Abir De

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 83

Top Topics

Social Networks

Simultaneous Clustering

Maximum Common Subgraph

Point Processes

Top Venues

Publications

Lokesh Nagalapatti, Akshay Iyer, Abir De, Sunita Sarawagi
Continuous Treatment Effect Estimation Using Gradient Interpolation and Kernel Smoothing. CoRR (2024)
Lokesh Nagalapatti, Akshay Iyer, Abir De, Sunita Sarawagi
Continuous Treatment Effect Estimation Using Gradient Interpolation and Kernel Smoothing. AAAI (2024)
Vedang Asgaonkar, Aditya Jain, Abir De
Generator Assisted Mixture of Experts for Feature Acquisition in Batch. AAAI (2024)
Indradyumna Roy, Rishi Agarwal, Soumen Chakrabarti, Anirban Dasgupta, Abir De
Locality Sensitive Hashing in Fourier Frequency Domain For Soft Set Containment Search. NeurIPS (2023)
Eeshaan Jain, Tushar Nandy, Gaurav Aggarwal, Ashish Tendulkar, Rishabh K. Iyer, Abir De
Efficient Data Subset Selection to Generalize Training Across Models: Transductive and Inductive Networks. NeurIPS (2023)
Vinayak Gupta, Srikanta Bedathur, Abir De
Retrieving Continuous Time Event Sequences using Neural Temporal Point Processes with Learnable Hashing. CoRR (2023)
Pritish Chakraborty, Sayan Ranu, Krishna Sri Ipsit Mantri, Abir De
Learning and Maximizing Influence in Social Networks Under Capacity Constraints. WSDM (2023)
Parth Vipul Sangani, Arjun Shashank Kashettiwar, Pritish Chakraborty, Bhuvan Reddy Gangula, Durga Sivasubramanian, Ganesh Ramakrishnan, Rishabh K. Iyer, Abir De
Discrete Continuous Optimization Framework for Simultaneous Clustering and Training in Mixture Models. ICML (2023)
Vedang Asgaonkar, Aditya Jain, Abir De
Generator Assisted Mixture of Experts For Feature Acquisition in Batch. CoRR (2023)
Paramita Koley, Harshavardhan Alimi, Shrey Singla, Sourangshu Bhattacharya, Niloy Ganguly, Abir De
Differentiable Change-point Detection With Temporal Point Processes. AISTATS (2023)
Indradyumna Roy, Soumen Chakrabarti, Abir De
Maximum Common Subgraph Guided Graph Retrieval: Late and Early Interaction Networks. CoRR (2022)
Vinayak Gupta, Srikanta Bedathur, Abir De
Learning Temporal Point Processes for Efficient Retrieval of Continuous Time Event Sequences. CoRR (2022)
Vahid Balazadeh Meresht, Abir De, Adish Singla, Manuel Gomez Rodriguez
Learning to Switch Among Agents in a Team. Trans. Mach. Learn. Res. 2022 (2022)
Stratis Tsirtsis, Abir De, Lars Lorch, Manuel Gomez-Rodriguez
Pooled testing of traced contacts under superspreading dynamics. PLoS Comput. Biol. 18 (3) (2022)
Indradyumna Roy, Soumen Chakrabarti, Abir De
Maximum Common Subgraph Guided Graph Retrieval: Late and Early Interaction Networks. NeurIPS (2022)
Lokesh N, Guntakanti Sai Koushik, Abir De, Sunita Sarawagi
Learning Recourse on Instance Environment to Enhance Prediction Accuracy. NeurIPS (2022)
Tathagat Verma, Abir De, Yateesh Agrawal, Vishwa Vinay, Soumen Chakrabarti
VarScene: A Deep Generative Model for Realistic Scene Graph Synthesis. ICML (2022)
Abir De, Soumen Chakrabarti
Neural Estimation of Submodular Functions with Applications to Differentiable Subset Selection. CoRR (2022)
Vinayak Gupta, Srikanta Bedathur, Sourangshu Bhattacharya, Abir De
Modeling Continuous Time Sequences with Intermittent Observations using Marked Temporal Point Processes. ACM Trans. Intell. Syst. Technol. 13 (6) (2022)
