Abir De

According to our database, Abir De authored at least 68 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Continuous Treatment Effect Estimation Using Gradient Interpolation and Kernel Smoothing.

Lokesh Nagalapatti, Akshay Iyer, Abir De, Sunita Sarawagi

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Generator Assisted Mixture of Experts for Feature Acquisition in Batch.

Vedang Asgaonkar, Aditya Jain, Abir De

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

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

Vinayak Gupta, Srikanta Bedathur, Abir De

CoRR, 2023

Learning and Maximizing Influence in Social Networks Under Capacity Constraints.

Pritish Chakraborty, Sayan Ranu, Krishna Sri Ipsit Mantri, Abir De

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Locality Sensitive Hashing in Fourier Frequency Domain For Soft Set Containment Search.

Indradyumna Roy, Rishi Agarwal, Soumen Chakrabarti, Anirban Dasgupta, Abir De

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Efficient Data Subset Selection to Generalize Training Across Models: Transductive and Inductive Networks.

Eeshaan Jain, Tushar Nandy, Gaurav Aggarwal, Ashish Tendulkar, Rishabh K. Iyer, Abir De

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Discrete Continuous Optimization Framework for Simultaneous Clustering and Training in Mixture Models.

Parth Vipul Sangani, Arjun Shashank Kashettiwar, Pritish Chakraborty, Bhuvan Reddy Gangula, Durga Sivasubramanian, Ganesh Ramakrishnan, Rishabh K. Iyer, Abir De

Proceedings of the International Conference on Machine Learning, 2023

Differentiable Change-point Detection With Temporal Point Processes.

Paramita Koley, Harshavardhan Alimi, Shrey Singla, Sourangshu Bhattacharya, Niloy Ganguly, Abir De

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Learning to Switch Among Agents in a Team.

Vahid Balazadeh Meresht, Abir De, Adish Singla, Manuel Gomez Rodriguez

Trans. Mach. Learn. Res., 2022

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

Vinayak Gupta, Srikanta Bedathur, Sourangshu Bhattacharya, Abir De

ACM Trans. Intell. Syst. Technol., 2022

Pooled testing of traced contacts under superspreading dynamics.

Stratis Tsirtsis, Abir De, Lars Lorch, Manuel Gomez-Rodriguez

PLoS Comput. Biol., 2022

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

Indradyumna Roy, Soumen Chakrabarti, Abir De

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Recourse on Instance Environment to Enhance Prediction Accuracy.

Lokesh Nagalapatti, Guntakanti Sai Koushik, Abir De, Sunita Sarawagi

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Neural Estimation of Submodular Functions with Applications to Differentiable Subset Selection.

Abir De, Soumen Chakrabarti

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

VarScene: A Deep Generative Model for Realistic Scene Graph Synthesis.

Tathagat Verma, Abir De, Yateesh Agrawal, Vishwa Vinay, Soumen Chakrabarti

Proceedings of the International Conference on Machine Learning, 2022

Interpretable Neural Subgraph Matching for Graph Retrieval.

Indradyumna Roy, Venkata Sai Baba Reddy Velugoti, Soumen Chakrabarti, Abir De

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

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

Vinayak Gupta, Srikanta Bedathur, Abir De

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Demarcating Endogenous and Exogenous Opinion Dynamics: An Experimental Design Approach.

Paramita Koley, Avirup Saha, Sourangshu Bhattacharya, Niloy Ganguly, Abir De

ACM Trans. Knowl. Discov. Data, 2021

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

Santanu Rathod, Manoj Bhadu, Abir De

CoRR, 2021

Counterfactual Explanations in Sequential Decision Making Under Uncertainty.

Stratis Tsirtsis, Abir De, Manuel Gomez-Rodriguez

CoRR, 2021

Group Testing under Superspreading Dynamics.

Stratis Tsirtsis, Abir De, Lars Lorch, Manuel Gomez-Rodriguez

CoRR, 2021

GRAD-MATCH: A Gradient Matching Based Data Subset Selection for Efficient Learning.

