Akash Srivastava

15

Papers

796

Total Citations

Papers (15)

VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning

NeurIPS 2017arXiv

Curiosity-driven Red-teaming for Large Language Models

Scalable Spike Source Localization in Extracellular Recordings using Amortized Variational Inference

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

Targeted Neural Dynamical Modeling

Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets

Compositional Foundation Models for Hierarchical Planning

Towards robust and generalizable representations of extracellular data using contrastive learning

Identifiability Guarantees for Causal Disentanglement from Soft Interventions

Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation

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

Analyzing Generalization of Neural Networks through Loss Path Kernels

Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam

Variational Russian Roulette for Deep Bayesian Nonparametrics

HOUDINI: Lifelong Learning as Program Synthesis