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Home/Authors/Akash Srivastava

Akash Srivastava

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 15, 2026, 3:11 AM AMS

13

papers

457

total citations

papers (13)

Compositional Foundation Models for Hierarchical Planning

NEURIPS 2023arXiv

Identifiability Guarantees for Causal Disentanglement from Soft Interventions

NEURIPS 2023arXiv

Curiosity-driven Red-teaming for Large Language Models

Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation

NEURIPS 2023arXiv

Targeted Neural Dynamical Modeling

NEURIPS 2021arXiv

Unveiling the Secret Recipe: A Guide For Supervised Fine-Tuning Small LLMs

Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets

NEURIPS 2023arXiv

Post-processing Private Synthetic Data for Improving Utility on Selected Measures

NEURIPS 2023arXiv

A Probabilistic Framework for Modular Continual Learning

SQuat: Subspace-orthogonal KV Cache Quantization

Analyzing Generalization of Neural Networks through Loss Path Kernels

Towards robust and generalizable representations of extracellular data using contrastive learning

A Bayesian-Symbolic Approach to Reasoning and Learning in Intuitive Physics