Abir De - RankMe

103 papers A* 36A 14Journal 49Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Charting the Design Space of Neural Graph Representations for Subgraph Matching. ICLR Vaibhav Raj, Indradyumna Roy, Ashwin Ramachandran, Soumen Chakrabarti, Abir De
2025	J	`jnl`	Charting the Design Space of Neural Graph Representations for Subgraph Matching. CoRR Vaibhav Raj, Indradyumna Roy, Ashwin Ramachandran, Soumen Chakrabarti, Abir De
2025	A*	`conf`	Clique Number Estimation via Differentiable Functions of Adjacency Matrix Permutations. ICLR Indradyumna Roy, Eeshaan Jain, Soumen Chakrabarti, Abir De
2025	J	`jnl`	Contextual Tokenization for Graph Inverted Indices. CoRR Pritish Chakraborty, Indradyumna Roy, Soumen Chakrabarti, Abir De
2025	A*	`conf`	Differentiable Adversarial Attacks for Marked Temporal Point Processes. AAAI Pritish Chakraborty, Vinayak Gupta, Rahul R, Srikanta J. Bedathur, Abir De
2025	J	`jnl`	Differentiable Adversarial Attacks for Marked Temporal Point Processes. CoRR Pritish Chakraborty, Vinayak Gupta, Rahul R, Srikanta J. Bedathur, Abir De
2025	J	`jnl`	Iteratively Refined Early Interaction Alignment for Subgraph Matching based Graph Retrieval. CoRR Ashwin Ramachandran, Vaibhav Raj, Indrayumna Roy, Soumen Chakrabarti, Abir De
2025	A*	`conf`	Learning Condensed Graph via Differentiable Atom Mapping for Reaction Yield Prediction. ICML Ankit Ghosh, Gargee Kashyap, Sarthak Mittal, Nupur Jain, Raghavan B. Sunoj, Abir De
2025	J	`jnl`	Monotone and Separable Set Functions: Characterizations and Neural Models. CoRR Soutrik Sarangi, Yonatan Sverdlov, Nadav Dym, Abir De
2025	—	`conf`	Position: Graph Matching Systems Deserve Better Benchmarks. ICML (Position Papers) Indradyumna Roy, Saswat Meher, Eeshaan Jain, Soumen Chakrabarti, Abir De
2025	A	`conf`	Retrieval of Graph Structured Objects: Theory and Applications. CIKM Indradyumna Roy, Soumen Chakrabarti, Abir De
2025	J	`jnl`	Retrieving Continuous-Time Event Sequences Using Neural Temporal Point Processes with Learnable Hashing. ACM Trans. Intell. Syst. Technol. Vinayak Gupta, Srikanta Bedathur, Abir De
2024	A*	`conf`	Continuous Treatment Effect Estimation Using Gradient Interpolation and Kernel Smoothing. AAAI Lokesh Nagalapatti, Akshay Iyer, Abir De, Sunita Sarawagi
2024	J	`jnl`	Continuous Treatment Effect Estimation Using Gradient Interpolation and Kernel Smoothing. CoRR Lokesh Nagalapatti, Akshay Iyer, Abir De, Sunita Sarawagi
2024	J	`jnl`	Efficient Data Subset Selection to Generalize Training Across Models: Transductive and Inductive Networks. CoRR Eeshaan Jain, Tushar Nandy, Gaurav Aggarwal, Ashish Tendulkar, Rishabh K. Iyer, Abir De
2024	A*	`conf`	Generator Assisted Mixture of Experts for Feature Acquisition in Batch. AAAI Vedang Asgaonkar, Aditya Jain, Abir De
2024	A*	`conf`	Graph Edit Distance with General Costs Using Neural Set Divergence. NeurIPS Eeshaan Jain, Indradyumna Roy, Saswat Meher, Soumen Chakrabarti, Abir De
2024	J	`jnl`	Graph Edit Distance with General Costs Using Neural Set Divergence. CoRR Eeshaan Jain, Indradyumna Roy, Saswat Meher, Soumen Chakrabarti, Abir De
2024	A*	`conf`	Iteratively Refined Early Interaction Alignment for Subgraph Matching based Graph Retrieval. NeurIPS Ashwin Ramachandran, Vaibhav Raj, Indradyumna Roy, Soumen Chakrabarti, Abir De