Vinayak Gupta, Srikanta Bedathur, Sourangshu Bhattacharya, Abir De
Modeling Continuous Time Sequences with Intermittent Observations using Marked Temporal Point Processes. CoRR (2022)
Vinayak Gupta, Srikanta Bedathur, Abir De
Learning Temporal Point Processes for Efficient Retrieval of Continuous Time Event Sequences. AAAI (2022)
Indradyumna Roy, Venkata Sai Baba Reddy Velugoti, Soumen Chakrabarti, Abir De
Interpretable Neural Subgraph Matching for Graph Retrieval. AAAI (2022)
Abir De, Soumen Chakrabarti
Neural Estimation of Submodular Functions with Applications to Differentiable Subset Selection. NeurIPS (2022)
Prathamesh Deshpande, Kamlesh Marathe, Abir De, Sunita Sarawagi
Long Horizon Forecasting With Temporal Point Processes. CoRR (2021)
Nastaran Okati, Abir De, Manuel Gomez-Rodriguez
Differentiable Learning Under Triage. CoRR (2021)
Stratis Tsirtsis, Abir De, Manuel Gomez-Rodriguez
Counterfactual Explanations in Sequential Decision Making Under Uncertainty. CoRR (2021)
Paramita Koley, Avirup Saha, Sourangshu Bhattacharya, Niloy Ganguly, Abir De
Demarcating Endogenous and Exogenous Opinion Dynamics: An Experimental Design Approach. ACM Trans. Knowl. Discov. Data 15 (6) (2021)
Durga Sivasubramanian, Rishabh K. Iyer, Ganesh Ramakrishnan, Abir De
Training Data Subset Selection for Regression with Controlled Generalization Error. CoRR (2021)
Abir De, Nastaran Okati, Ali Zarezade, Manuel Gomez Rodriguez
Classification Under Human Assistance. AAAI (2021)
Abir De
Invited Tutorial: Human Assisted ML. AIMLSystems (2021)
Abir De, Soumen Chakrabarti
Differentially Private Link Prediction with Protected Connections. AAAI (2021)
KrishnaTeja Killamsetty, Durga Sivasubramanian, Baharan Mirzasoleiman, Ganesh Ramakrishnan, Abir De, Rishabh K. Iyer
GRAD-MATCH: A Gradient Matching Based Data Subset Selection for Efficient Learning. CoRR (2021)
Prathamesh Deshpande, Kamlesh Marathe, Abir De, Sunita Sarawagi
Long Horizon Forecasting with Temporal Point Processes. WSDM (2021)
Chitrank Gupta, Yash Jain, Abir De, Soumen Chakrabarti
Integrating Transductive and Inductive Embeddings Improves Link Prediction Accuracy. CIKM (2021)
Stratis Tsirtsis, Abir De, Manuel Rodriguez
Counterfactual Explanations in Sequential Decision Making Under Uncertainty. NeurIPS (2021)
Anshul Nasery, Soumyadeep Thakur, Vihari Piratla, Abir De, Sunita Sarawagi
Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time. NeurIPS (2021)
Vinayak Gupta, Srikanta Bedathur, Sourangshu Bhattacharya, Abir De
Learning Temporal Point Processes with Intermittent Observations. AISTATS (2021)
Chitrank Gupta, Yash Jain, Abir De, Soumen Chakrabarti
Integrating Transductive And Inductive Embeddings Improves Link Prediction Accuracy. CoRR (2021)
Anshul Nasery, Soumyadeep Thakur, Vihari Piratla, Abir De, Sunita Sarawagi
Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time. CoRR (2021)
Ping Zhang, Rishabh K. Iyer, Ashish Tendulkar, Gaurav Aggarwal, Abir De
Learning to Select Exogenous Events for Marked Temporal Point Process. NeurIPS (2021)
Stratis Tsirtsis, Abir De, Lars Lorch, Manuel Gomez-Rodriguez
Group Testing under Superspreading Dynamics. CoRR (2021)
Durga Sivasubramanian, Rishabh K. Iyer, Ganesh Ramakrishnan, Abir De
Training Data Subset Selection for Regression with Controlled Generalization Error. ICML (2021)
