b'Gautam Shroff'

Batch-Constrained Distributional Reinforcement Learning for Session-based Recommendation

Most of the existing deep reinforcement learning (RL) approaches for ses...
12/16/2020 ∙ by Diksha Garg, et al. ∙ 0 ∙ share

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Hi-CI: Deep Causal Inference in High Dimensions

We address the problem of counterfactual regression using causal inferen...
08/22/2020 ∙ by Ankit Sharma, et al. ∙ 8 ∙ share

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Handling Variable-Dimensional Time Series with Graph Neural Networks

Several applications of Internet of Things(IoT) technology involve captu...
07/01/2020 ∙ by Vibhor Gupta, et al. ∙ 6 ∙ share

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Graph Neural Networks for Leveraging Industrial Equipment Structure: An application to Remaining Useful Life Estimation

Automated equipment health monitoring from streaming multisensor time-se...
06/30/2020 ∙ by Jyoti Narwariya, et al. ∙ 0 ∙ share

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MultiMBNN: Matched and Balanced Causal Inference with Neural Networks

Causal inference (CI) in observational studies has received a lot of att...
04/28/2020 ∙ by Ankit Sharma, et al. ∙ 0 ∙ share

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Privacy Guidelines for Contact Tracing Applications

Contact tracing is a very powerful method to implement and enforce socia...
04/28/2020 ∙ by Manish Shukla, et al. ∙ 0 ∙ share

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MetaCI: Meta-Learning for Causal Inference in a Heterogeneous Population

Performing inference on data obtained through observational studies is b...
12/09/2019 ∙ by Ankit Sharma, et al. ∙ 0 ∙ share

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Meta-Learning for Few-Shot Time Series Classification

Deep neural networks (DNNs) have achieved state-of-the-art results on ti...
09/13/2019 ∙ by Jyoti Narwariya, et al. ∙ 0 ∙ share

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NISER: Normalized Item and Session Representations with Graph Neural Networks

The goal of session-based recommendation (SR) models is to utilize the i...
09/10/2019 ∙ by Priyanka Gupta, et al. ∙ 0 ∙ share

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Meta-Learning for Black-box Optimization

Recently, neural networks trained as optimizers under the "learning to l...
07/16/2019 ∙ by Vishnu TV, et al. ∙ 0 ∙ share

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One-shot Information Extraction from Document Images using Neuro-Deductive Program Synthesis

Our interest in this paper is in meeting a rapidly growing industrial de...
06/06/2019 ∙ by Vishal Sunder, et al. ∙ 0 ∙ share

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Fast Online "Next Best Offers" using Deep Learning

In this paper, we present iPrescribe, a scalable low-latency architectur...
05/31/2019 ∙ by Rekha Singhal, et al. ∙ 0 ∙ share

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ConvTimeNet: A Pre-trained Deep Convolutional Neural Network for Time Series Classification

Training deep neural networks often requires careful hyper-parameter tun...
04/29/2019 ∙ by Kathan Kashiparekh, et al. ∙ 0 ∙ share

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Transfer Learning for Clinical Time Series Analysis using Deep Neural Networks

Deep neural networks have shown promising results for various clinical p...
04/01/2019 ∙ by Priyanka Gupta, et al. ∙ 0 ∙ share

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Data-driven Prognostics with Predictive Uncertainty Estimation using Ensemble of Deep Ordinal Regression Models

Prognostics or Remaining Useful Life (RUL) Estimation from multi-sensor ...
03/23/2019 ∙ by Vishnu TV, et al. ∙ 0 ∙ share

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MEETING BOT: Reinforcement Learning for Dialogue Based Meeting Scheduling

In this paper we present Meeting Bot, a reinforcement learning based con...
12/28/2018 ∙ by Vishwanath D, et al. ∙ 0 ∙ share

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Deep Reader: Information extraction from Document images via relation extraction and Natural Language

Recent advancements in the area of Computer Vision with state-of-art Neu...
12/11/2018 ∙ by Vishwanath D, et al. ∙ 0 ∙ share