2023	A	`conf`	Differentiable Change-point Detection With Temporal Point Processes. AISTATS Paramita Koley, Harshavardhan Alimi, Shrey Singla, Sourangshu Bhattacharya, Niloy Ganguly, Abir De
2023	A*	`conf`	Discrete Continuous Optimization Framework for Simultaneous Clustering and Training in Mixture Models. ICML Parth Vipul Sangani, Arjun Shashank Kashettiwar, Pritish Chakraborty, Bhuvan Reddy Gangula, Durga Sivasubramanian, Ganesh Ramakrishnan, Rishabh K. Iyer, Abir De
2023	A*	`conf`	Efficient Data Subset Selection to Generalize Training Across Models: Transductive and Inductive Networks. NeurIPS Eeshaan Jain, Tushar Nandy, Gaurav Aggarwal, Ashish Tendulkar, Rishabh K. Iyer, Abir De
2023	J	`jnl`	Generator Assisted Mixture of Experts For Feature Acquisition in Batch. CoRR Vedang Asgaonkar, Aditya Jain, Abir De
2023	A	`conf`	Learning and Maximizing Influence in Social Networks Under Capacity Constraints. WSDM Pritish Chakraborty, Sayan Ranu, Krishna Sri Ipsit Mantri, Abir De
2023	A*	`conf`	Locality Sensitive Hashing in Fourier Frequency Domain For Soft Set Containment Search. NeurIPS Indradyumna Roy, Rishi Agarwal, Soumen Chakrabarti, Anirban Dasgupta, Abir De
2023	J	`jnl`	Retrieving Continuous Time Event Sequences using Neural Temporal Point Processes with Learnable Hashing. CoRR Vinayak Gupta, Srikanta Bedathur, Abir De
2022	A*	`conf`	Interpretable Neural Subgraph Matching for Graph Retrieval. AAAI Indradyumna Roy, Venkata Sai Baba Reddy Velugoti, Soumen Chakrabarti, Abir De
2022	A*	`conf`	Learning Recourse on Instance Environment to Enhance Prediction Accuracy. NeurIPS Lokesh Nagalapatti, Guntakanti Sai Koushik, Abir De, Sunita Sarawagi
2022	A*	`conf`	Learning Temporal Point Processes for Efficient Retrieval of Continuous Time Event Sequences. AAAI Vinayak Gupta, Srikanta Bedathur, Abir De
2022	J	`jnl`	Learning Temporal Point Processes for Efficient Retrieval of Continuous Time Event Sequences. CoRR Vinayak Gupta, Srikanta Bedathur, Abir De
2022	J	`jnl`	Learning to Switch Among Agents in a Team. Trans. Mach. Learn. Res. Vahid Balazadeh Meresht, Abir De, Adish Singla, Manuel Gomez Rodriguez
2022	A*	`conf`	Maximum Common Subgraph Guided Graph Retrieval: Late and Early Interaction Networks. NeurIPS Indradyumna Roy, Soumen Chakrabarti, Abir De
2022	J	`jnl`	Maximum Common Subgraph Guided Graph Retrieval: Late and Early Interaction Networks. CoRR Indradyumna Roy, Soumen Chakrabarti, Abir De
2022	J	`jnl`	Modeling Continuous Time Sequences with Intermittent Observations using Marked Temporal Point Processes. CoRR Vinayak Gupta, Srikanta Bedathur, Sourangshu Bhattacharya, Abir De
2022	J	`jnl`	Modeling Continuous Time Sequences with Intermittent Observations using Marked Temporal Point Processes. ACM Trans. Intell. Syst. Technol. Vinayak Gupta, Srikanta Bedathur, Sourangshu Bhattacharya, Abir De
2022	A*	`conf`	Neural Estimation of Submodular Functions with Applications to Differentiable Subset Selection. NeurIPS Abir De, Soumen Chakrabarti
2022	J	`jnl`	Neural Estimation of Submodular Functions with Applications to Differentiable Subset Selection. CoRR Abir De, Soumen Chakrabarti
2022	J	`jnl`	Pooled testing of traced contacts under superspreading dynamics. PLoS Comput. Biol. Stratis Tsirtsis, Abir De, Lars Lorch, Manuel Gomez-Rodriguez