KrishnaTeja Killamsetty, Durga Sivasubramanian, Baharan Mirzasoleiman, Ganesh Ramakrishnan, Abir De, Rishabh K. Iyer

CoRR, 2021

Long Horizon Forecasting with Temporal Point Processes.

Prathamesh Deshpande, Kamlesh Marathe, Abir De, Sunita Sarawagi

Proceedings of the WSDM '21, 2021

Learning to Select Exogenous Events for Marked Temporal Point Process.

Ping Zhang, Rishabh K. Iyer, Ashish Tendulkar, Gaurav Aggarwal, Abir De

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Counterfactual Explanations in Sequential Decision Making Under Uncertainty.

Stratis Tsirtsis, Abir De, Manuel Rodriguez

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Differentiable Learning Under Triage.

Nastaran Okati, Abir De, Manuel Gomez-Rodriguez

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

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

Anshul Nasery, Soumyadeep Thakur, Vihari Piratla, Abir De, Sunita Sarawagi

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Training Data Subset Selection for Regression with Controlled Generalization Error.

Durga Sivasubramanian, Rishabh K. Iyer, Ganesh Ramakrishnan, Abir De

Proceedings of the 38th International Conference on Machine Learning, 2021

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

KrishnaTeja Killamsetty, Durga Sivasubramanian, Ganesh Ramakrishnan, Abir De, Rishabh K. Iyer

Proceedings of the 38th International Conference on Machine Learning, 2021

Integrating Transductive and Inductive Embeddings Improves Link Prediction Accuracy.

Chitrank Gupta, Yash Jain, Abir De, Soumen Chakrabarti

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Learning Temporal Point Processes with Intermittent Observations.

Vinayak Gupta, Srikanta Bedathur, Sourangshu Bhattacharya, Abir De

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Invited Tutorial: Human Assisted ML.

Abir De

Proceedings of the AIMLSystems 2021: The First International Conference on AI-ML-Systems, Bangalore India, October 21, 2021

Adversarial Permutation Guided Node Representations for Link Prediction.

Indradyumna Roy, Abir De, Soumen Chakrabarti

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Classification Under Human Assistance.

Abir De, Nastaran Okati, Ali Zarezade, Manuel Gomez Rodriguez

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Differentially Private Link Prediction with Protected Connections.

Abir De, Soumen Chakrabarti

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

NEVAE: A Deep Generative Model for Molecular Graphs.

Bidisha Samanta, Abir De, Gourhari Jana, Vicenç Gómez, Pratim Kumar Chattaraj, Niloy Ganguly, Manuel Gomez-Rodriguez

J. Mach. Learn. Res., 2020

Learning to Switch Between Machines and Humans.

Vahid Balazadeh Meresht, Abir De, Adish Singla, Manuel Gomez-Rodriguez

CoRR, 2020

Can A User Guess What Her Followers Want?

Abir De, Adish Singla, Utkarsh Upadhyay, Manuel Gomez-Rodriguez

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

On the design of consequential ranking algorithms.

Behzad Tabibian, Vicenç Gómez, Abir De, Bernhard Schölkopf, Manuel Gomez Rodriguez

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Deep Neural Matching Models for Graph Retrieval.

Kunal Goyal, Utkarsh Gupta, Abir De, Soumen Chakrabarti

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Regression under Human Assistance.

Abir De, Paramita Koley, Niloy Ganguly, Manuel Gomez-Rodriguez

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Learning Linear Influence Models in Social Networks from Transient Opinion Dynamics.

Abir De, Sourangshu Bhattacharya, Parantapa Bhattacharya, Niloy Ganguly, Soumen Chakrabarti

ACM Trans. Web, 2019

Can A User Anticipate What Her Followers Want?

Abir De, Adish Singla, Utkarsh Upadhyay, Manuel Gomez-Rodriguez

CoRR, 2019

Privacy Preserving Link Prediction with Latent Geometric Network Models.

Abir De, Soumen Chakrabarti

CoRR, 2019

Consequential Ranking Algorithms and Long-term Welfare.

Behzad Tabibian, Vicenç Gómez, Abir De, Bernhard Schölkopf, Manuel Gomez Rodriguez

CoRR, 2019

On the Complexity of Opinions and Online Discussions.

