in interactive envir...

0 Olivia Watkins, et al. ∙

research

∙ 02/28/2022

The Golden Circle: Creating Socio-technical Alignment in Content Moderation

This paper outlines a conceptual framework titled The Golden Circle that...

0 Abhishek Gupta, et al. ∙

research

∙ 02/17/2022

Combining Varied Learners for Binary Classification using Stacked Generalization

The Machine Learning has various learning algorithms that are better in ...

0 Sruthi Nair, et al. ∙

research

∙ 02/15/2022

Binary Classification for High Dimensional Data using Supervised Non-Parametric Ensemble Method

Medical Research data used for prognostication deals with binary classif...

0 Nandan Kanvinde, et al. ∙

research

∙ 02/15/2022

HAA4D: Few-Shot Human Atomic Action Recognition via 3D Spatio-Temporal Skeletal Alignment

Human actions involve complex pose variations and their 2D projections c...

1 Mu-Ruei Tseng, et al. ∙

research

∙ 02/12/2022

State of AI Ethics Report (Volume 6, February 2022)

This report from the Montreal AI Ethics Institute (MAIEI) covers the mos...

0 Abhishek Gupta, et al. ∙

research

∙ 02/07/2022

Effects of Parametric and Non-Parametric Methods on High Dimensional Sparse Matrix Representations

The semantics are derived from textual data that provide representations...

0 Sayali Tambe, et al. ∙

research

∙ 01/27/2022

Change Detection of Markov Kernels with Unknown Post Change Kernel using Maximum Mean Discrepancy

In this paper, we develop a new change detection algorithm for detecting...

0 Hao Chen, et al. ∙

research

∙ 01/09/2022

Discriminant Analysis in Contrasting Dimensions for Polycystic Ovary Syndrome Prognostication

A lot of prognostication methodologies have been formulated for early de...

7 Abhishek Gupta, et al. ∙

research

∙ 01/02/2022

Succinct Differentiation of Disparate Boosting Ensemble Learning Methods for Prognostication of Polycystic Ovary Syndrome Diagnosis

Prognostication of medical problems using the clinical data by leveragin...

0 Abhishek Gupta, et al. ∙

research

∙ 12/17/2021

Autonomous Reinforcement Learning: Formalism and Benchmarking

Reinforcement learning (RL) provides a naturalistic framing for learning...

11 Archit Sharma, et al. ∙

research

∙ 12/10/2021

The Co-Designed Post-Pandemic University: A Participatory and Continual Learning Approach for the Future of Work

The pandemic has shattered the traditional enclosures of learning. The p...

0 Abhishek Gupta, et al. ∙

research

∙ 11/09/2021

Nash Equilibrium Control Policy against Bus-off Attacks in CAN Networks

A bus-off attack is a denial-of-service (DoS) attack which exploits erro...

0 Jiacheng Tang, et al. ∙

research

∙ 10/07/2021

Offline RL With Resource Constrained Online Deployment

Offline reinforcement learning is used to train policies in scenarios wh...

0 Jayanth Reddy Regatti, et al. ∙

research

∙ 09/27/2021

Half a Dozen Real-World Applications of Evolutionary Multitasking and More

Until recently, the potential to transfer evolved skills across distinct...

0 Abhishek Gupta, et al. ∙

Abhishek Gupta

Featured Co-authors