A family of user-programmable peripherals with a functional unit architecture. - Alexander S. Shubat; Cuong Q. Trinh; Arkady Zaliznyak; Arye Ziklik; Anirban Roy; Reza Kazerounian; Y. Cedar; Boaz Eitan (IEEE J. Solid State Circuits, 1992)

A multiple access scheme for VBR traffic in broadband wireless local communication. - Anirban Roy; Pallapa Venkataram (Comput. Commun., 1999)

Design of a Link Control Protocol for Multimedia Services in Wireless Local Communication. - Anirban Roy; Pallapa Venkataram (Wirel. Pers. Commun., 2001)

Mixed Meal Modeling and Disturbance Rejection in Type I Diabetic Patients. - Anirban Roy; Robert S. Parker (EMBC, 2006)

Winning strategies for pseudo-telepathy games using single non-local box. - Samir Kunkri; Guruprasad Kar; Sibasish Ghosh; Anirban Roy (Quantum Inf. Comput., 2007)

URL normalization for de-duplication of web pages. - Amit Agarwal; Hema Swetha Koppula; Krishna P. Leela; Krishna Prasad Chitrapura; Sachin Garg; Pavan Kumar GM; Chittaranjan Haty; Anirban Roy; Amit Sasturkar (CIKM, 2009)

A phenomenological model of plasma FFA, glucose, and insulin concentrations during rest and exercise. - Anirban Roy; Robert S. Parker (ACC, 2010)

Hardy's non-locality and generalized non-local theory. - Sujit K. Choudhary; Sibasish Ghosh; Guruprasad Kar; Samir Kunkri; Ramij Rahaman; Anirban Roy (Quantum Inf. Comput., 2010)

Proposing a CNN Based Architecture of Mid-level Vision for Feeding the WHERE and WHAT Pathways in the Brain. - Apurba Das; Anirban Roy; Kuntal Ghosh (SEMCCO (1), 2011)

A multi-scale framework for multi-phase equilibrium flash. - Angelo Lucia; Brian M. Bonk; Richard R. Waterman; Anirban Roy (Comput. Chem. Eng., 2012)

Scene Labeling Using Beam Search under Mutex Constraints. - Anirban Roy; Sinisa Todorovic (CVPR, 2014)

Monocular Depth Estimation Using Neural Regression Forest. - Anirban Roy; Sinisa Todorovic (CVPR, 2016)

A Multi-scale CNN for Affordance Segmentation in RGB Images. - Anirban Roy; Sinisa Todorovic (ECCV (4), 2016)

Context-regularized learning of fully convolutional networks for scene labeling. - Anirban Roy; Sinisa Todorovic; Longin Jan Latecki (ICPR, 2016)

Multi-target trackers using cubature Kalman filter for Doppler radar tracking in clutter. - Anirban Roy; Debjani Mitra (IET Signal Process., 2016)

Combining Bottom-Up, Top-Down, and Smoothness Cues for Weakly Supervised Image Segmentation. - Anirban Roy; Sinisa Todorovic (CVPR, 2017)

Current scenario of ambient carbon dioxide levels at multiple locations in urban Ahmedabad revealed by a 2004 nm tunable diode laser spectroscopy system. - Anirban Roy; Neetesh K. Sharma; Arup Lal Chakraborty; Abhishek Upadhyay (IEEE SENSORS, 2017)

Real-Time Model-Based Fault Detection of Continuous Glucose Sensor Measurements. - Kamuran Turksoy; Anirban Roy; Ali Cinar (IEEE Trans. Biomed. Eng., 2017)

Learning to Learn Second-Order Back-Propagation for CNNs Using LSTMs. - Anirban Roy; Sinisa Todorovic (ICPR, 2018)

Understanding Visual Ads by Aligning Symbols and Objects using Co-Attention. - Karuna Ahuja; Karan Sikka; Anirban Roy; Ajay Divakaran (CoRR, 2018)

