4 citations · 9 across the 13 of their papers we have counts for
14 papers
Direction-Conditioned Policies for Online Goal-Conditioned Reinforcement Learning
S K Swaminathan, Damiya Gondha, Theyanesh Eswaramoorthy Rajahkrishnan +1
Contrastive Reinforcement Learning (CRL) learns representations that estimate goal reachability, yet its policy remains conditioned on raw goals and therefore does not directly exp…
ProCap: Prominence-guided Object Rectification for Faithful and Comprehensive Video Captioning
Debjyoti Das Adhikary, Aritra Hazra, Partha Pratim Chakrabarti
Improving video captioning quality typically demands retraining large vision-language models, an expensive and often impractical requirement. Existing training-free alternatives in…
BackgroundMellow: A Multi-Modal Cohesive Framework for Narrative-Driven Rich Cinematic Soundscape Generation
Ajitesh Jamulkar, Aritra Hazra
Generating immersive, synchronized and cinematic audio for long-form textual narratives remains a significant challenge in multi-modal AI. While current Text-to-Audio (TTA) framewo…
Direction-Conditioned Policies via Compositional Subgoal Scoring for Online Goal-Conditioned Reinforcement Learning
Swaminathan S K, Damiya Gondha, Theyanesh Eswaramoorthy Rajahkrishnan +1
Hamilton-Jacobi-Bellman theory implies that the optimal goal-conditioned action depends on the goal only through the gradient of the goal-reaching distance at the current state, ye…
SPAARS: Safer RL Policy Alignment through Abstract Exploration and Refined Exploitation of Action Space
Swaminathan S K, Aritra Hazra
Offline-to-online reinforcement learning (RL) offers a promising paradigm for robotics by pre-training policies on safe, offline demonstrations and fine-tuning them via online inte…
ReFrame: Rectification Framework for Image Explaining Architectures
Debjyoti Das Adhikary, Aritra Hazra, Partha Pratim Chakrabarti
Image explanation has been one of the key research interests in the Deep Learning field. Throughout the years, several approaches have been adopted to explain an input image fed by…
DiffClone: Enhanced Behaviour Cloning in Robotics with Diffusion-Driven Policy Learning
Sabariswaran Mani, Sreyas Venkataraman, Abhranil Chandra +4
Robot learning tasks are extremely compute-intensive and hardware-specific. Thus the avenues of tackling these challenges, using a diverse dataset of offline demonstrations that ca…
Towards Adversarial Purification using Denoising AutoEncoders
Dvij Kalaria, Aritra Hazra, Partha Pratim Chakrabarti
With the rapid advancement and increased use of deep learning models in image identification, security becomes a major concern to their deployment in safety-critical systems. Since…
Formal Methods for Characterization and Analysis of Quality Specifications in Component-based Systems
Aritra Hazra
Component-based design paradigm is of paramount importance due to prolific growth in the complexity of modern-day systems. Since the components are developed primarily by multi-par…
Optimal Multi-Agent Path Finding for Precedence Constrained Planning Tasks
Kushal Kedia, Rajat Kumar Jenamani, Aritra Hazra +1
Multi-Agent Path Finding (MAPF) is the problem of finding collision-free paths for multiple agents from their start locations to end locations. We consider an extension to this pro…
Detecting Adversaries, yet Faltering to Noise? Leveraging Conditional Variational AutoEncoders for Adversary Detection in the Presence of Noisy Images
Dvij Kalaria, Aritra Hazra, Partha Pratim Chakrabarti
With the rapid advancement and increased use of deep learning models in image identification, security becomes a major concern to their deployment in safety-critical systems. Since…
Methodology for Biasing Random Simulation for Rapid Coverage of Corner Cases in AMS Designs
Sayandeep Sanyal, Ayan Chakraborty, Pallab Dasgupta +1
Exploring the limits of an Analog and Mixed Signal (AMS) circuit by driving appropriate inputs has been a serious challenge to the industry. Doing an exhaustive search of the entir…
Early-Stage Resource Estimation from Functional Reliability Specification in Embedded Cyber-Physical Systems
Ginju V. George, Aritra Hazra, Pallab Dasgupta +1
Reliability and fault tolerance are critical attributes of embedded cyber-physical systems that require a high safety-integrity level. For such systems, the use of formal functiona…
Testability Analysis of PUFs Leveraging Correlation-Spectra in Boolean Functions
Durba Chatterjee, Aritra Hazra, Debdeep Mukhopadhyay
Testability of digital ICs rely on the principle of controllability and observability. Adopting conventional techniques like scan-chains open up avenues for attacks, and hence cann…