Mohit Prabhushankar

88 papers A* 4A 1B 16Journal 60Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A unified framework for evaluating the robustness of machine-learning interpretability for prospect risking. CoRR Prithwijit Chowdhury, Ahmad Mustafa, Mohit Prabhushankar, Ghassan AlRegib
2026	J	`jnl`	BALD-SAM: Disagreement-based Active Prompting in Interactive Segmentation. CoRR Prithwijit Chowdhury, Mohit Prabhushankar, Ghassan AlRegib
2026	J	`jnl`	Gradient based Severity Labeling for Biomarker Classification in OCT. CoRR Kiran Kokilepersaud, Mohit Prabhushankar, Ghassan AlRegib, Stephanie Trejo Corona, Charles C. Wykoff
2026	J	`jnl`	Hierarchical and Multimodal Data for Daily Activity Understanding. J. Data-centric Mach. Learn. Res. Ghazal Kaviani, Yavuz Yarici, Seulgi Kim, Mohit Prabhushankar, Ghassan AlRegib, Mashhour Solh, Ameya Patil
2025	J	`jnl`	A Large-Scale Benchmark on Geological Fault Delineation Models: Domain Shift, Training Dynamics, Generalizability, Evaluation, and Inferential Behavior. IEEE Access Jorge Quesada, Chen Zhou, Prithwijit Chowdhury, Mohammad Alotaibi, Ahmad Mustafa, Yusufjon Kumakov, Mohit Prabhushankar, Ghassan AlRegib
2025	J	`jnl`	A Large-scale Benchmark on Geological Fault Delineation Models: Domain Shift, Training Dynamics, Generalizability, Evaluation and Inferential Behavior. CoRR Jorge Quesada, Chen Zhou, Prithwijit Chowdhury, Mohammad Alotaibi, Ahmad Mustafa, Yusufjon Kumakov, Mohit Prabhushankar, Ghassan AlRegib
2025	J	`jnl`	AdaDim: Dimensionality Adaptation for SSL Representational Dynamics. CoRR Kiran Kokilepersaud, Mohit Prabhushankar, Ghassan AlRegib
2025	J	`jnl`	Countering Multi-modal Representation Collapse through Rank-targeted Fusion. CoRR Seulgi Kim, Kiran Kokilepersaud, Mohit Prabhushankar, Ghassan AlRegib
2025	A	`conf`	HEX: Hierarchical Emergence Exploitation in Self-Supervised Algorithms. WACV Kiran Kokilepersaud, Seulgi Kim, Mohit Prabhushankar, Ghassan AlRegib
2025	J	`jnl`	Hierarchical and Multimodal Data for Daily Activity Understanding. CoRR Ghazal Kaviani, Yavuz Yarici, Seulgi Kim, Mohit Prabhushankar, Ghassan AlRegib, Mashhour Solh, Ameya Patil
2025	J	`jnl`	Multi-level and Multi-modal Action Anticipation. CoRR Seulgi Kim, Ghazal Kaviani, Mohit Prabhushankar, Ghassan AlRegib
2025	—	`conf`	Subject Invariant Contrastive Learning for Human Activity Recognition. MLSP Yavuz Yarici, Kiran Kokilepersaud, Mohit Prabhushankar, Ghassan AlRegib
2025	J	`jnl`	Subject Invariant Contrastive Learning for Human Activity Recognition. CoRR Yavuz Yarici, Kiran Kokilepersaud, Mohit Prabhushankar, Ghassan AlRegib
2025	J	`jnl`	VOICE: Variance of Induced Contrastive Explanations to Quantify Uncertainty in Neural Network Interpretability. IEEE J. Sel. Top. Signal Process. Mohit Prabhushankar, Ghassan AlRegib