Utkarsh Upadhyay, Abir De, Aasish Pappu, Manuel Gomez-Rodriguez

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Learning Network Traffic Dynamics Using Temporal Point Process.

Avirup Saha, Niloy Ganguly, Sandip Chakraborty, Abir De

Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

NeVAE: A Deep Generative Model for Molecular Graphs.

Bidisha Samanta, Abir De, Gourhari Jana, Pratim Kumar Chattaraj, Niloy Ganguly, Manuel Gomez Rodriguez

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Stochastic Optimal Control of Epidemic Processes in Networks.

Lars Lorch, Abir De, Samir Bhatt, William Trouleau, Utkarsh Upadhyay, Manuel Gomez-Rodriguez

CoRR, 2018

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

Bidisha Samanta, Abir De, Niloy Ganguly, Manuel Gomez-Rodriguez

CoRR, 2018

Demarcating Endogenous and Exogenous Opinion Diffusion Process on Social Networks.

Abir De, Sourangshu Bhattacharya, Niloy Ganguly

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Deep Reinforcement Learning of Marked Temporal Point Processes.

Utkarsh Upadhyay, Abir De, Manuel Gomez Rodriguez

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

CRPP: Competing Recurrent Point Process for Modeling Visibility Dynamics in Information Diffusion.

Avirup Saha, Bidisha Samanta, Niloy Ganguly, Abir De

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Shaping Opinion Dynamics in Social Networks.

Abir De, Sourangshu Bhattacharya, Niloy Ganguly

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

2017

Steering Social Activity: A Stochastic Optimal Control Point Of View.

Ali Zarezade, Abir De, Utkarsh Upadhyay, Hamid R. Rabiee, Manuel Gomez-Rodriguez

J. Mach. Learn. Res., 2017

Optimizing Human Learning.

Behzad Tabibian, Utkarsh Upadhyay, Abir De, Ali Zarezade, Bernhard Schölkopf, Manuel Gomez-Rodriguez

CoRR, 2017

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

Ali Zarezade, Abir De, Hamid R. Rabiee, Manuel Gomez-Rodriguez

CoRR, 2017

STRM: A sister tweet reinforcement process for modeling hashtag popularity.

Bidisha Samanta, Abir De, Niloy Ganguly

Proceedings of the 2017 IEEE Conference on Computer Communications, 2017

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

Bidisha Samanta, Abir De, Abhijnan Chakraborty, Niloy Ganguly

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

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

Bhushan Kulkarni, Sumit Agarwal, Abir De, Sourangshu Bhattacharya, Niloy Ganguly

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2016

Discriminative Link Prediction using Local, Community, and Global Signals.

Abir De, Sourangshu Bhattacharya, Sourav Sarkar, Niloy Ganguly, Soumen Chakrabarti

IEEE Trans. Knowl. Data Eng., 2016

Learning and Forecasting Opinion Dynamics in Social Networks.

Abir De, Isabel Valera, Niloy Ganguly, Sourangshu Bhattacharya, Manuel Gomez-Rodriguez

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

Modeling Opinion Dynamics in Diffusion Networks.

Abir De, Isabel Valera, Niloy Ganguly, Sourangshu Bhattacharya, Manuel Gomez-Rodriguez

CoRR, 2015

Lights, Camera, Action: Knowledge Extraction from Movie Scripts.

Niket Tandon, Gerhard Weikum, Gerard de Melo, Abir De

Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Knowlywood: Mining Activity Knowledge From Hollywood Narratives.

Niket Tandon, Gerard de Melo, Abir De, Gerhard Weikum

Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014

Learning a Linear Influence Model from Transient Opinion Dynamics.

Abir De, Sourangshu Bhattacharya, Parantapa Bhattacharya, Niloy Ganguly, Soumen Chakrabarti

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013

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

Abir De, Niloy Ganguly, Soumen Chakrabarti

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012

Local learning of item dissimilarity using content and link structure.

Abir De, Maunendra Sankar Desarkar, Niloy Ganguly, Pabitra Mitra

Proceedings of the Sixth ACM Conference on Recommender Systems, 2012