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Prosocial or Selfish? Agents with different behaviors for Contract Negotiation using Reinforcement Learning

We present an effective technique for training deep learning agents capa...
09/19/2018 ∙ by Vishal Sunder, et al. ∙ 0 ∙ share

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Transfer Learning for Clinical Time Series Analysis using Recurrent Neural Networks

Deep neural networks have shown promising results for various clinical p...
07/04/2018 ∙ by Priyanka Gupta, et al. ∙ 0 ∙ share

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Crop Planning using Stochastic Visual Optimization

As the world population increases and arable land decreases, it becomes ...
10/25/2017 ∙ by Gunjan Sehgal, et al. ∙ 0 ∙ share

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Comparative Benchmarking of Causal Discovery Techniques

In this paper we present a comprehensive view of prominent causal discov...
08/18/2017 ∙ by Karamjit Singh, et al. ∙ 0 ∙ share

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Neuro-symbolic EDA-based Optimisation using ILP-enhanced DBNs

We investigate solving discrete optimisation problems using the estimati...
12/20/2016 ∙ by Sarmimala Saikia, et al. ∙ 0 ∙ share

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Generation of Near-Optimal Solutions Using ILP-Guided Sampling

Our interest in this paper is in optimisation problems that are intracta...
08/03/2016 ∙ by Ashwin Srinivasan, et al. ∙ 0 ∙ share

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LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection

Mechanical devices such as engines, vehicles, aircrafts, etc., are typic...
07/01/2016 ∙ by Pankaj Malhotra, et al. ∙ 0 ∙ share

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Warranty Cost Estimation Using Bayesian Network

All multi-component product manufacturing companies face the problem of ...
11/11/2014 ∙ by Karamjit Singh, et al. ∙ 0 ∙ share

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Gautam Shroff

Featured Co-authors

Ramesh Raskar

Lovekesh Vig

Pankaj Malhotra

Ankit Sharma

Arnab Chatterjee

Ashwin Srinivasan

Ranjitha Prasad

Monika Sharma

Sachin Lodha

Jyoti Narwariya

Puneet Agarwal

Batch-Constrained Distributional Reinforcement Learning for Session-based Recommendation

Hi-CI: Deep Causal Inference in High Dimensions

Handling Variable-Dimensional Time Series with Graph Neural Networks

Graph Neural Networks for Leveraging Industrial Equipment Structure: An application to Remaining Useful Life Estimation

MultiMBNN: Matched and Balanced Causal Inference with Neural Networks

Privacy Guidelines for Contact Tracing Applications

MetaCI: Meta-Learning for Causal Inference in a Heterogeneous Population

Meta-Learning for Few-Shot Time Series Classification

NISER: Normalized Item and Session Representations with Graph Neural Networks

Meta-Learning for Black-box Optimization

One-shot Information Extraction from Document Images using Neuro-Deductive Program Synthesis

Fast Online "Next Best Offers" using Deep Learning

ConvTimeNet: A Pre-trained Deep Convolutional Neural Network for Time Series Classification

Transfer Learning for Clinical Time Series Analysis using Deep Neural Networks

Data-driven Prognostics with Predictive Uncertainty Estimation using Ensemble of Deep Ordinal Regression Models

MEETING BOT: Reinforcement Learning for Dialogue Based Meeting Scheduling

Deep Reader: Information extraction from Document images via relation extraction and Natural Language

Prosocial or Selfish? Agents with different behaviors for Contract Negotiation using Reinforcement Learning

Transfer Learning for Clinical Time Series Analysis using Recurrent Neural Networks

Crop Planning using Stochastic Visual Optimization

Comparative Benchmarking of Causal Discovery Techniques

Neuro-symbolic EDA-based Optimisation using ILP-enhanced DBNs

Generation of Near-Optimal Solutions Using ILP-Guided Sampling

LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection

Warranty Cost Estimation Using Bayesian Network