2024	B	`conf`	Are Objective Explanatory Evaluation Metrics Trustworthy? An Adversarial Analysis. ICIP Prithwijit Chowdhury, Mohit Prabhushankar, Ghassan AlRegib, Mohamed Deriche
2024	J	`jnl`	Are Objective Explanatory Evaluation metrics Trustworthy? An Adversarial Analysis. CoRR Prithwijit Chowdhury, Mohit Prabhushankar, Ghassan AlRegib, Mohamed Deriche
2024	B	`conf`	Benchmarking Human and Automated Prompting in the Segment Anything Model. IEEE Big Data Jorge Quesada, Zoe Fowler, Mohammad Alotaibi, Mohit Prabhushankar, Ghassan AlRegib
2024	J	`jnl`	Benchmarking Human and Automated Prompting in the Segment Anything Model. CoRR Jorge Quesada, Zoe Fowler, Mohammad Alotaibi, Mohit Prabhushankar, Ghassan AlRegib
2024	J	`jnl`	CRACKS: Crowdsourcing Resources for Analysis and Categorization of Key Subsurface faults. CoRR Mohit Prabhushankar, Kiran Kokilepersaud, Jorge Quesada, Yavuz Yarici, Chen Zhou, Mohammad Alotaibi, Ghassan AlRegib, Ahmad Mustafa, Yusufjon Kumakov
2024	—	`conf`	Counterfactual Gradients-based Quantification of Prediction Trust in Neural Networks. MIPR Mohit Prabhushankar, Ghassan AlRegib
2024	J	`jnl`	Counterfactual Gradients-based Quantification of Prediction Trust in Neural Networks. CoRR Mohit Prabhushankar, Ghassan AlRegib
2024	J	`jnl`	Effective Data Selection for Seismic Interpretation Through Disagreement. IEEE Trans. Geosci. Remote. Sens. Ryan Benkert, Mohit Prabhushankar, Ghassan AlRegib
2024	J	`jnl`	Effective Data Selection for Seismic Interpretation through Disagreement. CoRR Ryan Benkert, Mohit Prabhushankar, Ghassan AlRegib
2024	B	`conf`	Explaining Representation Learning With Perceptual Components. ICIP Yavuz Yarici, Kiran Kokilepersaud, Mohit Prabhushankar, Ghassan AlRegib
2024	J	`jnl`	Explaining Representation Learning with Perceptual Components. CoRR Yavuz Yarici, Kiran Kokilepersaud, Mohit Prabhushankar, Ghassan AlRegib
2024	J	`jnl`	Gaussian Switch Sampling: A Second-Order Approach to Active Learning. IEEE Trans. Artif. Intell. Ryan Benkert, Mohit Prabhushankar, Ghassan AlRegib, Armin Pacharmi, Enrique Corona
2024	J	`jnl`	HEX: Hierarchical Emergence Exploitation in Self-Supervised Algorithms. CoRR Kiran Kokilepersaud, Seulgi Kim, Mohit Prabhushankar, Ghassan AlRegib
2024	B	`conf`	Intelligent Multi-View Test Time Augmentation. ICIP Efe Ozturk, Mohit Prabhushankar, Ghassan AlRegib
2024	J	`jnl`	Intelligent Multi-View Test Time Augmentation. CoRR Efe Ozturk, Mohit Prabhushankar, Ghassan AlRegib
2024	J	`jnl`	Ophthalmic Biomarker Detection: Highlights From the IEEE Video and Image Processing Cup 2023 Student Competition [SP Competitions]. IEEE Signal Process. Mag. Ghassan AlRegib, Mohit Prabhushankar, Kiran Kokilepersaud, Prithwijit Chowdhury, Zoe Fowler, Stephanie Trejo Corona, Lucas A. Thomaz, Angshul Majumdar
2024	J	`jnl`	Perceptual Quality-based Model Training under Annotator Label Uncertainty. CoRR Chen Zhou, Mohit Prabhushankar, Ghassan AlRegib