Paramita Koley, Avirup Saha, Sourangshu Bhattacharya, Niloy Ganguly, Abir De
Demarcating Endogenous and Exogenous Opinion Dynamics: An Experimental Design Approach. CoRR (2021)
KrishnaTeja Killamsetty, Durga Sivasubramanian, Ganesh Ramakrishnan, Abir De, Rishabh K. Iyer
GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training. ICML (2021)
Santanu Rathod, Manoj Bhadu, Abir De
Global Convergence Using Policy Gradient Methods for Model-free Markovian Jump Linear Quadratic Control. CoRR (2021)
Indradyumna Roy, Abir De, Soumen Chakrabarti
Adversarial Permutation Guided Node Representations for Link Prediction. AAAI (2021)
Nastaran Okati, Abir De, Manuel Gomez-Rodriguez
Differentiable Learning Under Triage. NeurIPS (2021)
Indradyumna Roy, Abir De, Soumen Chakrabarti
Adversarial Permutation Guided Node Representations for Link Prediction. CoRR (2020)
Abir De, Paramita Koley, Niloy Ganguly, Manuel Gomez-Rodriguez
Regression under Human Assistance. AAAI (2020)
Abir De, Nastaran Okati, Ali Zarezade, Manuel Gomez-Rodriguez
Classification Under Human Assistance. CoRR (2020)
Bidisha Samanta, Abir De, Gourhari Jana, Vicenç Gómez, Pratim Kumar Chattaraj, Niloy Ganguly, Manuel Gomez-Rodriguez
NEVAE: A Deep Generative Model for Molecular Graphs. J. Mach. Learn. Res. 21 (2020)
Behzad Tabibian, Vicenç Gómez, Abir De, Bernhard Schölkopf, Manuel Gomez Rodriguez
On the design of consequential ranking algorithms. UAI (2020)
Vahid Balazadeh Meresht, Abir De, Adish Singla, Manuel Gomez-Rodriguez
Learning to Switch Between Machines and Humans. CoRR (2020)
Abir De, Adish Singla, Utkarsh Upadhyay, Manuel Gomez-Rodriguez
Can A User Guess What Her Followers Want? WSDM (2020)
Kunal Goyal, Utkarsh Gupta, Abir De, Soumen Chakrabarti
Deep Neural Matching Models for Graph Retrieval. SIGIR (2020)
Behzad Tabibian, Vicenç Gómez, Abir De, Bernhard Schölkopf, Manuel Gomez Rodriguez
Consequential Ranking Algorithms and Long-term Welfare. CoRR (2019)
Utkarsh Upadhyay, Abir De, Aasish Pappu, Manuel Gomez-Rodriguez
On the Complexity of Opinions and Online Discussions. WSDM (2019)
Abir De, Adish Singla, Utkarsh Upadhyay, Manuel Gomez-Rodriguez
Can A User Anticipate What Her Followers Want? CoRR (2019)
Abir De, Paramita Koley, Niloy Ganguly, Manuel Gomez-Rodriguez
Regression Under Human Assistance. CoRR (2019)
Bidisha Samanta, Abir De, Gourhari Jana, Pratim Kumar Chattaraj, Niloy Ganguly, Manuel Gomez Rodriguez
NeVAE: A Deep Generative Model for Molecular Graphs. AAAI (2019)
Avirup Saha, Niloy Ganguly, Sandip Chakraborty, Abir De
Learning Network Traffic Dynamics Using Temporal Point Process. INFOCOM (2019)
Abir De, Soumen Chakrabarti
Privacy Preserving Link Prediction with Latent Geometric Network Models. CoRR (2019)
Abir De, Sourangshu Bhattacharya, Parantapa Bhattacharya, Niloy Ganguly, Soumen Chakrabarti
Learning Linear Influence Models in Social Networks from Transient Opinion Dynamics. ACM Trans. Web 13 (3) (2019)
Avirup Saha, Bidisha Samanta, Niloy Ganguly, Abir De
CRPP: Competing Recurrent Point Process for Modeling Visibility Dynamics in Information Diffusion. CIKM (2018)
Utkarsh Upadhyay, Abir De, Manuel Gomez Rodriguez
Deep Reinforcement Learning of Marked Temporal Point Processes. NeurIPS (2018)
Ali Zarezade, Abir De, Utkarsh Upadhyay, Hamid R. Rabiee, Manuel Gomez-Rodriguez
