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Niraj K. Jha

Department of Electrical and Computer Engineering, Princeton University

CONFINE: Conformal Prediction for Interpretable Neural Networks

Jun 01, 2024
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Attention-Driven Training-Free Efficiency Enhancement of Diffusion Models

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May 08, 2024
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DynaMo: Accelerating Language Model Inference with Dynamic Multi-Token Sampling

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May 01, 2024
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PAGE: Domain-Incremental Adaptation with Past-Agnostic Generative Replay for Smart Healthcare

Mar 13, 2024
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TAD-SIE: Sample Size Estimation for Clinical Randomized Controlled Trials using a Trend-Adaptive Design with a Synthetic-Intervention-Based Estimator

Jan 08, 2024
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BREATHE: Second-Order Gradients and Heteroscedastic Emulation based Design Space Exploration

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Aug 16, 2023
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Zero-TPrune: Zero-Shot Token Pruning through Leveraging of the Attention Graph in Pre-Trained Transformers

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May 27, 2023
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Im-Promptu: In-Context Composition from Image Prompts

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May 26, 2023
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DOCTOR: A Multi-Disease Detection Continual Learning Framework Based on Wearable Medical Sensors

May 09, 2023
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SECRETS: Subject-Efficient Clinical Randomized Controlled Trials using Synthetic Intervention

May 08, 2023
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