67 citations · 252 across the 25 of their papers we have counts for
27 papers
Efficient utilization of imaginarity in quantum steering
Shounak Datta, A. S. Majumdar
We illustrate the role of complex numbers in quantum information processing through the phenomenon of quantum steering. Exploiting partial knowledge of a qubit in terms of imaginar…
Evaluating Hallucination in Large Vision-Language Models based on Context-Aware Object Similarities
Shounak Datta, Dhanasekar Sundararaman
Despite their impressive performance on multi-modal tasks, large vision-language models (LVLMs) tend to suffer from hallucinations. An important type is object hallucination, where…
Identifying acute illness phenotypes via deep temporal interpolation and clustering network on physiologic signatures
Yuanfang Ren, Yanjun Li, Tyler J. Loftus +9
Initial hours of hospital admission impact clinical trajectory, but early clinical decisions often suffer due to data paucity. With clustering analysis for vital signs within six h…
Dynamics of two central spins immersed in spin baths
Devvrat Tiwari, Shounak Datta, Samyadeb Bhattacharya +1
In this article we derive the exact dynamics of a two qubit (spin 1/2) system interacting centrally with separate fermionic baths composed of qubits in thermal state. Further, each…
Interval Bound Interpolation for Few-shot Learning with Few Tasks
Shounak Datta, Sankha Subhra Mullick, Anish Chakrabarty +1
Few-shot learning aims to transfer the knowledge acquired from training on a diverse set of tasks to unseen tasks from the same task distribution with a limited amount of labeled d…
Remote state preparation by multiple observers using a single copy of a two-qubit entangled state
Shounak Datta, Shiladitya Mal, Arun K. Pati +1
We consider a scenario of remote state preparation (RSP) of qubits in the context of sequential network scenario. A single copy of an entangled state is shared between Alice on one…
Double Robust Representation Learning for Counterfactual Prediction
Shuxi Zeng, Serge Assaad, Chenyang Tao +3
Causal inference, or counterfactual prediction, is central to decision making in healthcare, policy and social sciences. To de-bias causal estimators with high-dimensional data in…
Counterfactual Representation Learning with Balancing Weights
Serge Assaad, Shuxi Zeng, Chenyang Tao +5
A key to causal inference with observational data is achieving balance in predictive features associated with each treatment type. Recent literature has explored representation lea…
RetiNerveNet: Using Recursive Deep Learning to Estimate Pointwise 24-2 Visual Field Data based on Retinal Structure
Shounak Datta, Eduardo B. Mariottoni, David Dov +3
Glaucoma is the leading cause of irreversible blindness in the world, affecting over 70 million people. The cumbersome Standard Automated Perimetry (SAP) test is most frequently us…
Appropriateness of Performance Indices for Imbalanced Data Classification: An Analysis
Sankha Subhra Mullick, Shounak Datta, Sourish Gunesh Dhekane +1
Indices quantifying the performance of classifiers under class-imbalance, often suffer from distortions depending on the constitution of the test set or the class-specific classifi…
Application of Deep Interpolation Network for Clustering of Physiologic Time Series
Yanjun Li, Yuanfang Ren, Tyler J. Loftus +7
Background: During the early stages of hospital admission, clinicians must use limited information to make diagnostic and treatment decisions as patient acuity evolves. However, it…
A Black-box Adversarial Attack Strategy with Adjustable Sparsity and Generalizability for Deep Image Classifiers
Arka Ghosh, Sankha Subhra Mullick, Shounak Datta +3
Constructing adversarial perturbations for deep neural networks is an important direction of research. Crafting image-dependent adversarial perturbations using white-box feedback h…
Added Value of Intraoperative Data for Predicting Postoperative Complications: Development and Validation of a MySurgeryRisk Extension
Shounak Datta, Tyler J. Loftus, Matthew M. Ruppert +12
To test the hypothesis that accuracy, discrimination, and precision in predicting postoperative complications improve when using both preoperative and intraoperative data input fea…
"All-versus-nothing" proof of genuine tripartite steering and entanglement certification in the two-sided device-independent scenario
Shashank Gupta, Debarshi Das, C. Jebarathinam +3
We consider the task of certification of genuine entanglement of tripartite states. For this purpose, we first present an "all-versus-nothing" proof of genuine tripartite Einstein-…
Generative Adversarial Minority Oversampling
Sankha Subhra Mullick, Shounak Datta, Swagatam Das
Class imbalance is a long-standing problem relevant to a number of real-world applications of deep learning. Oversampling techniques, which are effective for handling class imbalan…
Anharmonicity can enhance the performance of quantum refrigerators
Sourav Karar, Shounak Datta, Sibasish Ghosh +1
We explore a thermodynamical effect of anharmonicity in quantum mechanical oscillators. We show that small quartic perturbations to the oscillator potential lead to an enhancement…
Protecting temporal correlations of two-qubit states using quantum channels with memory
Shounak Datta, Shiladitya Mal, A. S. Majumdar
Quantum temporal correlations exhibited by violations of Leggett-Garg Inequality (LGI) and Temporal Steering Inequality (TSI) are in general found to be non-increasing under decohe…
Fuzzy Clustering to Identify Clusters at Different Levels of Fuzziness: An Evolutionary Multi-Objective Optimization Approach
Avisek Gupta, Shounak Datta, Swagatam Das
Fuzzy clustering methods identify naturally occurring clusters in a dataset, where the extent to which different clusters are overlapped can differ. Most methods have a parameter t…
Preservation of quantum non-bilocal correlations in noisy entanglement-swapping experiments using weak measurements
Shashank Gupta, Shounak Datta, A. S. Majumdar
A tripartite quantum network is said to be bilocal if two independent sources produce a pair of bipartite entangled states. Quantum non-bilocal correlation emerges when the central…
Sharing of Non-Local Advantage of Quantum Coherence by sequential observers
Shounak Datta, A. S. Majumdar
Non-local Advantage of Quantum Coherence(NAQC) or steerability of local quantum coherence is a strong non-local resource based on coherence complementarity relations. In this work,…
Diversifying Support Vector Machines for Boosting using Kernel Perturbation: Applications to Class Imbalance and Small Disjuncts
Shounak Datta, Sayak Nag, Sankha Subhra Mullick +1
The diversification (generating slightly varying separating discriminators) of Support Vector Machines (SVMs) for boosting has proven to be a challenge due to the strong learning n…
Tighter Einstein-Podolsky-Rosen steering inequality based on the sum uncertainty relation
Ananda G. Maity, Shounak Datta, A. S. Majumdar
We consider the uncertainty bound on the sum of variances of two incompatible observables in order to derive a corresponding steering inequality. Our steering criterion when applie…
Boosting with Lexicographic Programming: Addressing Class Imbalance without Cost Tuning
Shounak Datta, Sayak Nag, Swagatam Das
A large amount of research effort has been dedicated to adapting boosting for imbalanced classification. However, boosting methods are yet to be satisfactorily immune to class imba…
Cost of Einstein-Podolsky-Rosen steering in the context of extremal boxes
Debarshi Das, Shounak Datta, C. Jebaratnam +1
Einstein-Podolsky-Rosen steering is a form of quantum nonlocality which is weaker than Bell nonlocality, but stronger than entanglement. Here we present a method to check Einstein-…