A. De

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Learning Opinion Dynamics in Social Networks

Manuel Gomez Rodriguez, I. Valera, A. De, 2015 .

Deep Reinforcement Learning of Marked Temporal Point Processes pdf

Utkarsh Upadhyay, Manuel Gomez-Rodriguez, Abir De, 2018, NeurIPS.

Long Horizon Forecasting with Temporal Point Processes pdf

Sunita Sarawagi, Abir De, Prathamesh Deshpande, 2021, WSDM.

Regression Under Human Assistance

M. Gomez-Rodriguez, A. De, Niloy Ganguly, 2019, AAAI.

Stochastic Optimal Control of Epidemic Processes in Networks pdf

Utkarsh Upadhyay, Manuel Gomez-Rodriguez, Samir Bhatt, 2018, ArXiv.

Subset Selection in Machine Learning: Theory, Applications, and Hands On

Rishabh K. Iyer, J. Bilmes, A. De, 2022 .

Modeling Continuous Time Sequences with Intermittent Observations using Marked Temporal Point Processes

Srikanta J. Bedathur, A. De, Sourangshu Bhattacharya, 2022, ACM Transactions on Intelligent Systems and Technology.

Neural Estimation of Submodular Functions with Applications to Differentiable Subset Selection

Soumen Chakrabarti, A. De, 2022, NeurIPS.

Maximum Common Subgraph Guided Graph Retrieval: Late and Early Interaction Networks

Soumen Chakrabarti, A. De, Indradyumna Roy, 2022, NeurIPS.

Modeling Continuous Time Sequences with Intermittent Observations using Marked Temporal Point Processes

Srikanta J. Bedathur, A. De, Sourangshu Bhattacharya, 2022, ACM Trans. Intell. Syst. Technol..

Cheshire: An Online Algorithm for Activity Maximization in Social Networks pdf

Hamid R. Rabiee, Manuel Gomez-Rodriguez, Abir De, 2017, ArXiv.

Can A User Guess What Her Followers Want?

Utkarsh Upadhyay, Adish Singla, Manuel Gomez-Rodriguez, 2019, WSDM.

STRM: A sister tweet reinforcement process for modeling hashtag popularity

Niloy Ganguly, Abir De, Bidisha Samanta, 2017, IEEE INFOCOM 2017 - IEEE Conference on Computer Communications.

NeVAE: A Deep Generative Model for Molecular Graphs

Niloy Ganguly, Abir De, Bidisha Samanta, 2018, AAAI.

Temporal Point Processes

M. Gomez-Rodriguez, U. Upadhyay, A. De, 2018 .

Enhancing human learning via spaced repetition optimization

Bernhard Schölkopf, Utkarsh Upadhyay, Behzad Tabibian, 2019, Proceedings of the National Academy of Sciences.

Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time pdf

Sunita Sarawagi, Vihari Piratla, Abir De, 2021, NeurIPS.

Differentiable Learning Under Triage

M. Gomez-Rodriguez, A. De, Nastaran Okati, 2021, NeurIPS.

Counterfactual Explanations in Sequential Decision Making Under Uncertainty pdf

Manuel Gomez-Rodriguez, Abir De, Stratis Tsirtsis, 2021, NeurIPS.

GRAD-MATCH: Gradient Matching based Data Subset Selection for Efﬁcient Deep Model Training pdf

Rishabh K. Iyer, Baharan Mirzasoleiman, Rishabh Iyer, 2021, ArXiv.

Integrating Transductive and Inductive Embeddings Improves Link Prediction Accuracy

Soumen Chakrabarti, Abir De, Chitrank Gupta, 2021, CIKM.

Adversarial Permutation Guided Node Representations for Link Prediction

Soumen Chakrabarti, Indradyumna Roy, Abir De, 2020, AAAI.

Discriminative Link Prediction using Local, Community, and Global Signals

Niloy Ganguly, Soumen Chakrabarti, Sourav Sarkar, 2016, IEEE Transactions on Knowledge and Data Engineering.

Optimizing Human Learning pdf

Bernhard Schölkopf, Utkarsh Upadhyay, Abir De, 2017, ArXiv.

Global Convergence Using Policy Gradient Methods for Model-free Markovian Jump Linear Quadratic Control

Abir De, Santanu Rathod, Manoj Bhadu, 2021, ArXiv.

Knowlywood: Mining Activity Knowledge From Hollywood Narratives

Gerhard Weikum, Gerard de Melo, Abir De, 2015, CIKM.