2022	A*	`conf`	VarScene: A Deep Generative Model for Realistic Scene Graph Synthesis. ICML Tathagat Verma, Abir De, Yateesh Agrawal, Vishwa Vinay, Soumen Chakrabarti
2021	A*	`conf`	Adversarial Permutation Guided Node Representations for Link Prediction. AAAI Indradyumna Roy, Abir De, Soumen Chakrabarti
2021	A*	`conf`	Classification Under Human Assistance. AAAI Abir De, Nastaran Okati, Ali Zarezade, Manuel Gomez Rodriguez
2021	A*	`conf`	Counterfactual Explanations in Sequential Decision Making Under Uncertainty. NeurIPS Stratis Tsirtsis, Abir De, Manuel Gomez Rodriguez
2021	J	`jnl`	Counterfactual Explanations in Sequential Decision Making Under Uncertainty. CoRR Stratis Tsirtsis, Abir De, Manuel Gomez-Rodriguez
2021	J	`jnl`	Demarcating Endogenous and Exogenous Opinion Dynamics: An Experimental Design Approach. CoRR Paramita Koley, Avirup Saha, Sourangshu Bhattacharya, Niloy Ganguly, Abir De
2021	J	`jnl`	Demarcating Endogenous and Exogenous Opinion Dynamics: An Experimental Design Approach. ACM Trans. Knowl. Discov. Data Paramita Koley, Avirup Saha, Sourangshu Bhattacharya, Niloy Ganguly, Abir De
2021	A*	`conf`	Differentiable Learning Under Triage. NeurIPS Nastaran Okati, Abir De, Manuel Gomez-Rodriguez
2021	J	`jnl`	Differentiable Learning Under Triage. CoRR Nastaran Okati, Abir De, Manuel Gomez-Rodriguez
2021	A*	`conf`	Differentially Private Link Prediction with Protected Connections. AAAI Abir De, Soumen Chakrabarti
2021	J	`jnl`	GRAD-MATCH: A Gradient Matching Based Data Subset Selection for Efficient Learning. CoRR Krishnateja Killamsetty, Durga Sivasubramanian, Baharan Mirzasoleiman, Ganesh Ramakrishnan, Abir De, Rishabh K. Iyer
2021	A*	`conf`	GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training. ICML Krishnateja Killamsetty, Durga Sivasubramanian, Ganesh Ramakrishnan, Abir De, Rishabh K. Iyer
2021	J	`jnl`	Global Convergence Using Policy Gradient Methods for Model-free Markovian Jump Linear Quadratic Control. CoRR Santanu Rathod, Manoj Bhadu, Abir De
2021	J	`jnl`	Group Testing under Superspreading Dynamics. CoRR Stratis Tsirtsis, Abir De, Lars Lorch, Manuel Gomez-Rodriguez
2021	J	`jnl`	Integrating Transductive And Inductive Embeddings Improves Link Prediction Accuracy. CoRR Chitrank Gupta, Yash Jain, Abir De, Soumen Chakrabarti
2021	A	`conf`	Integrating Transductive and Inductive Embeddings Improves Link Prediction Accuracy. CIKM Chitrank Gupta, Yash Jain, Abir De, Soumen Chakrabarti
2021	—	`conf`	Invited Tutorial: Human Assisted ML. AIMLSystems Abir De
2021	A	`conf`	Learning Temporal Point Processes with Intermittent Observations. AISTATS Vinayak Gupta, Srikanta Bedathur, Sourangshu Bhattacharya, Abir De
2021	A*	`conf`	Learning to Select Exogenous Events for Marked Temporal Point Process. NeurIPS Ping Zhang, Rishabh K. Iyer, Ashish Tendulkar, Gaurav Aggarwal, Abir De
2021	J	`jnl`	Long Horizon Forecasting With Temporal Point Processes. CoRR Prathamesh Deshpande, Kamlesh Marathe, Abir De, Sunita Sarawagi
2021	A	`conf`	Long Horizon Forecasting with Temporal Point Processes. WSDM Prathamesh Deshpande, Kamlesh Marathe, Abir De, Sunita Sarawagi
2021	A*	`conf`	Training Data Subset Selection for Regression with Controlled Generalization Error. ICML Durga Sivasubramanian, Rishabh K. Iyer, Ganesh Ramakrishnan, Abir De
