Abir De
37 papers · 2016–2025 · 8 conferences · across top CS/AI conferences
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(9)
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(3)
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(12)
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(2)
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(37)
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(10)
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(163)
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(6)
Conferences
NIPS (13)
AAAI (10)
ICML (6)
AISTATS (2)
ICLR (2)
JMLR (2)
IJCAI (1)
UAI (1)
Top co-authors
Research topics
Keywords
temporal point process
(7)
neural network
(6)
graph neural network
(5)
submodular optimization
(4)
event sequence
(3)
graph retrieval
(3)
data subset selection
(3)
variational autoencoder
(3)
generative model
(3)
marked temporal point process
(3)
variational inference
(2)
molecular graph
(2)
combinatorial optimization
(2)
subgraph matching
(2)
latent representation
(2)
greedy algorithm
(2)
node embedding
(2)
locality sensitive hashing
(2)
causal inference
(2)
markov decision process
(2)
Papers
Differentiable Adversarial Attacks for Marked Temporal Point Processes
AAAI 2025
Clique Number Estimation via Differentiable Functions of Adjacency Matrix Permutations
ICLR 2025
Charting the Design Space of Neural Graph Representations for Subgraph Matching
ICLR 2025
Position: Graph Matching Systems Deserve Better Benchmarks
ICML 2025
Learning Condensed Graph via Differentiable Atom Mapping for Reaction Yield Prediction
ICML 2025
Iteratively Refined Early Interaction Alignment for Subgraph Matching based Graph Retrieval
NIPS 2024
Continuous Treatment Effect Estimation Using Gradient Interpolation and Kernel Smoothing
AAAI 2024
Generator Assisted Mixture of Experts for Feature Acquisition in Batch
AAAI 2024
Graph Edit Distance with General Costs Using Neural Set Divergence
NIPS 2024
Efficient Data Subset Selection to Generalize Training Across Models: Transductive and Inductive Networks
NIPS 2023
Locality Sensitive Hashing in Fourier Frequency Domain For Soft Set Containment Search
NIPS 2023
Differentiable Change-point Detection With Temporal Point Processes
AISTATS 2023
Discrete Continuous Optimization Framework for Simultaneous Clustering and Training in Mixture Models
ICML 2023
VarScene: A Deep Generative Model for Realistic Scene Graph Synthesis
ICML 2022
Neural Estimation of Submodular Functions with Applications to Differentiable Subset Selection
NIPS 2022
Learning Recourse on Instance Environment to Enhance Prediction Accuracy
NIPS 2022
Maximum Common Subgraph Guided Graph Retrieval: Late and Early Interaction Networks
NIPS 2022
Learning Temporal Point Processes for Efficient Retrieval of Continuous Time Event Sequences
AAAI 2022
Interpretable Neural Subgraph Matching for Graph Retrieval
AAAI 2022
Training Data Subset Selection for Regression with Controlled Generalization Error
ICML 2021
Classification Under Human Assistance
AAAI 2021
Differentially Private Link Prediction with Protected Connections
AAAI 2021
Counterfactual Explanations in Sequential Decision Making Under Uncertainty
NIPS 2021
Learning Temporal Point Processes with Intermittent Observations
AISTATS 2021
Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time
NIPS 2021
Differentiable Learning Under Triage
NIPS 2021
Learning to Select Exogenous Events for Marked Temporal Point Process
NIPS 2021
Adversarial Permutation Guided Node Representations for Link Prediction
AAAI 2021
GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training
ICML 2021
On the design of consequential ranking algorithms
UAI 2020
Regression under Human Assistance
AAAI 2020
NEVAE: A Deep Generative Model for Molecular Graphs
JMLR 2020
NeVAE: A Deep Generative Model for Molecular Graphs
AAAI 2019
Deep Reinforcement Learning of Marked Temporal Point Processes
NIPS 2018
Steering Social Activity: A Stochastic Optimal Control Point Of View
JMLR 2018
LMPP: A Large Margin Point Process Combining Reinforcement and Competition for Modeling Hashtag Popularity
IJCAI 2017
Learning and Forecasting Opinion Dynamics in Social Networks
NIPS 2016