Align2Ground: Weakly Supervised Phrase Grounding Guided by Image-Caption Alignment. - Samyak Datta; Karan Sikka; Anirban Roy; Karuna Ahuja; Devi Parikh; Ajay Divakaran (ICCV, 2019)

Textual Lyrics Based Emotion Analysis of Bengali Songs. - Devjyoti Nath; Anirban Roy; Sumitra Kumari Shaw; Amlan Ghorai; Shanta Phani (ICDM (Workshops), 2020)

Using a deep convolutional neural network to predict 2017 ozone concentrations, 24 hours in advance. - Alqamah Sayeed; Yunsoo Choi; Ebrahim Eslami; Yannic Lops; Anirban Roy; Jia Jung (Neural Networks, 2020)

MISA: Online Defense of Trojaned Models using Misattributions. - Panagiota Kiourti; Wenchao Li 001; Anirban Roy; Karan Sikka; Susmit Jha (ACSAC, 2021)

On Detection of Out of Distribution Inputs in Deep Neural Networks. - Susmit Jha; Anirban Roy (CogMI, 2021)

Fast-acting insulin aspart (Fiasp®) improves glycemic outcomes when used with MiniMedTM 670G hybrid closed-loop system in simulated trials compared to NovoLog®. - Benyamin Grosman; Di Wu; Neha Parikh; Anirban Roy; Gayane Voskanyan; Natalie Kurtz; Jeppe Sturis; Ohad Cohen; Magnus Ekelund; Robert A. Vigersky (Comput. Methods Programs Biomed., 2021)

Are all outliers alike? On Understanding the Diversity of Outliers for Detecting OODs. - Ramneet Kaur; Susmit Jha; Anirban Roy; Oleg Sokolsky; Insup Lee 001 (CoRR, 2021)

Online Defense of Trojaned Models using Misattributions. - Panagiota Kiourti; Wenchao Li 001; Anirban Roy; Karan Sikka; Susmit Jha (CoRR, 2021)

Detecting OODs as datapoints with High Uncertainty. - Ramneet Kaur; Susmit Jha; Anirban Roy; Sangdon Park 001; Oleg Sokolsky; Insup Lee 001 (CoRR, 2021)

iDECODe: In-Distribution Equivariance for Conformal Out-of-Distribution Detection. - Ramneet Kaur; Susmit Jha; Anirban Roy; Sangdon Park 001; Edgar Dobriban; Oleg Sokolsky; Insup Lee 001 (AAAI, 2022)

Detecting Out-Of-Context Objects Using Graph Contextual Reasoning Network. - Manoj Acharya; Anirban Roy; Kaushik Koneripalli; Susmit Jha; Christopher Kanan; Ajay Divakaran (IJCAI, 2022)

Detecting out-of-context objects using contextual cues. - Manoj Acharya; Anirban Roy; Kaushik Koneripalli; Susmit Jha; Christopher Kanan; Ajay Divakaran (CoRR, 2022)

Multiple Testing Framework for Out-of-Distribution Detection. - Akshayaa Magesh; Venugopal V. Veeravalli; Anirban Roy; Susmit Jha (CoRR, 2022)

CODiT: Conformal Out-of-Distribution Detection in Time-Series Data. - Ramneet Kaur; Kaustubh Sridhar; Sangdon Park 001; Susmit Jha; Anirban Roy; Oleg Sokolsky; Insup Lee 001 (CoRR, 2022)

Design of Unmanned Air Vehicles Using Transformer Surrogate Models. - Adam D. Cobb; Anirban Roy; Daniel Elenius; Susmit Jha (CoRR, 2022)

DiffAlign : Few-shot learning using diffusion based synthesis and alignment. - Aniket Roy; Anshul Shah; Ketul Shah; Anirban Roy; Rama Chellappa (CoRR, 2022)

Recognition of co-existence pattern of salt marshes and mangroves for littoral forest restoration. - Moumita Ghosh; Kartick Chandra Mondal; Anirban Roy (Ecol. Informatics, 2022)