2021	J	`jnl`	Training Data Subset Selection for Regression with Controlled Generalization Error. CoRR Durga Sivasubramanian, Rishabh K. Iyer, Ganesh Ramakrishnan, Abir De
2021	A*	`conf`	Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time. NeurIPS Anshul Nasery, Soumyadeep Thakur, Vihari Piratla, Abir De, Sunita Sarawagi
2021	J	`jnl`	Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time. CoRR Anshul Nasery, Soumyadeep Thakur, Vihari Piratla, Abir De, Sunita Sarawagi
2020	J	`jnl`	Adversarial Permutation Guided Node Representations for Link Prediction. CoRR Indradyumna Roy, Abir De, Soumen Chakrabarti
2020	A	`conf`	Can A User Guess What Her Followers Want? WSDM Abir De, Adish Singla, Utkarsh Upadhyay, Manuel Gomez-Rodriguez
2020	J	`jnl`	Classification Under Human Assistance. CoRR Abir De, Nastaran Okati, Ali Zarezade, Manuel Gomez-Rodriguez
2020	A*	`conf`	Deep Neural Matching Models for Graph Retrieval. SIGIR Kunal Goyal, Utkarsh Gupta, Abir De, Soumen Chakrabarti
2020	J	`jnl`	Learning to Switch Between Machines and Humans. CoRR Vahid Balazadeh Meresht, Abir De, Adish Singla, Manuel Gomez-Rodriguez
2020	J	`jnl`	NEVAE: A Deep Generative Model for Molecular Graphs. J. Mach. Learn. Res. Bidisha Samanta, Abir De, Gourhari Jana, Vicenç Gómez, Pratim Kumar Chattaraj, Niloy Ganguly, Manuel Gomez-Rodriguez
2020	A	`conf`	On the design of consequential ranking algorithms. UAI Behzad Tabibian, Vicenç Gómez, Abir De, Bernhard Schölkopf, Manuel Gomez Rodriguez
2020	A*	`conf`	Regression under Human Assistance. AAAI Abir De, Paramita Koley, Niloy Ganguly, Manuel Gomez-Rodriguez
2019	J	`jnl`	Can A User Anticipate What Her Followers Want? CoRR Abir De, Adish Singla, Utkarsh Upadhyay, Manuel Gomez-Rodriguez
2019	J	`jnl`	Consequential Ranking Algorithms and Long-term Welfare. CoRR Behzad Tabibian, Vicenç Gómez, Abir De, Bernhard Schölkopf, Manuel Gomez Rodriguez
2019	J	`jnl`	Learning Linear Influence Models in Social Networks from Transient Opinion Dynamics. ACM Trans. Web Abir De, Sourangshu Bhattacharya, Parantapa Bhattacharya, Niloy Ganguly, Soumen Chakrabarti
2019	A*	`conf`	Learning Network Traffic Dynamics Using Temporal Point Process. INFOCOM Avirup Saha, Niloy Ganguly, Sandip Chakraborty, Abir De
2019	A*	`conf`	NeVAE: A Deep Generative Model for Molecular Graphs. AAAI Bidisha Samanta, Abir De, Gourhari Jana, Pratim Kumar Chattaraj, Niloy Ganguly, Manuel Gomez Rodriguez
2019	A	`conf`	On the Complexity of Opinions and Online Discussions. WSDM Utkarsh Upadhyay, Abir De, Aasish Pappu, Manuel Gomez-Rodriguez
2019	J	`jnl`	Privacy Preserving Link Prediction with Latent Geometric Network Models. CoRR Abir De, Soumen Chakrabarti
2019	J	`jnl`	Regression Under Human Assistance. CoRR Abir De, Paramita Koley, Niloy Ganguly, Manuel Gomez-Rodriguez
2018	A	`conf`	CRPP: Competing Recurrent Point Process for Modeling Visibility Dynamics in Information Diffusion. CIKM Avirup Saha, Bidisha Samanta, Niloy Ganguly, Abir De
2018	A*	`conf`	Deep Reinforcement Learning of Marked Temporal Point Processes. NeurIPS Utkarsh Upadhyay, Abir De, Manuel Gomez Rodriguez
2018	J	`jnl`	Deep Reinforcement Learning of Marked Temporal Point Processes. CoRR Utkarsh Upadhyay, Abir De, Manuel Gomez-Rodriguez
