:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	F, Clifford, Jay, Devika, Sarkar, Abhishek, Perepu, Satheesh K, S, Santhosh G, Dey, Kaushik, Ravindran, Balaraman
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2512.06917
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Towards Adaptive IMFs -- Generalization of utility functions in Multi-Agent Frameworks
by: Dey, Kaushik, et al.
Published: (2024)

Generalized Adaptive Transfer Network: Enhancing Transfer Learning in Reinforcement Learning Across Domains
by: Verma, Abhishek, et al.
Published: (2025)

Learning Interpretable Models Using Uncertainty Oracles
by: Ghose, Abhishek, et al.
Published: (2019)

Adaptive Action Duration with Contextual Bandits for Deep Reinforcement Learning in Dynamic Environments
by: Verma, Abhishek, et al.
Published: (2025)

SafeMIL: Learning Offline Safe Imitation Policy from Non-Preferred Trajectories
by: Burnwal, Returaj, et al.
Published: (2025)

SWAN: Sparse Winnowed Attention for Reduced Inference Memory via Decompression-Free KV-Cache Compression
by: S, Santhosh G, et al.
Published: (2025)

AQUA: Attention via QUery mAgnitudes for Memory and Compute Efficient Inference in LLMs
by: S, Santhosh G, et al.
Published: (2025)

OSIL: Learning Offline Safe Imitation Policies with Safety Inferred from Non-preferred Trajectories
by: Burnwal, Returaj, et al.
Published: (2026)

Advanced Machine Learning Framework for Efficient Plant Disease Prediction
by: Muthuselvam, Aswath, et al.
Published: (2024)

CosmoCore Affective Dream-Replay Reinforcement Learning for Code Generation
by: Ravindran, Santhosh Kumar
Published: (2025)

LExT: Towards Evaluating Trustworthiness of Natural Language Explanations
by: Shailya, Krithi, et al.
Published: (2025)

CosmoCore-Evo: Evolutionary Dream-Replay Reinforcement Learning for Adaptive Code Generation
by: Ravindran, Santhosh Kumar
Published: (2025)

Unifying Model-Free Efficiency and Model-Based Representations via Latent Dynamics
by: Acharjee, Jashaswimalya, et al.
Published: (2026)

IndiCASA: A Dataset and Bias Evaluation Framework in LLMs Using Contrastive Embedding Similarity in the Indian Context
by: S, Santhosh G, et al.
Published: (2025)

MABL: Bi-Level Latent-Variable World Model for Sample-Efficient Multi-Agent Reinforcement Learning
by: Venugopal, Aravind, et al.
Published: (2023)

Portable Agent Memory: A Protocol for Cryptographically-Verified Memory Transfer Across Heterogeneous AI Agents
by: Ravindran, Santhosh Kumar
Published: (2026)

Unified Threat Detection and Mitigation Framework (UTDMF): Combating Prompt Injection, Deception, and Bias in Enterprise-Scale Transformers
by: KumarRavindran, Santhosh
Published: (2025)

Adversarial Activation Patching: A Framework for Detecting and Mitigating Emergent Deception in Safety-Aligned Transformers
by: Ravindran, Santhosh Kumar
Published: (2025)

Moral Anchor System: A Predictive Framework for AI Value Alignment and Drift Prevention
by: Ravindran, Santhosh Kumar
Published: (2025)

Loss Knows Best: Detecting Annotation Errors in Videos via Loss Trajectories
by: Alwis, Praditha, et al.
Published: (2026)

PREFINE: Preference-Based Implicit Reward and Cost Fine-Tuning for Safety Alignment
by: Verma, Richa, et al.
Published: (2026)

A semantic-based deep learning approach for mathematical expression retrieval
by: Perepu, Pavan Kumar
Published: (2025)

Pack and Detect: Fast Object Detection in Videos Using Region-of-Interest Packing
by: Kumar, Athindran Ramesh, et al.
Published: (2018)

QuAKE: Speeding up Model Inference Using Quick and Approximate Kernels for Exponential Non-Linearities
by: Narayanaswami, Sai Kiran, et al.
Published: (2024)

Learning from Observation: A Survey of Recent Advances
by: Burnwal, Returaj, et al.
Published: (2025)

Finding the Muses: Identifying Coresets through Loss Trajectories
by: Nagaraj, Manish, et al.
Published: (2025)

Theoretical Analysis of Power-law Transformation on Images for Text Polarity Detection
by: Yadav, Narendra Singh, et al.
Published: (2025)

Where Should I Study? Biased Language Models Decide! Evaluating Fairness in LMs for Academic Recommendations
by: Shailya, Krithi, et al.
Published: (2025)

Adaptive MPC for Constrained Trajectory Tracking of Uncertain LTI System with Input-Rate Limits
by: Dey, Bishal, et al.
Published: (2026)

Artefact Analysis of Multistatic Three-Dimensional SAR Imaging with Two Linear Trajectories
by: Andre, Daniel, et al.
Published: (2025)

Policy-Based Trajectory Clustering in Offline Reinforcement Learning
by: Hu, Hao, et al.
Published: (2025)

Identification Over Noisy Permutation Channels
by: Sarkar, Abhishek, et al.
Published: (2024)

Identification over Permutation Channels
by: Sarkar, Abhishek, et al.
Published: (2024)

In-Trajectory Inverse Reinforcement Learning: Learn Incrementally Before An Ongoing Trajectory Terminates
by: Liu, Shicheng, et al.
Published: (2024)

Participatory Approaches in AI Development and Governance: Case Studies
by: Parthasarathy, Ambreesh, et al.
Published: (2024)

mFARM: Towards Multi-Faceted Fairness Assessment based on HARMs in Clinical Decision Support
by: Adappanavar, Shreyash, et al.
Published: (2025)

Consistency Trajectory Planning: High-Quality and Efficient Trajectory Optimization for Offline Model-Based Reinforcement Learning
by: Wang, Guanquan, et al.
Published: (2025)

A View of the Certainty-Equivalence Method for PAC RL as an Application of the Trajectory Tree Method
by: Kalyanakrishnan, Shivaram, et al.
Published: (2025)

Contrast & Compress: Learning Lightweight Embeddings for Short Trajectories
by: Vivekanandan, Abhishek, et al.
Published: (2025)

TrajAD: Trajectory Anomaly Detection for Trustworthy LLM Agents
by: Liu, Yibing, et al.
Published: (2026)