Knowledge Discovery of Sundarban Mangrove Species: A Way Forward for Managing Species Biodiversity. - Moumita Ghosh; Anirban Roy; Kartick Chandra Mondal (SN Comput. Sci., 2022)

An Introduction to KDB: Knowledge Discovery in Biodiversity. - Moumita Ghosh; Sourav Mondal; Anirban Roy; Kartick Chandra Mondal (CICBA (2), 2023)

Class Prototypes based Contrastive Learning for Classifying Multi-Label and Fine-Grained Educational Videos. - Rohit Gupta 012; Anirban Roy; Claire Christensen; Sujeong Kim; Sarah Gerard; Madeline Cincebeaux; Ajay Divakaran; Todd Grindal; Mubarak Shah (CVPR, 2023)

Predicting Out-of-Distribution Performance of Deep Neural Networks Using Model Conformance. - Ramneet Kaur; Susmit Jha; Anirban Roy; Oleg Sokolsky; Insup Lee 001 (ICAA, 2023)

Detecting Trojaned DNNs Using Counterfactual Attributions. - Karan Sikka; Indranil Sur; Anirban Roy; Ajay Divakaran; Susmit Jha (ICAA, 2023)

An Approach to Detect Air Quality using Machine Learning and Data Analysis Tools. - Anirban Roy; Mehnaz Rashid Mim (ICCCNT, 2023)

CODiT: Conformal Out-of-Distribution Detection in Time-Series Data for Cyber-Physical Systems. - Ramneet Kaur; Kaustubh Sridhar; Sangdon Park 001; Yahan Yang; Susmit Jha; Anirban Roy; Oleg Sokolsky; Insup Lee 001 (ICCPS, 2023)

TIJO: Trigger Inversion with Joint Optimization for Defending Multimodal Backdoored Models. - Indranil Sur; Karan Sikka; Matthew Walmer; Kaushik Koneripalli; Anirban Roy; Xiao Lin; Ajay Divakaran; Susmit Jha (ICCV, 2023)

Multirotor VTOL and Tilt Rotor Transition to Fixed Wing. - Salahudden Salahudden; Pramath Bhatt; Khushali Patil; Abhishek Ghosh Roy; Anirban Roy (ICSC, 2023)

Principled OOD Detection via Multiple Testing. - Akshayaa Magesh; Venugopal V. Veeravalli; Anirban Roy; Susmit Jha (ISIT, 2023)

Challenges and Opportunities in Neuro-Symbolic Composition of Foundation Models. - Susmit Jha; Anirban Roy; Adam D. Cobb; Alexander M. Berenbeim; Nathaniel D. Bastian (MILCOM, 2023)

AircraftVerse: A Large-Scale Multimodal Dataset of Aerial Vehicle Designs. - 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 (NeurIPS, 2023)

Automatic Measures for Evaluating Generative Design Methods for Architects. - Eric Yeh; Briland Hitaj; Vidyasagar Sadhu; Anirban Roy; Takuma Nakabayashi; Yoshito Tsuji (CoRR, 2023)

Principled Out-of-Distribution Detection via Multiple Testing. - Akshayaa Magesh; Venugopal V. Veeravalli; Anirban Roy; Susmit Jha (J. Mach. Learn. Res., 2023)

Frequent itemset mining using FP-tree: a CLA-based approach and its extended application in biodiversity data. - Moumita Ghosh; Anirban Roy; Pritam Sil; Kartick Chandra Mondal (Innov. Syst. Softw. Eng., 2023)

Direct Amortized Likelihood Ratio Estimation. - Adam D. Cobb; Brian Matejek; Daniel Elenius; Anirban Roy; Susmit Jha (AAAI, 2024)

Shrinking POMCP: A Framework for Real-Time UAV Search and Rescue. - Yunuo Zhang; Baiting Luo; Ayan Mukhopadhyay; Dániel Stojcsics; Daniel Elenius; Anirban Roy; Susmit Jha; Miklos Maroti; Xenofon D. Koutsoukos; Gabor Karsai; Abhishek Dubey (ICAA, 2024)