2024	—	`conf`	PointPrompt: A Multi-modal Prompting Dataset for Segment Anything Model. CVPR Workshops Jorge Quesada, Mohammad Alotaibi, Mohit Prabhushankar, Ghassan AlRegib
2024	B	`conf`	Targeting Negative Flips in Active Learning using Validation Sets. IEEE Big Data Ryan Benkert, Mohit Prabhushankar, Ghassan AlRegib
2024	J	`jnl`	Targeting Negative Flips in Active Learning using Validation Sets. CoRR Ryan Benkert, Mohit Prabhushankar, Ghassan AlRegib
2024	J	`jnl`	Taxes Are All You Need: Integration of Taxonomical Hierarchy Relationships into the Contrastive Loss. CoRR Kiran Kokilepersaud, Yavuz Yarici, Mohit Prabhushankar, Ghassan AlRegib
2024	B	`conf`	Taxes are All You Need: Integration Of Taxonomical Hierarchy Relationships Into the Contrastive Loss. ICIP Kiran Kokilepersaud, Yavuz Yarici, Mohit Prabhushankar, Ghassan AlRegib
2024	A*	`conf`	Transitional Uncertainty with Layered Intermediate Predictions. ICML Ryan Benkert, Mohit Prabhushankar, Ghassan AlRegib
2024	J	`jnl`	Transitional Uncertainty with Layered Intermediate Predictions. CoRR Ryan Benkert, Mohit Prabhushankar, Ghassan AlRegib
2024	A*	`conf`	Understanding and Leveraging the Learning Phases of Neural Networks. AAAI Johannes Schneider, Mohit Prabhushankar
2024	J	`jnl`	VOICE: Variance of Induced Contrastive Explanations to quantify Uncertainty in Neural Network Interpretability. CoRR Mohit Prabhushankar, Ghassan AlRegib
2023	—	`conf`	Clinical Trial Active Learning. BCB Zoe Fowler, Kiran Premdat Kokilepersaud, Mohit Prabhushankar, Ghassan AlRegib
2023	J	`jnl`	Clinical Trial Active Learning. CoRR Zoe Fowler, Kiran Kokilepersaud, Mohit Prabhushankar, Ghassan AlRegib
2023	J	`jnl`	Clinically Labeled Contrastive Learning for OCT Biomarker Classification. CoRR Kiran Kokilepersaud, Stephanie Trejo Corona, Mohit Prabhushankar, Ghassan AlRegib, Charles C. Wykoff
2023	J	`jnl`	Clinically Labeled Contrastive Learning for OCT Biomarker Classification. IEEE J. Biomed. Health Informatics Kiran Kokilepersaud, Stephanie Trejo Corona, Mohit Prabhushankar, Ghassan AlRegib, Charles C. Wykoff
2023	—	`—`	Contrastive Reasoning in Neural Networks. Mohit Prabhushankar
2023	J	`jnl`	Exploiting the Distortion-Semantic Interaction in Fisheye Data. CoRR Kiran Kokilepersaud, Mohit Prabhushankar, Yavuz Yarici, Ghassan AlRegib, Armin Parchami
2023	B	`conf`	FOCAL: A Cost-Aware Video Dataset for Active Learning. IEEE Big Data Kiran Kokilepersaud, Yash-Yee Logan, Ryan Benkert, Chen Zhou, Mohit Prabhushankar, Ghassan AlRegib, Enrique Corona, Kunjan Singh, Mostafa Parchami
2023	J	`jnl`	FOCAL: A Cost-Aware Video Dataset for Active Learning. CoRR Kiran Kokilepersaud, Yash-Yee Logan, Ryan Benkert, Chen Zhou, Mohit Prabhushankar, Ghassan AlRegib, Enrique Corona, Kunjan Singh, Mostafa Parchami
2023	J	`jnl`	Forgetful Active Learning with Switch Events: Efficient Sampling for Out-of-Distribution Data. CoRR Ryan Benkert, Mohit Prabhushankar, Ghassan AlRegib
