default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDAbir De
Person information
Other persons with a similar name
SPARQL queries 
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[c46]Vedang Asgaonkar, Aditya Jain, Abir De:
Generator Assisted Mixture of Experts for Feature Acquisition in Batch. AAAI 2024: 10927-10934- [c45]Lokesh Nagalapatti, Akshay Iyer, Abir De, Sunita Sarawagi:
Continuous Treatment Effect Estimation Using Gradient Interpolation and Kernel Smoothing. AAAI 2024: 14397-14404 - [i34]Lokesh Nagalapatti, Akshay Iyer, Abir De, Sunita Sarawagi:
Continuous Treatment Effect Estimation Using Gradient Interpolation and Kernel Smoothing. CoRR abs/2401.15447 (2024) - [i33]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. CoRR abs/2409.12255 (2024) - 2023
- [c44]Paramita Koley, Harshavardhan Alimi
, Shrey Singla, Sourangshu Bhattacharya, Niloy Ganguly, Abir De:
Differentiable Change-point Detection With Temporal Point Processes. AISTATS 2023: 6940-6955 - [c43]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: 29950-29970 - [c42]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 - [c41]Indradyumna Roy, Rishi Agarwal, Soumen Chakrabarti, Anirban Dasgupta, Abir De:
Locality Sensitive Hashing in Fourier Frequency Domain For Soft Set Containment Search. NeurIPS 2023 - [c40]Pritish Chakraborty, Sayan Ranu, Krishna Sri Ipsit Mantri, Abir De:
Learning and Maximizing Influence in Social Networks Under Capacity Constraints. WSDM 2023: 733-741 - [i32]Vinayak Gupta, Srikanta Bedathur, Abir De:
Retrieving Continuous Time Event Sequences using Neural Temporal Point Processes with Learnable Hashing. CoRR abs/2307.09613 (2023) - [i31]Vedang Asgaonkar, Aditya Jain, Abir De:
Generator Assisted Mixture of Experts For Feature Acquisition in Batch. CoRR abs/2312.12574 (2023) - 2022
- [j8]Stratis Tsirtsis, Abir De, Lars Lorch, Manuel Gomez-Rodriguez:
Pooled testing of traced contacts under superspreading dynamics. PLoS Comput. Biol. 18(3) (2022) - [j7]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): 103:1-103:26 (2022) - [j6]Vahid Balazadeh Meresht, Abir De, Adish Singla, Manuel Gomez Rodriguez:
Learning to Switch Among Agents in a Team. Trans. Mach. Learn. Res. 2022 (2022) - [c39]Vinayak Gupta, Srikanta Bedathur, Abir De:
Learning Temporal Point Processes for Efficient Retrieval of Continuous Time Event Sequences. AAAI 2022: 4005-4013 - [c38]Indradyumna Roy, Venkata Sai Baba Reddy Velugoti, Soumen Chakrabarti, Abir De:
Interpretable Neural Subgraph Matching for Graph Retrieval. AAAI 2022: 8115-8123 - [c37]Tathagat Verma, Abir De, Yateesh Agrawal, Vishwa Vinay, Soumen Chakrabarti:
VarScene: A Deep Generative Model for Realistic Scene Graph Synthesis. ICML 2022: 22168-22183 - [c36]Abir De, Soumen Chakrabarti:
Neural Estimation of Submodular Functions with Applications to Differentiable Subset Selection. NeurIPS 2022 - [c35]Lokesh Nagalapatti, Guntakanti Sai Koushik, Abir De, Sunita Sarawagi:
Learning Recourse on Instance Environment to Enhance Prediction Accuracy. NeurIPS 2022 - [c34]Indradyumna Roy, Soumen Chakrabarti, Abir De:
Maximum Common Subgraph Guided Graph Retrieval: Late and Early Interaction Networks. NeurIPS 2022 - [i30]Vinayak Gupta, Srikanta Bedathur, Abir De:
Learning Temporal Point Processes for Efficient Retrieval of Continuous Time Event Sequences. CoRR abs/2202.11485 (2022) - [i29]Vinayak Gupta, Srikanta Bedathur, Sourangshu Bhattacharya, Abir De:
Modeling Continuous Time Sequences with Intermittent Observations using Marked Temporal Point Processes. CoRR abs/2206.12414 (2022) - [i28]Indradyumna Roy, Soumen Chakrabarti, Abir De:
Maximum Common Subgraph Guided Graph Retrieval: Late and Early Interaction Networks. CoRR abs/2210.11020 (2022) - [i27]Abir De, Soumen Chakrabarti:
Neural Estimation of Submodular Functions with Applications to Differentiable Subset Selection. CoRR abs/2210.11033 (2022) - 2021
- [j5]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): 99:1-99:25 (2021) - [c33]Abir De, Soumen Chakrabarti:
Differentially Private Link Prediction with Protected Connections. AAAI 2021: 63-71 - [c32]Abir De, Nastaran Okati, Ali Zarezade, Manuel Gomez Rodriguez:
Classification Under Human Assistance. AAAI 2021: 5905-5913 - [c31]Indradyumna Roy, Abir De, Soumen Chakrabarti:
Adversarial Permutation Guided Node Representations for Link Prediction. AAAI 2021: 9445-9453 - [c30]Abir De:
Invited Tutorial: Human Assisted ML. AIMLSystems 2021: 26:1-26:2 - [c29]Vinayak Gupta, Srikanta Bedathur, Sourangshu Bhattacharya, Abir De:
Learning Temporal Point Processes with Intermittent Observations. AISTATS 2021: 3790-3798 - [c28]Chitrank Gupta, Yash Jain, Abir De, Soumen Chakrabarti:
Integrating Transductive and Inductive Embeddings Improves Link Prediction Accuracy. CIKM 2021: 3043-3047 - [c27]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: 5464-5474 - [c26]Durga Sivasubramanian, Rishabh K. Iyer, Ganesh Ramakrishnan, Abir De:
Training Data Subset Selection for Regression with Controlled Generalization Error. ICML 2021: 9202-9212 - [c25]Ping Zhang, Rishabh K. Iyer, Ashish Tendulkar, Gaurav Aggarwal, Abir De:
Learning to Select Exogenous Events for Marked Temporal Point Process. NeurIPS 2021: 347-361 - [c24]Nastaran Okati, Abir De, Manuel Gomez-Rodriguez:
Differentiable Learning Under Triage. NeurIPS 2021: 9140-9151 - [c23]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: 19198-19209 - [c22]Stratis Tsirtsis, Abir De, Manuel Rodriguez:
Counterfactual Explanations in Sequential Decision Making Under Uncertainty. NeurIPS 2021: 30127-30139 - [c21]Prathamesh Deshpande, Kamlesh Marathe, Abir De, Sunita Sarawagi:
Long Horizon Forecasting with Temporal Point Processes. WSDM 2021: 571-579 - [i26]Prathamesh Deshpande, Kamlesh Marathe, Abir De, Sunita Sarawagi:
Long Horizon Forecasting With Temporal Point Processes. CoRR abs/2101.02815 (2021) - [i25]Paramita Koley, Avirup Saha, Sourangshu Bhattacharya, Niloy Ganguly, Abir De:
Demarcating Endogenous and Exogenous Opinion Dynamics: An Experimental Design Approach. CoRR abs/2102.05954 (2021) - [i24]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 abs/2103.00123 (2021) - [i23]Nastaran Okati, Abir De, Manuel Gomez-Rodriguez:
Differentiable Learning Under Triage. CoRR abs/2103.08902 (2021) - [i22]Durga Sivasubramanian, Rishabh K. Iyer, Ganesh Ramakrishnan, Abir De:
Training Data Subset Selection for Regression with Controlled Generalization Error. CoRR abs/2106.12491 (2021) - [i21]Stratis Tsirtsis, Abir De, Lars Lorch, Manuel Gomez-Rodriguez:
Group Testing under Superspreading Dynamics. CoRR abs/2106.15988 (2021) - [i20]Stratis Tsirtsis, Abir De, Manuel Gomez-Rodriguez:
Counterfactual Explanations in Sequential Decision Making Under Uncertainty. CoRR abs/2107.02776 (2021) - [i19]Anshul Nasery, Soumyadeep Thakur, Vihari Piratla, Abir De, Sunita Sarawagi:
Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time. CoRR abs/2108.06721 (2021) - [i18]Chitrank Gupta, Yash Jain, Abir De, Soumen Chakrabarti:
Integrating Transductive And Inductive Embeddings Improves Link Prediction Accuracy. CoRR abs/2108.10108 (2021) - [i17]Santanu Rathod, Manoj Bhadu, Abir De:
Global Convergence Using Policy Gradient Methods for Model-free Markovian Jump Linear Quadratic Control. CoRR abs/2111.15228 (2021) - 2020
- [j4]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: 114:1-114:33 (2020) - [c20]Abir De, Paramita Koley, Niloy Ganguly, Manuel Gomez-Rodriguez:
Regression under Human Assistance. AAAI 2020: 2611-2620 - [c19]Kunal Goyal, Utkarsh Gupta, Abir De, Soumen Chakrabarti:
Deep Neural Matching Models for Graph Retrieval. SIGIR 2020: 1701-1704 - [c18]Behzad Tabibian, Vicenç Gómez, Abir De, Bernhard Schölkopf, Manuel Gomez Rodriguez:
On the design of consequential ranking algorithms. UAI 2020: 171-180 - [c17]Abir De, Adish Singla, Utkarsh Upadhyay, Manuel Gomez-Rodriguez:
Can A User Guess What Her Followers Want? WSDM 2020: 142-150 - [i16]Vahid Balazadeh Meresht, Abir De, Adish Singla, Manuel Gomez-Rodriguez:
Learning to Switch Between Machines and Humans. CoRR abs/2002.04258 (2020) - [i15]Abir De, Nastaran Okati, Ali Zarezade, Manuel Gomez-Rodriguez:
Classification Under Human Assistance. CoRR abs/2006.11845 (2020) - [i14]Indradyumna Roy, Abir De, Soumen Chakrabarti:
Adversarial Permutation Guided Node Representations for Link Prediction. CoRR abs/2012.08974 (2020)
2010 – 2019
- 2019
- [j3]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): 16:1-16:33 (2019) - [c16]Bidisha Samanta, Abir De, Gourhari Jana, Pratim Kumar Chattaraj, Niloy Ganguly, Manuel Gomez Rodriguez:
NeVAE: A Deep Generative Model for Molecular Graphs. AAAI 2019: 1110-1117 - [c15]Avirup Saha, Niloy Ganguly, Sandip Chakraborty, Abir De:
Learning Network Traffic Dynamics Using Temporal Point Process. INFOCOM 2019: 1927-1935 - [c14]Utkarsh Upadhyay, Abir De, Aasish Pappu, Manuel Gomez-Rodriguez:
On the Complexity of Opinions and Online Discussions. WSDM 2019: 258-266 - [i13]Behzad Tabibian, Vicenç Gómez, Abir De, Bernhard Schölkopf, Manuel Gomez Rodriguez:
Consequential Ranking Algorithms and Long-term Welfare. CoRR abs/1905.05305 (2019) - [i12]Abir De, Soumen Chakrabarti:
Privacy Preserving Link Prediction with Latent Geometric Network Models. CoRR abs/1908.04849 (2019) - [i11]Abir De, Adish Singla, Utkarsh Upadhyay, Manuel Gomez-Rodriguez:
Can A User Anticipate What Her Followers Want? CoRR abs/1909.00440 (2019) - [i10]Abir De, Paramita Koley, Niloy Ganguly, Manuel Gomez-Rodriguez:
Regression Under Human Assistance. CoRR abs/1909.02963 (2019) - 2018
- [c13]Abir De, Sourangshu Bhattacharya, Niloy Ganguly:
Shaping Opinion Dynamics in Social Networks. AAMAS 2018: 1336-1344 - [c12]Avirup Saha, Bidisha Samanta, Niloy Ganguly, Abir De:
CRPP: Competing Recurrent Point Process for Modeling Visibility Dynamics in Information Diffusion. CIKM 2018: 537-546 - [c11]Utkarsh Upadhyay, Abir De, Manuel Gomez Rodriguez:
Deep Reinforcement Learning of Marked Temporal Point Processes. NeurIPS 2018: 3172-3182 - [c10]Abir De, Sourangshu Bhattacharya, Niloy Ganguly:
Demarcating Endogenous and Exogenous Opinion Diffusion Process on Social Networks. WWW 2018: 549-558 - [i9]Bidisha Samanta, Abir De, Niloy Ganguly, Manuel Gomez-Rodriguez:
Designing Random Graph Models Using Variational Autoencoders With Applications to Chemical Design. CoRR abs/1802.05283 (2018) - [i8]Utkarsh Upadhyay, Abir De, Aasish Pappu, Manuel Gomez-Rodriguez:
On the Complexity of Opinions and Online Discussions. CoRR abs/1802.06807 (2018) - [i7]Ali Zarezade, Abir De, Utkarsh Upadhyay, Hamid R. Rabiee, Manuel Gomez-Rodriguez:
Steering Social Activity: A Stochastic Optimal Control Point Of View. CoRR abs/1802.07244 (2018) - [i6]Utkarsh Upadhyay, Abir De, Manuel Gomez-Rodriguez:
Deep Reinforcement Learning of Marked Temporal Point Processes. CoRR abs/1805.09360 (2018) - [i5]Lars Lorch, Abir De, Samir Bhatt, William Trouleau, Utkarsh Upadhyay, Manuel Gomez-Rodriguez:
Stochastic Optimal Control of Epidemic Processes in Networks. CoRR abs/1810.13043 (2018) - 2017
- [j2]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: 205:1-205:35 (2017) - [c9]Bhushan Kulkarni, Sumit Agarwal, Abir De, Sourangshu Bhattacharya, Niloy Ganguly:
SLANT+: A Nonlinear Model for Opinion Dynamics in Social Networks. ICDM 2017: 931-936 - [c8]Bidisha Samanta, Abir De, Abhijnan Chakraborty, Niloy Ganguly:
LMPP: A Large Margin Point Process Combining Reinforcement and Competition for Modeling Hashtag Popularity. IJCAI 2017: 2679-2685 - [c7]Bidisha Samanta, Abir De, Niloy Ganguly:
STRM: A sister tweet reinforcement process for modeling hashtag popularity. INFOCOM 2017: 1-9 - [i4]Ali Zarezade, Abir De, Hamid R. Rabiee, Manuel Gomez-Rodriguez:
Cheshire: An Online Algorithm for Activity Maximization in Social Networks. CoRR abs/1703.02059 (2017) - [i3]Behzad Tabibian, Utkarsh Upadhyay, Abir De, Ali Zarezade, Bernhard Schölkopf, Manuel Gomez-Rodriguez:
Optimizing Human Learning. CoRR abs/1712.01856 (2017) - 2016
- [j1]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): 2057-2070 (2016) - [c6]Abir De, Isabel Valera, Niloy Ganguly, Sourangshu Bhattacharya, Manuel Gomez-Rodriguez:
Learning and Forecasting Opinion Dynamics in Social Networks. NIPS 2016: 397-405 - 2015
- [c5]Niket Tandon, Gerard de Melo, Abir De, Gerhard Weikum:
Knowlywood: Mining Activity Knowledge From Hollywood Narratives. CIKM 2015: 223-232 - [c4]Niket Tandon, Gerhard Weikum, Gerard de Melo, Abir De:
Lights, Camera, Action: Knowledge Extraction from Movie Scripts. WWW (Companion Volume) 2015: 127-128 - [i2]Abir De, Isabel Valera, Niloy Ganguly, Sourangshu Bhattacharya, Manuel Gomez-Rodriguez:
Modeling Opinion Dynamics in Diffusion Networks. CoRR abs/1506.05474 (2015) - 2014
- [c3]Abir De, Sourangshu Bhattacharya, Parantapa Bhattacharya, Niloy Ganguly, Soumen Chakrabarti:
Learning a Linear Influence Model from Transient Opinion Dynamics. CIKM 2014: 401-410 - 2013
- [c2]Abir De, Niloy Ganguly, Soumen Chakrabarti:
Discriminative Link Prediction Using Local Links, Node Features and Community Structure. ICDM 2013: 1009-1018 - [i1]Abir De, Niloy Ganguly, Soumen Chakrabarti:
Discriminative Link Prediction using Local Links, Node Features and Community Structure. CoRR abs/1310.4579 (2013) - 2012
- [c1]Abir De, Maunendra Sankar Desarkar, Niloy Ganguly, Pabitra Mitra:
Local learning of item dissimilarity using content and link structure. RecSys 2012: 221-224
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-21 20:29 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