Bri3L: A Brightness Illusion Image Dataset for Identification and Localization of Regions of Illusory Perception. - Aniket Roy; Anirban Roy; Soma Mitra; Kuntal Ghosh (ICIP, 2024)

Post-hoc Uncertainty Quantification for Neurosymbolic Artificial Intelligence. - Alexander M. Berenbeim; Ramneet Kaur; Adam D. Cobb; Anirban Roy; Susmit Jha; Nathaniel D. Bastian (MILCOM, 2024)

Concept-Based Analysis of Neural Networks via Vision-Language Models. - Ravi Mangal; Nina Narodytska; Divya Gopinath; Boyue Caroline Hu; Anirban Roy; Susmit Jha; Corina S. Pasareanu (SAIV, 2024)

Addressing Uncertainty in LLMs to Enhance Reliability in Generative AI. - Ramneet Kaur; Colin Samplawski; Adam D. Cobb; Anirban Roy; Brian Matejek; Manoj Acharya; Daniel Elenius; Alexander M. Berenbeim; John A. Pavlik; Nathaniel D. Bastian; Susmit Jha (CoRR, 2024)

An irregular CLA-based novel frequent pattern mining approach. - Moumita Ghosh; Sourav Mondal; Harshita Moondra; Dina Tri Utari; Anirban Roy; Kartick Chandra Mondal (Int. J. Data Min. Model. Manag., 2024)

Introducing suffix forest for mining tri-clusters from time-series data. - Kartick Chandra Mondal; Moumita Ghosh; Rohmatul Fajriyah; Anirban Roy (Innov. Syst. Softw. Eng., 2024)

Safety Monitoring for Learning-Enabled Cyber-Physical Systems in Out-of-Distribution Scenarios. - Vivian Lin; Ramneet Kaur; Yahan Yang; Souradeep Dutta; Yiannis Kantaros; Anirban Roy; Susmit Jha; Oleg Sokolsky; Insup Lee 001 (ICCPS, 2025)

Zero-Shot Detection of Out-of-Context Objects Using Foundation Models. - Anirban Roy; Adam D. Cobb; Ramneet Kaur; Sumit Jha 001; Nathaniel D. Bastian; Alexander M. Berenbeim; Robert H. Thomson 001; Iain Cruickshank; Alvaro Velasquez; Susmit Jha (WACV, 2025)

Cap2Aug: Caption Guided Image data Augmentation. - Aniket Roy; Anshul Shah; Ketul Shah; Anirban Roy; Rama Chellappa (WACV, 2025)

Association of IUCN-threatened Indian mangroves: A novel data-driven rule filtering approach for restoration strategy. - Moumita Ghosh; Sourav Mondal; Rohmatul Fajriyah; Kartick Chandra Mondal; Anirban Roy (Ecol. Informatics, 2025)

TeleLoRA: Teleporting Model-Specific Alignment Across LLMs. - Xiao Lin; Manoj Acharya; Anirban Roy; Susmit Jha (CoRR, 2025)

Calibrating Uncertainty Quantification of Multi-Modal LLMs using Grounding. - Trilok Padhi; Ramneet Kaur; Adam D. Cobb; Manoj Acharya; Anirban Roy; Colin Samplawski; Brian Matejek; Alexander M. Berenbeim; Nathaniel D. Bastian; Susmit Jha (CoRR, 2025)

TOGA: Temporally Grounded Open-Ended Video QA with Weak Supervision. - Ayush Gupta; Anirban Roy; Rama Chellappa; Nathaniel D. Bastian; Alvaro Velasquez; Susmit Jha (CoRR, 2025)

The Amazon Nova Family of Models: Technical Report and Model Card. - Amazon AGI; Aaron Langford; Aayush Shah; Abhanshu Gupta; Abhimanyu Bhatter; Abhinav Goyal 004; Abhinav Mathur; Abhinav Mohanty; Abhishek Kumar; Abhishek Sethi; Abi Komma; Abner Pena; et al. (CoRR, 2025)