2023	J	`jnl`	Gaussian Switch Sampling: A Second Order Approach to Active Learning. CoRR Ryan Benkert, Mohit Prabhushankar, Ghassan AlRegib, Armin Pacharmi, Enrique Corona
2023	J	`jnl`	Probing the Purview of Neural Networks via Gradient Analysis. IEEE Access Jinsol Lee, Charlie Lehman, Mohit Prabhushankar, Ghassan AlRegib
2023	J	`jnl`	Probing the Purview of Neural Networks via Gradient Analysis. CoRR Jinsol Lee, Charlie Lehman, Mohit Prabhushankar, Ghassan AlRegib
2023	J	`jnl`	Stochastic Surprisal: An inferential measurement of Free Energy in Neural Networks. CoRR Mohit Prabhushankar, Ghassan AlRegib
2023	J	`jnl`	Understanding and Leveraging the Learning Phases of Neural Networks. CoRR Johannes Schneider, Mohit Prabhushankar
2022	J	`jnl`	Clinical Contrastive Learning for Biomarker Detection. CoRR Kiran Kokilepersaud, Mohit Prabhushankar, Ghassan AlRegib
2022	J	`jnl`	Explanatory Paradigms in Neural Networks. CoRR Ghassan AlRegib, Mohit Prabhushankar
2022	J	`jnl`	Explanatory Paradigms in Neural Networks: Towards relevant and contextual explanations. IEEE Signal Process. Mag. Ghassan AlRegib, Mohit Prabhushankar
2022	B	`conf`	Forgetful Active Learning with Switch Events: Efficient Sampling for Out-of-Distribution Data. ICIP Ryan Benkert, Mohit Prabhushankar, Ghassan AlRegib
2022	J	`jnl`	Gradient-Based Adversarial and Out-of-Distribution Detection. CoRR Jinsol Lee, Mohit Prabhushankar, Ghassan AlRegib
2022	B	`conf`	Gradient-Based Severity Labeling for Biomarker Classification in Oct. ICIP Kiran Kokilepersaud, Mohit Prabhushankar, Ghassan AlRegib, Stephanie Trejo Corona, Charles C. Wykoff
2022	J	`jnl`	Introspective Learning : A Two-Stage Approach for Inference in Neural Networks. CoRR Mohit Prabhushankar, Ghassan AlRegib
2022	A*	`conf`	Introspective Learning : A Two-Stage approach for Inference in Neural Networks. NeurIPS Mohit Prabhushankar, Ghassan AlRegib
2022	A*	`conf`	OLIVES Dataset: Ophthalmic Labels for Investigating Visual Eye Semantics. NeurIPS Mohit Prabhushankar, Kiran Kokilepersaud, Yash-Yee Logan, Stephanie Trejo Corona, Ghassan AlRegib, Charles C. Wykoff
2022	J	`jnl`	OLIVES Dataset: Ophthalmic Labels for Investigating Visual Eye Semantics. CoRR Mohit Prabhushankar, Kiran Kokilepersaud, Yash-Yee Logan, Stephanie Trejo Corona, Ghassan AlRegib, Charles C. Wykoff
2022	J	`jnl`	On the Ramifications of Human Label Uncertainty. CoRR Chen Zhou, Mohit Prabhushankar, Ghassan AlRegib
2022	J	`jnl`	Volumetric Supervised Contrastive Learning for Seismic Semantic Segmentation. CoRR Kiran Kokilepersaud, Mohit Prabhushankar, Ghassan AlRegib
2021	J	`jnl`	Contrastive Reasoning in Neural Networks. CoRR Mohit Prabhushankar, Ghassan AlRegib
2021	B	`conf`	Extracting Causal Visual Features For Limited Label Classification. ICIP Mohit Prabhushankar, Ghassan AlRegib
