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ORCIDAnirban Roy
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j14]Moumita Ghosh, Sourav Mondal, Harshita Moondra, Dina Tri Utari, Anirban Roy, Kartick Chandra Mondal:
An irregular CLA-based novel frequent pattern mining approach. Int. J. Data Min. Model. Manag. 16(3): 268-292 (2024)- [c30]Adam D. Cobb, Brian Matejek, Daniel Elenius, Anirban Roy, Susmit Jha:
Direct Amortized Likelihood Ratio Estimation. AAAI 2024: 20362-20369 - [c29]Ravi Mangal, Nina Narodytska, Divya Gopinath, Boyue Caroline Hu, Anirban Roy, Susmit Jha, Corina S. Pasareanu:
Concept-Based Analysis of Neural Networks via Vision-Language Models. SAIV 2024: 49-77 - [i18]Aniket Roy, Anirban Roy, Soma Mitra, Kuntal Ghosh:
BRI3L: A Brightness Illusion Image Dataset for Identification and Localization of Regions of Illusory Perception. CoRR abs/2402.04541 (2024) - [i17]Ravi Mangal, Nina Narodytska, Divya Gopinath, Boyue Caroline Hu, Anirban Roy, Susmit Jha, Corina S. Pasareanu:
Concept-based Analysis of Neural Networks via Vision-Language Models. CoRR abs/2403.19837 (2024) - 2023
- [j13]Moumita Ghosh
, Anirban Roy, Pritam Sil, Kartick Chandra Mondal:
Frequent itemset mining using FP-tree: a CLA-based approach and its extended application in biodiversity data. Innov. Syst. Softw. Eng. 19(3): 283-301 (2023) - [j12]Akshayaa Magesh, Venugopal V. Veeravalli, Anirban Roy, Susmit Jha:
Principled Out-of-Distribution Detection via Multiple Testing. J. Mach. Learn. Res. 24: 378:1-378:35 (2023) - [c28]Moumita Ghosh, Sourav Mondal, Anirban Roy, Kartick Chandra Mondal:
An Introduction to KDB: Knowledge Discovery in Biodiversity. CICBA (2) 2023: 316-331 - [c27]Rohit Gupta, Anirban Roy, Claire Christensen, Sujeong Kim, Sarah Gerard, Madeline Cincebeaux, Ajay Divakaran, Todd Grindal, Mubarak Shah:
Class Prototypes based Contrastive Learning for Classifying Multi-Label and Fine-Grained Educational Videos. CVPR 2023: 19923-19933 - [c26]Ramneet Kaur, Susmit Jha, Anirban Roy, Oleg Sokolsky, Insup Lee:
Predicting Out-of-Distribution Performance of Deep Neural Networks Using Model Conformance. ICAA 2023: 19-28 - [c25]Karan Sikka, Indranil Sur, Anirban Roy, Ajay Divakaran, Susmit Jha:
Detecting Trojaned DNNs Using Counterfactual Attributions. ICAA 2023: 76-85 - [c24]Anirban Roy, Mehnaz Rashid Mim:
An Approach to Detect Air Quality using Machine Learning and Data Analysis Tools. ICCCNT 2023: 1-7 - [c23]Ramneet Kaur, Kaustubh Sridhar, Sangdon Park, Yahan Yang, Susmit Jha, Anirban Roy, Oleg Sokolsky, Insup Lee:
CODiT: Conformal Out-of-Distribution Detection in Time-Series Data for Cyber-Physical Systems. ICCPS 2023: 120-131 - [c22]Indranil Sur, Karan Sikka, Matthew Walmer, Kaushik Koneripalli, Anirban Roy, Xiao Lin, Ajay Divakaran, Susmit Jha:
TIJO: Trigger Inversion with Joint Optimization for Defending Multimodal Backdoored Models. ICCV 2023: 165-175 - [c21]Salahudden Salahudden, Pramath Bhatt, Khushali Patil, Abhishek Ghosh Roy, Anirban Roy:
