Xinyu Wu | DeepAI

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Raquel Urtasun
135 publications
Yi Zhou
114 publications
Mengye Ren
37 publications
Yuval Filmus
29 publications
Wei-Chiu Ma
28 publications
Tselil Schramm
23 publications
Ryan O'Donnell
22 publications
Jin-Kao Hao
21 publications
Sergio Casas
20 publications
Hui Shen
13 publications
Abbas Sadat
10 publications

∙ 09/20/2023

Practical Probabilistic Model-based Deep Reinforcement Learning by Integrating Dropout Uncertainty and Trajectory Sampling

This paper addresses the prediction stability, prediction accuracy and c...

0 Wenjun Huang, et al. ∙

∙ 08/28/2023

Evaluating the Robustness to Instructions of Large Language Models

Recently, Instruction fine-tuning has risen to prominence as a potential...

0 Yuansheng Ni, et al. ∙

∙ 02/24/2022

A Partition-and-Merge Algorithm for Solving the Steiner Tree Problem in Large Graphs

The Steiner tree problem, which asks for a minimum weighted tree spannin...

0 Xinyu Wu, et al. ∙

∙ 09/06/2021

Analyzing XOR-Forrelation through stochastic calculus

In this note we present a simplified analysis of the quantum and classic...

0 Xinyu Wu, et al. ∙

∙ 08/02/2021

The SDP value of random 2CSPs

We consider a very wide class of models for sparse random Boolean 2CSPs;...

0 Amulya Musipatla, et al. ∙

∙ 03/28/2021

MergeComp: A Compression Scheduler for Scalable Communication-Efficient Distributed Training

Large-scale distributed training is increasingly becoming communication ...

0 Zhuang Wang, et al. ∙

∙ 12/29/2020

Real-time Whole-body Obstacle Avoidance for 7-DOF Redundant Manipulators

Mainly because of the heavy computational costs, the real-time whole-bod...

0 Dake Zheng, et al. ∙

∙ 12/29/2020

Dynamical Systems based Obstacle Avoidance with Workspace Constraint for Manipulators

In this paper, based on Dynamical Systems (DS), we present an obstacle a...

0 Dake Zheng, et al. ∙

∙ 12/22/2020

DAGMapper: Learning to Map by Discovering Lane Topology

One of the fundamental challenges to scale self-driving is being able to...

1 Namdar Homayounfar, et al. ∙

∙ 09/05/2020

Explicit near-fully X-Ramanujan graphs

Let p(Y_1, …, Y_d, Z_1, …, Z_e) be a self-adjoint noncommutative polynom...

0 Ryan O'Donnell, et al. ∙

∙ 08/13/2020

Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations

In this paper we propose a novel end-to-end learnable network that perfo...

4 Abbas Sadat, et al. ∙

∙ 07/05/2020

A stochastic calculus approach to the oracle separation of BQP and PH

After presentations of Raz and Tal's oracle separation of BQP and PH res...

0 Xinyu Wu, et al. ∙

∙ 09/10/2018

A log-Sobolev inequality for the multislice, with applications

Let κ∈N_+^ℓ satisfy κ_1 + ... + κ_ℓ = n and let U_κ denote the "multisli...

0 Yuval Filmus, et al. ∙

∙ 02/07/2018

Energy-Efficient CMOS Memristive Synapses for Mixed-Signal Neuromorphic System-on-a-Chip

Emerging non-volatile memory (NVM), or memristive, devices promise energ...

0 Vishal Saxena, et al. ∙

∙ 01/09/2018

Dendritic-Inspired Processing Enables Bio-Plausible STDP in Compound Binary Synapses

Brain-inspired learning mechanisms, e.g. spike timing dependent plastici...

0 Xinyu Wu, et al. ∙

∙ 12/05/2016

Enabling Bio-Plausible Multi-level STDP using CMOS Neurons with Dendrites and Bistable RRAMs

Large-scale integration of emerging nanoscale non-volatile memory device...

0 Xinyu Wu, et al. ∙

∙ 06/02/2015

Homogeneous Spiking Neuromorphic System for Real-World Pattern Recognition

A neuromorphic chip that combines CMOS analog spiking neurons and memris...

0 Xinyu Wu, et al. ∙

∙ 06/02/2015

A CMOS Spiking Neuron for Dense Memristor-Synapse Connectivity for Brain-Inspired Computing

Neuromorphic systems that densely integrate CMOS spiking neurons and nan...

0 Xinyu Wu, et al. ∙

∙ 05/28/2015

A CMOS Spiking Neuron for Brain-Inspired Neural Networks with Resistive Synapses and In-Situ Learning

Nanoscale resistive memories are expected to fuel dense integration of e...

0 Xinyu Wu, et al. ∙

∙ 06/01/2014

l_1-regularized Outlier Isolation and Regression

This paper proposed a new regression model called l_1-regularized outlie...

0 Sheng Han, et al. ∙

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