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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...
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08/28/2023
Evaluating the Robustness to Instructions of Large Language Models
Recently, Instruction fine-tuning has risen to prominence as a potential...
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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...
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09/06/2021
Analyzing XOR-Forrelation through stochastic calculus
In this note we present a simplified analysis of the quantum and classic...
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08/02/2021
The SDP value of random 2CSPs
We consider a very wide class of models for sparse random Boolean 2CSPs;...
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03/28/2021
MergeComp: A Compression Scheduler for Scalable Communication-Efficient Distributed Training
Large-scale distributed training is increasingly becoming communication ...
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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...
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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...
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12/22/2020
DAGMapper: Learning to Map by Discovering Lane Topology
One of the fundamental challenges to scale self-driving is being able to...
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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...
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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...
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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...
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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...
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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...
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01/09/2018
Dendritic-Inspired Processing Enables Bio-Plausible STDP in Compound Binary Synapses
Brain-inspired learning mechanisms, e.g. spike timing dependent plastici...
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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...
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06/02/2015
Homogeneous Spiking Neuromorphic System for Real-World Pattern Recognition
A neuromorphic chip that combines CMOS analog spiking neurons and memris...
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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...
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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...
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06/01/2014