Steering Social Activity: A Stochastic Optimal Control Point Of View. CoRR (2018)
Lars Lorch, Abir De, Samir Bhatt, William Trouleau, Utkarsh Upadhyay, Manuel Gomez-Rodriguez
Stochastic Optimal Control of Epidemic Processes in Networks. CoRR (2018)
Bidisha Samanta, Abir De, Niloy Ganguly, Manuel Gomez-Rodriguez
Designing Random Graph Models Using Variational Autoencoders With Applications to Chemical Design. CoRR (2018)
Utkarsh Upadhyay, Abir De, Manuel Gomez-Rodriguez
Deep Reinforcement Learning of Marked Temporal Point Processes. CoRR (2018)
Abir De, Sourangshu Bhattacharya, Niloy Ganguly
Demarcating Endogenous and Exogenous Opinion Diffusion Process on Social Networks. WWW (2018)
Abir De, Sourangshu Bhattacharya, Niloy Ganguly
Shaping Opinion Dynamics in Social Networks. AAMAS (2018)
Utkarsh Upadhyay, Abir De, Aasish Pappu, Manuel Gomez-Rodriguez
On the Complexity of Opinions and Online Discussions. CoRR (2018)
Bidisha Samanta, Abir De, Niloy Ganguly
STRM: A sister tweet reinforcement process for modeling hashtag popularity. INFOCOM (2017)
Ali Zarezade, Abir De, Hamid R. Rabiee, Manuel Gomez-Rodriguez
Cheshire: An Online Algorithm for Activity Maximization in Social Networks. CoRR (2017)
Bhushan Kulkarni, Sumit Agarwal, Abir De, Sourangshu Bhattacharya, Niloy Ganguly
SLANT+: A Nonlinear Model for Opinion Dynamics in Social Networks. ICDM (2017)
Behzad Tabibian, Utkarsh Upadhyay, Abir De, Ali Zarezade, Bernhard Schölkopf, Manuel Gomez-Rodriguez
Optimizing Human Learning. CoRR (2017)
Bidisha Samanta, Abir De, Abhijnan Chakraborty, Niloy Ganguly
LMPP: A Large Margin Point Process Combining Reinforcement and Competition for Modeling Hashtag Popularity. IJCAI (2017)
Ali Zarezade, Abir De, Utkarsh Upadhyay, Hamid R. Rabiee, Manuel Gomez-Rodriguez
Steering Social Activity: A Stochastic Optimal Control Point Of View. J. Mach. Learn. Res. 18 (2017)
Abir De, Isabel Valera, Niloy Ganguly, Sourangshu Bhattacharya, Manuel Gomez-Rodriguez
Learning and Forecasting Opinion Dynamics in Social Networks. NIPS (2016)
Abir De, Sourangshu Bhattacharya, Sourav Sarkar, Niloy Ganguly, Soumen Chakrabarti
Discriminative Link Prediction using Local, Community, and Global Signals. IEEE Trans. Knowl. Data Eng. 28 (8) (2016)
Niket Tandon, Gerhard Weikum, Gerard de Melo, Abir De
Lights, Camera, Action: Knowledge Extraction from Movie Scripts. WWW (Companion Volume) (2015)
Abir De, Isabel Valera, Niloy Ganguly, Sourangshu Bhattacharya, Manuel Gomez-Rodriguez
Modeling Opinion Dynamics in Diffusion Networks. CoRR (2015)
Niket Tandon, Gerard de Melo, Abir De, Gerhard Weikum
Knowlywood: Mining Activity Knowledge From Hollywood Narratives. CIKM (2015)
Abir De, Sourangshu Bhattacharya, Parantapa Bhattacharya, Niloy Ganguly, Soumen Chakrabarti
Learning a Linear Influence Model from Transient Opinion Dynamics. CIKM (2014)
Abir De, Niloy Ganguly, Soumen Chakrabarti
Discriminative Link Prediction using Local Links, Node Features and Community Structure. CoRR (2013)
Abir De, Niloy Ganguly, Soumen Chakrabarti
Discriminative Link Prediction Using Local Links, Node Features and Community Structure. ICDM (2013)
Abir De, Maunendra Sankar Desarkar, Niloy Ganguly, Pabitra Mitra
Local learning of item dissimilarity using content and link structure. RecSys (2012)