2018	A*	`conf`	Demarcating Endogenous and Exogenous Opinion Diffusion Process on Social Networks. WWW Abir De, Sourangshu Bhattacharya, Niloy Ganguly
2018	J	`jnl`	Designing Random Graph Models Using Variational Autoencoders With Applications to Chemical Design. CoRR Bidisha Samanta, Abir De, Niloy Ganguly, Manuel Gomez-Rodriguez
2018	J	`jnl`	On the Complexity of Opinions and Online Discussions. CoRR Utkarsh Upadhyay, Abir De, Aasish Pappu, Manuel Gomez-Rodriguez
2018	A	`conf`	Shaping Opinion Dynamics in Social Networks. AAMAS Abir De, Sourangshu Bhattacharya, Niloy Ganguly
2018	J	`jnl`	Steering Social Activity: A Stochastic Optimal Control Point Of View. CoRR Ali Zarezade, Abir De, Utkarsh Upadhyay, Hamid R. Rabiee, Manuel Gomez-Rodriguez
2018	J	`jnl`	Stochastic Optimal Control of Epidemic Processes in Networks. CoRR Lars Lorch, Abir De, Samir Bhatt, William Trouleau, Utkarsh Upadhyay, Manuel Gomez-Rodriguez
2017	J	`jnl`	Cheshire: An Online Algorithm for Activity Maximization in Social Networks. CoRR Ali Zarezade, Abir De, Hamid R. Rabiee, Manuel Gomez-Rodriguez
2017	A*	`conf`	LMPP: A Large Margin Point Process Combining Reinforcement and Competition for Modeling Hashtag Popularity. IJCAI Bidisha Samanta, Abir De, Abhijnan Chakraborty, Niloy Ganguly
2017	J	`jnl`	Optimizing Human Learning. CoRR Behzad Tabibian, Utkarsh Upadhyay, Abir De, Ali Zarezade, Bernhard Schölkopf, Manuel Gomez-Rodriguez
2017	A*	`conf`	SLANT+: A Nonlinear Model for Opinion Dynamics in Social Networks. ICDM Bhushan Kulkarni, Sumit Agarwal, Abir De, Sourangshu Bhattacharya, Niloy Ganguly
2017	A*	`conf`	STRM: A sister tweet reinforcement process for modeling hashtag popularity. INFOCOM Bidisha Samanta, Abir De, Niloy Ganguly
2017	J	`jnl`	Steering Social Activity: A Stochastic Optimal Control Point Of View. J. Mach. Learn. Res. Ali Zarezade, Abir De, Utkarsh Upadhyay, Hamid R. Rabiee, Manuel Gomez-Rodriguez
2016	J	`jnl`	Discriminative Link Prediction using Local, Community, and Global Signals. IEEE Trans. Knowl. Data Eng. Abir De, Sourangshu Bhattacharya, Sourav Sarkar, Niloy Ganguly, Soumen Chakrabarti
2016	—	`conf`	Learning and Forecasting Opinion Dynamics in Social Networks. NIPS Abir De, Isabel Valera, Niloy Ganguly, Sourangshu Bhattacharya, Manuel Gomez-Rodriguez
2015	A	`conf`	Knowlywood: Mining Activity Knowledge From Hollywood Narratives. CIKM Niket Tandon, Gerard de Melo, Abir De, Gerhard Weikum
2015	—	`conf`	Lights, Camera, Action: Knowledge Extraction from Movie Scripts. WWW (Companion Volume) Niket Tandon, Gerhard Weikum, Gerard de Melo, Abir De
2015	J	`jnl`	Modeling Opinion Dynamics in Diffusion Networks. CoRR Abir De, Isabel Valera, Niloy Ganguly, Sourangshu Bhattacharya, Manuel Gomez-Rodriguez
2014	A	`conf`	Learning a Linear Influence Model from Transient Opinion Dynamics. CIKM Abir De, Sourangshu Bhattacharya, Parantapa Bhattacharya, Niloy Ganguly, Soumen Chakrabarti
2013	A*	`conf`	Discriminative Link Prediction Using Local Links, Node Features and Community Structure. ICDM Abir De, Niloy Ganguly, Soumen Chakrabarti
2013	J	`jnl`	Discriminative Link Prediction using Local Links, Node Features and Community Structure. CoRR Abir De, Niloy Ganguly, Soumen Chakrabarti
2012	A	`conf`	Local learning of item dissimilarity using content and link structure. RecSys Abir De, Maunendra Sankar Desarkar, Niloy Ganguly, Pabitra Mitra