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Akash Srivastava

Spectrum-Aware Parameter Efficient Fine-Tuning for Diffusion Models

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May 31, 2024
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LInK: Learning Joint Representations of Design and Performance Spaces through Contrastive Learning for Mechanism Synthesis

May 31, 2024
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Adapting Differentially Private Synthetic Data to Relational Databases

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May 29, 2024
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Value Augmented Sampling for Language Model Alignment and Personalization

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May 10, 2024
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LAB: Large-Scale Alignment for ChatBots

Mar 06, 2024
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Curiosity-driven Red-teaming for Large Language Models

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Feb 29, 2024
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Learning to Deliver: a Foundation Model for the Montreal Capacitated Vehicle Routing Problem

Feb 28, 2024
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Private Synthetic Data Meets Ensemble Learning

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Oct 15, 2023
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Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets

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Oct 12, 2023
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Compositional Foundation Models for Hierarchical Planning

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Sep 21, 2023
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