Learning Recourse on Instance Environment to Enhance Prediction Accuracy

Sunita Sarawagi, A. De, N. Lokesh, 2022, NeurIPS.

Learning a Linear Influence Model from Transient Opinion Dynamics

Niloy Ganguly, Soumen Chakrabarti, Abir De, 2014, CIKM.

GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training

Rishabh K. Iyer, A. De, Ganesh Ramakrishnan, 2021, ICML.

Pooled testing of traced contacts under superspreading dynamics

M. Gomez-Rodriguez, A. De, Lars Lorch, 2022, PLoS Comput. Biol..

Retrieving Continuous Time Event Sequences using Neural Temporal Point Processes with Learnable Hashing

Srikanta J. Bedathur, A. De, Vinayak Gupta, 2023, ArXiv.

Learning Temporal Point Processes for Efficient Retrieval of Continuous Time Event Sequences

Srikanta J. Bedathur, A. De, Vinayak Gupta, 2022, AAAI.

Learning Temporal Point Processes with Intermittent Observations

Srikanta J. Bedathur, Sourangshu Bhattacharya, Vinayak Gupta, 2021, AISTATS.

VarScene: A Deep Generative Model for Realistic Scene Graph Synthesis

A. De, Vishwa Vinay, Soumen Chakrabarti, 2022, International Conference on Machine Learning.

On the design of consequential ranking algorithms

Bernhard Schölkopf, Vicenç Gómez, Behzad Tabibian, 2020, UAI.

Learning and Forecasting Opinion Dynamics in Social Networks

Niloy Ganguly, Sourangshu Bhattacharya, Isabel Valera, 2015, NIPS.

Learning and Maximizing Influence in Social Networks Under Capacity Constraints

A. De, Sayan Ranu, Krishna Sri Ipsit Mantri, 2023, WSDM.

Interpretable Neural Subgraph Matching for Graph Retrieval

Soumen Chakrabarti, A. De, Indradyumna Roy, 2022, AAAI.

Deep Neural Matching Models for Graph Retrieval

Utkarsh Gupta, Soumen Chakrabarti, Kunal Goyal, 2020, SIGIR.

Learning Network Traffic Dynamics Using Temporal Point Process

Niloy Ganguly, Sandip Chakraborty, Abir De, 2019, IEEE INFOCOM 2019 - IEEE Conference on Computer Communications.

Learning Linear Influence Models in Social Networks from Transient Opinion Dynamics

Niloy Ganguly, Soumen Chakrabarti, Sourangshu Bhattacharya, 2019, ACM Trans. Web.

On the Complexity of Opinions and Online Discussions

Utkarsh Upadhyay, Aasish Pappu, Manuel Gomez-Rodriguez, 2018, WSDM.

SLANT+: A Nonlinear Model for Opinion Dynamics in Social Networks

Niloy Ganguly, Bhushan Kulkarni, Sumit Agarwal, 2017, 2017 IEEE International Conference on Data Mining (ICDM).

LMPP: A Large Margin Point Process Combining Reinforcement and Competition for Modeling Hashtag Popularity

Niloy Ganguly, Abir De, Bidisha Samanta, 2017, IJCAI.

Privacy Preserving Link Prediction with Latent Geometric Network Models pdf

Soumen Chakrabarti, Abir De, Soumen Chakrabarti, 2019, ArXiv.

Differentially Private Link Prediction with Protected Connections

Soumen Chakrabarti, A. De, 2020, AAAI.

Discriminative Link Prediction Using Local Links, Node Features and Community Structure

Niloy Ganguly, Soumen Chakrabarti, Abir De, 2013, 2013 IEEE 13th International Conference on Data Mining.

Classification Under Human Assistance

Manuel Gomez-Rodriguez, Ali Zarezade, Nastaran Okati, 2020, AAAI.

Designing Random Graph Models Using Variational Autoencoders With Applications to Chemical Design pdf

Niloy Ganguly, Abir De, Bidisha Samanta, 2018, ArXiv.

Root locus method for any fractional order commensurate system

Siddhartha Sen, Abir De, A. De, 2011, IEEE Technology Students' Symposium.

Shaping Opinion Dynamics in Social Networks

Niloy Ganguly, Abir De, Sourangshu Bhattacharya, 2018, AAMAS.

Classification Under Human Assistance pdf

Abir De, Manuel Gomez-Rodriguez, Ali Zarezade, 2020, AAAI.