2021	J	`jnl`	Extracting Causal Visual Features for Limited label Classification. CoRR Mohit Prabhushankar, Ghassan AlRegib
2020	—	`conf`	Backpropagated Gradient Representations for Anomaly Detection. ECCV (21) Gukyeong Kwon, Mohit Prabhushankar, Dogancan Temel, Ghassan AlRegib
2020	J	`jnl`	Backpropagated Gradient Representations for Anomaly Detection. CoRR Gukyeong Kwon, Mohit Prabhushankar, Dogancan Temel, Ghassan AlRegib
2020	B	`conf`	Contrastive Explanations In Neural Networks. ICIP Mohit Prabhushankar, Gukyeong Kwon, Dogancan Temel, Ghassan AlRegib
2020	J	`jnl`	Contrastive Explanations in Neural Networks. CoRR Mohit Prabhushankar, Gukyeong Kwon, Dogancan Temel, Ghassan AlRegib
2020	B	`conf`	Implicit Saliency In Deep Neural Networks. ICIP Yutong Sun, Mohit Prabhushankar, Ghassan AlRegib
2020	J	`jnl`	Implicit Saliency in Deep Neural Networks. CoRR Yutong Sun, Mohit Prabhushankar, Ghassan AlRegib
2020	B	`conf`	Novelty Detection Through Model-Based Characterization of Neural Networks. ICIP Gukyeong Kwon, Mohit Prabhushankar, Dogancan Temel, Ghassan AlRegib
2020	J	`jnl`	Novelty Detection Through Model-Based Characterization of Neural Networks. CoRR Gukyeong Kwon, Mohit Prabhushankar, Dogancan Temel, Ghassan AlRegib
2019	B	`conf`	Distorted Representation Space Characterization Through Backpropagated Gradients. ICIP Gukyeong Kwon, Mohit Prabhushankar, Dogancan Temel, Ghassan AlRegib
2019	J	`jnl`	Distorted Representation Space Characterization Through Backpropagated Gradients. CoRR Gukyeong Kwon, Mohit Prabhushankar, Dogancan Temel, Ghassan AlRegib
2019	J	`jnl`	Semantically Interpretable and Controllable Filter Sets. CoRR Mohit Prabhushankar, Gukyeong Kwon, Dogancan Temel, Ghassan AlRegib
2018	J	`jnl`	Generating Adaptive and Robust Filter Sets Using an Unsupervised Learning Framework. CoRR Mohit Prabhushankar, Dogancan Temel, Ghassan AlRegib
2018	J	`jnl`	MS-UNIQUE: Multi-model and Sharpness-weighted Unsupervised Image Quality Estimation. CoRR Mohit Prabhushankar, Dogancan Temel, Ghassan AlRegib
2018	B	`conf`	Semantically Interpretable and Controllable Filter Sets. ICIP Mohit Prabhushankar, Gukyeong Kwon, Dogancan Temel, Ghassan AlRegib
2018	J	`jnl`	UNIQUE: Unsupervised Image Quality Estimation. CoRR Dogancan Temel, Mohit Prabhushankar, Ghassan AlRegib
2017	J	`jnl`	CURE-TSR: Challenging Unreal and Real Environments for Traffic Sign Recognition. CoRR Dogancan Temel, Gukyeong Kwon, Mohit Prabhushankar, Ghassan AlRegib
2017	B	`conf`	Generating adaptive and robust filter sets using an unsupervised learning framework. ICIP Mohit Prabhushankar, Dogancan Temel, Ghassan AlRegib
2017	—	`conf`	MS-UNIQUE: Multi-model and Sharpness-weighted Unsupervised Image Quality Estimation. IQSP Mohit Prabhushankar, Dogancan Temel, Ghassan AlRegib
2016	J	`jnl`	UNIQUE: Unsupervised Image Quality Estimation. IEEE Signal Process. Lett. Dogancan Temel, Mohit Prabhushankar, Ghassan AlRegib