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Anirban Roy
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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) - [c31]Adam D. Cobb, Brian Matejek, Daniel Elenius, Anirban Roy, Susmit Jha:
Direct Amortized Likelihood Ratio Estimation. AAAI 2024: 20362-20369 - [c30]Yunuo Zhang, Baiting Luo, Ayan Mukhopadhyay, Dániel Stojcsics, Daniel Elenius, Anirban Roy, Susmit Jha, Miklos Maroti, Xenofon D. Koutsoukos, Gabor Karsai, Abhishek Dubey:
Shrinking POMCP: A Framework for Real-Time UAV Search and Rescue. ICAA 2024: 48-57 - [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
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
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
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
Recognition of co-existence pattern of salt marshes and mangroves for littoral forest restoration. Ecol. Informatics 71: 101769 (2022) - [j10]Moumita Ghosh
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
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
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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last updated on 2024-12-17 20:58 CET by the dblp team
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