Multirotor VTOL and Tilt Rotor Transition to Fixed Wing. ICSC 2023: 264-269 - [c20]Akshayaa Magesh, Venugopal V. Veeravalli, Anirban Roy, Susmit Jha:
Principled OOD Detection via Multiple Testing. ISIT 2023: 1026-1031 - [c19]Susmit Jha, Anirban Roy, Adam D. Cobb, Alexander M. Berenbeim, Nathaniel D. Bastian:
Challenges and Opportunities in Neuro-Symbolic Composition of Foundation Models. MILCOM 2023: 156-161 - [c18]Adam B. Cobb, Anirban Roy, Daniel Elenius, F. Michael Heim, Brian Swenson, Sydney Whittington, James D. Walker, Theodore Bapty, Joseph Hite, Karthik Ramani, Christopher McComb, Susmit Jha:
AircraftVerse: A Large-Scale Multimodal Dataset of Aerial Vehicle Designs. NeurIPS 2023 - [i16]Eric Yeh, Briland Hitaj, Vidyasagar Sadhu, Anirban Roy, Takuma Nakabayashi, Yoshito Tsuji:
Automatic Measures for Evaluating Generative Design Methods for Architects. CoRR abs/2303.11483 (2023) - [i15]Adam D. Cobb, Anirban Roy, Daniel Elenius, F. Michael Heim, Brian Swenson, Sydney Whittington, James D. Walker, Theodore Bapty, Joseph Hite, Karthik Ramani, Christopher McComb, Susmit Jha:
AircraftVerse: A Large-Scale Multimodal Dataset of Aerial Vehicle Designs. CoRR abs/2306.05562 (2023) - [i14]Indranil Sur, Karan Sikka, Matthew Walmer, Kaushik Koneripalli, Anirban Roy, Xiao Lin, Ajay Divakaran, Susmit Jha:
TIJO: Trigger Inversion with Joint Optimization for Defending Multimodal Backdoored Models. CoRR abs/2308.03906 (2023) - [i13]Adam D. Cobb, Brian Matejek, Daniel Elenius, Anirban Roy, Susmit Jha:
Direct Amortized Likelihood Ratio Estimation. CoRR abs/2311.10571 (2023) - 2022
- [j11]Moumita Ghosh, Kartick Chandra Mondal, Anirban Roy:
Recognition of co-existence pattern of salt marshes and mangroves for littoral forest restoration. Ecol. Informatics 71: 101769 (2022) - [j10]Moumita Ghosh, Anirban Roy, Kartick Chandra Mondal:
Knowledge Discovery of Sundarban Mangrove Species: A Way Forward for Managing Species Biodiversity. SN Comput. Sci. 3(1): 18 (2022) - [c17]Ramneet Kaur, Susmit Jha, Anirban Roy, Sangdon Park, Edgar Dobriban, Oleg Sokolsky, Insup Lee:
iDECODe: In-Distribution Equivariance for Conformal Out-of-Distribution Detection. AAAI 2022: 7104-7114 - [c16]Manoj Acharya, Anirban Roy, Kaushik Koneripalli, Susmit Jha, Christopher Kanan, Ajay Divakaran:
Detecting Out-Of-Context Objects Using Graph Contextual Reasoning Network. IJCAI 2022: 629-635 - [i12]Ramneet Kaur, Susmit Jha, Anirban Roy, Sangdon Park, Edgar Dobriban, Oleg Sokolsky, Insup Lee:
iDECODe: In-distribution Equivariance for Conformal Out-of-distribution Detection. CoRR abs/2201.02331 (2022) - [i11]Manoj Acharya, Anirban Roy, Kaushik Koneripalli, Susmit Jha, Christopher Kanan, Ajay Divakaran:
Detecting out-of-context objects using contextual cues. CoRR abs/2202.05930 (2022) - [i10]Akshayaa Magesh, Venugopal V. Veeravalli, Anirban Roy, Susmit Jha:
Multiple Testing Framework for Out-of-Distribution Detection. CoRR abs/2206.09522 (2022) - [i9]Ramneet Kaur, Kaustubh Sridhar, Sangdon Park, Susmit Jha, Anirban Roy, Oleg Sokolsky, Insup Lee:
CODiT: Conformal Out-of-Distribution Detection in Time-Series Data. CoRR abs/2207.11769 (2022) - [i8]Adam D. Cobb, Anirban Roy, Daniel Elenius, Susmit Jha:
Design of Unmanned Air Vehicles Using Transformer Surrogate Models. CoRR abs/2211.08138 (2022) - [i7]Aniket Roy, Anshul Shah, Ketul Shah, Anirban Roy, Rama Chellappa:
DiffAlign : Few-shot learning using diffusion based synthesis and alignment. CoRR abs/2212.05404 (2022) - 2021
- [j9]Benyamin Grosman, Di Wu, Neha Parikh, Anirban Roy, Gayane Voskanyan, Natalie Kurtz, Jeppe Sturis, Ohad Cohen, Magnus Ekelund, Robert A. Vigersky:
Fast-acting insulin aspart (Fiasp®) improves glycemic outcomes when used with MiniMedTM 670G hybrid closed-loop system in simulated trials compared to NovoLog®. Comput. Methods Programs Biomed. 205: 106087 (2021) - [c15]Panagiota Kiourti, Wenchao Li, Anirban Roy, Karan Sikka, Susmit Jha:
MISA: Online Defense of Trojaned Models using Misattributions. ACSAC 2021: 570-585 - [c14]Susmit Jha, Anirban Roy:
On Detection of Out of Distribution Inputs in Deep Neural Networks. CogMI 2021: 282-288 - [i6]Ramneet Kaur, Susmit Jha, Anirban Roy, Oleg Sokolsky, Insup Lee:
Are all outliers alike? On Understanding the Diversity of Outliers for Detecting OODs. CoRR abs/2103.12628 (2021) - [i5]Panagiota Kiourti, Wenchao Li, Anirban Roy, Karan Sikka, Susmit Jha:
Online Defense of Trojaned Models using Misattributions. CoRR abs/2103.15918 (2021) - [i4]Ramneet Kaur, Susmit Jha, Anirban Roy, Sangdon Park, Oleg Sokolsky, Insup Lee:
Detecting OODs as datapoints with High Uncertainty. CoRR abs/2108.06380 (2021) - 2020
- [j8]Alqamah Sayeed, Yunsoo Choi, Ebrahim Eslami, Yannic Lops, Anirban Roy, Jia Jung:
Using a deep convolutional neural network to predict 2017 ozone concentrations, 24 hours in advance. Neural Networks 121: 396-408 (2020) - [c13]Devjyoti Nath, Anirban Roy, Sumitra Kumari Shaw, Amlan Ghorai, Shanta Phani:
Textual Lyrics Based Emotion Analysis of Bengali Songs. ICDM (Workshops) 2020: 39-44 - [i3]Karan Sikka, Indranil Sur, Susmit Jha, Anirban Roy, Ajay Divakaran:
Detecting Trojaned DNNs Using Counterfactual Attributions. CoRR abs/2012.02275 (2020)
2010 – 2019
- 2019
- [c12]Samyak Datta, Karan Sikka, Anirban Roy, Karuna Ahuja, Devi Parikh, Ajay Divakaran:
Align2Ground: Weakly Supervised Phrase Grounding Guided by Image-Caption Alignment. ICCV 2019: 2601-2610 - [i2]Samyak Datta, Karan Sikka, Anirban Roy, Karuna Ahuja, Devi Parikh, Ajay Divakaran:
Align2Ground: Weakly Supervised Phrase Grounding Guided by Image-Caption Alignment. CoRR abs/1903.11649 (2019) - 2018
- [c11]Anirban Roy, Sinisa Todorovic:
Learning to Learn Second-Order Back-Propagation for CNNs Using LSTMs. ICPR 2018: 97-102 - [i1]Karuna Ahuja, Karan Sikka, Anirban Roy, Ajay Divakaran:
Understanding Visual Ads by Aligning Symbols and Objects using Co-Attention. CoRR abs/1807.01448 (2018) - 2017
- [j7]Kamuran Turksoy, Anirban Roy, Ali Cinar:
Real-Time Model-Based Fault Detection of Continuous Glucose Sensor Measurements. IEEE Trans. Biomed. Eng. 64(7): 1437-1445 (2017) - [c10]Anirban Roy, Sinisa Todorovic:
Combining Bottom-Up, Top-Down, and Smoothness Cues for Weakly Supervised Image Segmentation. CVPR 2017: 7282-7291 - [c9]Anirban Roy, Neetesh K. Sharma, Arup Lal Chakraborty, Abhishek Upadhyay:
Current scenario of ambient carbon dioxide levels at multiple locations in urban Ahmedabad revealed by a 2004 nm tunable diode laser spectroscopy system. IEEE SENSORS 2017: 1-3 - 2016
- [j6]Anirban Roy, Debjani Mitra:
Multi-target trackers using cubature Kalman filter for Doppler radar tracking in clutter. IET Signal Process. 10(8): 888-901 (2016) - [c8]Anirban Roy, Sinisa Todorovic:
Monocular Depth Estimation Using Neural Regression Forest. CVPR 2016: 5506-5514 - [c7]Anirban Roy, Sinisa Todorovic:
A Multi-scale CNN for Affordance Segmentation in RGB Images. ECCV (4) 2016: 186-201 - [c6]Anirban Roy, Sinisa Todorovic, Longin Jan Latecki:
Context-regularized learning of fully convolutional networks for scene labeling. ICPR 2016: 3751-3756 - 2014
- [c5]Anirban Roy, Sinisa Todorovic:
Scene Labeling Using Beam Search under Mutex Constraints. CVPR 2014: 1178-1185 - 2012
- [j5]Angelo Lucia, Brian M. Bonk, Richard R. Waterman, Anirban Roy:
A multi-scale framework for multi-phase equilibrium flash. Comput. Chem. Eng. 36: 79-98 (2012) - 2011
- [c4]Apurba Das, Anirban Roy, Kuntal Ghosh:
Proposing a CNN Based Architecture of Mid-level Vision for Feeding the WHERE and WHAT Pathways in the Brain. SEMCCO (1) 2011: 559-568 - 2010
- [j4]Sujit K. Choudhary, Sibasish Ghosh, Guruprasad Kar, Samir Kunkri, Ramij Rahaman, Anirban Roy:
Hardy's non-locality and generalized non-local theory. Quantum Inf. Comput. 10(9&10): 859-871 (2010) - [c3]Anirban Roy, Robert S. Parker:
A phenomenological model of plasma FFA, glucose, and insulin concentrations during rest and exercise. ACC 2010: 5161-5166
2000 – 2009
- 2009
- [c2]Amit Agarwal, Hema Swetha Koppula, Krishna P. Leela, Krishna Prasad Chitrapura, Sachin Garg, Pavan Kumar GM, Chittaranjan Haty, Anirban Roy, Amit Sasturkar:
URL normalization for de-duplication of web pages. CIKM 2009: 1987-1990 - 2007
- [j3]Samir Kunkri, Guruprasad Kar, Sibasish Ghosh, Anirban Roy:
Winning strategies for pseudo-telepathy games using single non-local box. Quantum Inf. Comput. 7(4): 319-328 (2007) - 2006
- [c1]Anirban Roy, Robert S. Parker:
Mixed Meal Modeling and Disturbance Rejection in Type I Diabetic Patients. EMBC 2006: 323-326 - 2001
- [j2]Anirban Roy, Pallapa Venkataram:
Design of a Link Control Protocol for Multimedia Services in Wireless Local Communication. Wirel. Pers. Commun. 18(3): 247-274 (2001)
1990 – 1999
- 1999
- [j1]Anirban Roy, Pallapa Venkataram:
A multiple access scheme for VBR traffic in broadband wireless local communication. Comput. Commun. 22(4): 353-360 (1999)
Coauthor Index
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