12 citations · 22 across the 6 of their papers we have counts for
9 papers
Flexible Doubly Robust Proximal Causal Inference for Censored Outcomes
Dhanajit Brahma, Ruolin Meng, Lawrence Carin +1
Estimating causal effects on right-censored time-to-event outcomes is challenging under unmeasured confounding. Proximal causal inference addresses unmeasured confounding through p…
SAGE: A Novelty Gate for Efficient Memory Evolution in Agentic LLMs
Sijia Wang, Dhanajit Brahma, Ricardo Henao
Agentic LLMs must continuously decide whether newly extracted facts should be added, merged with existing memories, or ignored, yet prior work has focused more on retrieval and sto…
Calibrating Model-Based Evaluation Metrics for Summarization
Hongye Liu, Dhanajit Brahma, Ricardo Henao
Recent advances in summary evaluation are based on model-based metrics to assess quality dimensions, such as completeness, conciseness, and faithfulness. However, these methods oft…
Coupling Generative Modeling and an Autoencoder with the Causal Bridge
Ruolin Meng, Ming-Yu Chung, Dhanajit Brahma +2
We consider inferring the causal effect of a treatment (intervention) on an outcome of interest in situations where there is potentially an unobserved confounder influencing both t…
A Probabilistic Framework for Lifelong Test-Time Adaptation
Dhanajit Brahma, Piyush Rai
Test-time adaptation (TTA) is the problem of updating a pre-trained source model at inference time given test input(s) from a different target domain. Most existing TTA approaches…
Hypernetworks for Continual Semi-Supervised Learning
Dhanajit Brahma, Vinay Kumar Verma, Piyush Rai
Learning from data sequentially arriving, possibly in a non i.i.d. way, with changing task distribution over time is called continual learning. Much of the work thus far in continu…
Fine-Grained Emotion Prediction by Modeling Emotion Definitions
Gargi Singh, Dhanajit Brahma, Piyush Rai +1
In this paper, we propose a new framework for fine-grained emotion prediction in the text through emotion definition modeling. Our approach involves a multi-task learning framework…
Deep Attentive Ranking Networks for Learning to Order Sentences
Pawan Kumar, Dhanajit Brahma, Harish Karnick +1
We present an attention-based ranking framework for learning to order sentences given a paragraph. Our framework is built on a bidirectional sentence encoder and a self-attention b…
A Meta-Learning Framework for Generalized Zero-Shot Learning
Vinay Kumar Verma, Dhanajit Brahma, Piyush Rai
Learning to classify unseen class samples at test time is popularly referred to as zero-shot learning (ZSL). If test samples can be from training (seen) as well as unseen classes,…