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08/30/2023
WALL-E: Embodied Robotic WAiter Load Lifting with Large Language Model
Enabling robots to understand language instructions and react accordingl...
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08/23/2023
SILT: Shadow-aware Iterative Label Tuning for Learning to Detect Shadows from Noisy Labels
Existing shadow detection datasets often contain missing or mislabeled s...
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07/28/2023
Quantum-noise-limited optical neural networks operating at a few quanta per activation
Analog physical neural networks, which hold promise for improved energy ...
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07/11/2023
On the Need for a Language Describing Distribution Shifts: Illustrations on Tabular Datasets
Different distribution shifts require different algorithmic and operatio...
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05/23/2023
WYWEB: A NLP Evaluation Benchmark For Classical Chinese
To fully evaluate the overall performance of different NLP models in a g...
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05/19/2023
From Random Search to Bandit Learning in Metric Measure Spaces
Random Search is one of the most widely-used method for Hyperparameter O...
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05/10/2023
Occam Factor for Random Graphs: Erdös-Rényi, Independent Edge, and a Uniparametric Stochastic Blockmodel
We investigate the evidence/flexibility (i.e., "Occam") paradigm and dem...
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05/08/2023
Multi-legged matter transport: a framework for locomotion on noisy landscapes
While the transport of matter by wheeled vehicles or legged robots can b...
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04/17/2023
Mechanical Intelligence Simplifies Control in Terrestrial Limbless Locomotion
Limbless locomotors, from microscopic worms to macroscopic snakes, trave...
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03/24/2023
MoWE: Mixture of Weather Experts for Multiple Adverse Weather Removal
Currently, most adverse weather removal tasks are handled independently,...
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02/20/2023
Optical Transformers
The rapidly increasing size of deep-learning models has caused renewed a...
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02/13/2023
Gait design for limbless obstacle aided locomotion using geometric mechanics
Limbless robots have the potential to maneuver through cluttered environ...
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02/06/2023
Geometry of contact: contact planning for multi-legged robots via spin models duality
Contact planning is crucial in locomoting systems.Specifically, appropri...
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02/03/2023
A Lipschitz Bandits Approach for Continuous Hyperparameter Optimization
One of the most critical problems in machine learning is HyperParameter ...
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12/03/2022
Hedging against Complexity: Distributionally Robust Optimization with Parametric Approximation
Empirical risk minimization (ERM) and distributionally robust optimizati...
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11/23/2022
Sparse2Dense: Learning to Densify 3D Features for 3D Object Detection
LiDAR-produced point clouds are the major source for most state-of-the-a...
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11/23/2022
Video Instance Shadow Detection
Video instance shadow detection aims to simultaneously detect, segment, ...
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11/08/2022
Fast GPU-Based Two-Way Continuous Collision Handling
Step-and-project is a popular way to simulate non-penetrated deformable ...
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10/31/2022
Almost Sure Convergence Rates of Stochastic Zeroth-order Gradient Descent for Łojasiewicz Functions
We prove almost sure convergence rates of Zeroth-order Gradient Descent ...
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10/13/2022
A Direct Approximation of AIXI Using Logical State Abstractions
We propose a practical integration of logical state abstraction with AIX...
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07/27/2022
Image sensing with multilayer, nonlinear optical neural networks
Optical imaging is commonly used for both scientific and technological a...
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07/11/2022
Instance Shadow Detection with A Single-Stage Detector
This paper formulates a new problem, instance shadow detection, which ai...
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06/22/2022
Latent Policies for Adversarial Imitation Learning
This paper considers learning robot locomotion and manipulation tasks fr...
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05/29/2022
Stochastic Zeroth Order Gradient and Hessian Estimators: Variance Reduction and Refined Bias Bounds
We study stochastic zeroth order gradient and Hessian estimators for rea...
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02/03/2022
Generalized Omega Turn Gait Enables Agile Limbless Robot Turning in Complex Environments
Reorientation (turning in plane) plays a critical role for all robots in...
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01/26/2022
Towards Sharp Stochastic Zeroth Order Hessian Estimators over Riemannian Manifolds
We study Hessian estimators for real-valued functions defined over an n-...
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01/19/2022
DMF-Net: Dual-Branch Multi-Scale Feature Fusion Network for copy forgery identification of anti-counterfeiting QR code
Anti-counterfeiting QR codes are widely used in people's work and life, ...
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12/01/2021
A general locomotion control framework for serially connected multi-legged robots
Serially connected robots are promising candidates for performing tasks ...
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10/19/2021
Batched Lipschitz Bandits
In this paper, we study the batched Lipschitz bandit problem, where the ...
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09/03/2021
Towards Accurate Alignment in Real-time 3D Hand-Mesh Reconstruction
3D hand-mesh reconstruction from RGB images facilitates many application...
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08/17/2021
From the Greene–Wu Convolution to Gradient Estimation over Riemannian Manifolds
Over a complete Riemannian manifold of finite dimension, Greene and Wu i...
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06/10/2021
Distributionally Robust Prescriptive Analytics with Wasserstein Distance
In prescriptive analytics, the decision-maker observes historical sample...
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06/10/2021
Spatially Invariant Unsupervised 3D Object Segmentation with Graph Neural Networks
In this paper, we tackle the problem of unsupervised 3D object segmentat...
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04/27/2021
An optical neural network using less than 1 photon per multiplication
Deep learning has rapidly become a widespread tool in both scientific an...
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04/27/2021
Deep physical neural networks enabled by a backpropagation algorithm for arbitrary physical systems
Deep neural networks have become a pervasive tool in science and enginee...
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03/10/2021
Inverse Reinforcement Learning of Autonomous Behaviors Encoded as Weighted Finite Automata
This paper presents a method for learning logical task specifications an...
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01/06/2021
dame-flame: A Python Library Providing Fast Interpretable Matching for Causal Inference
dame-flame is a Python package for performing matching for observational...
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01/01/2021
Inverse reinforcement learning for autonomous navigation via differentiable semantic mapping and planning
This paper focuses on inverse reinforcement learning for autonomous navi...
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12/09/2020
Reconstruction of Backbone Curves for Snake Robots
Snake robots composed of alternating single-axis pitch and yaw joints ha...
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11/03/2020
Episodic Linear Quadratic Regulators with Low-rank Transitions
Linear Quadratic Regulators (LQR) achieve enormous successful real-world...
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11/03/2020
Random Walk Bandits
Bandit learning problems find important applications ranging from medica...
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07/17/2020
Bandits for BMO Functions
We study the bandit problem where the underlying expected reward is a Bo...
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07/01/2020
Adaptive Discretization for Model-Based Reinforcement Learning
We introduce the technique of adaptive discretization to design efficien...
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06/09/2020
Learning Navigation Costs from Demonstration with Semantic Observations
This paper focuses on inverse reinforcement learning (IRL) for autonomou...
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03/03/2020
Directional Compliance in Obstacle-Aided Navigation for Snake Robots
Snake robots have the potential to maneuver through tightly packed and c...
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02/26/2020
Learning Navigation Costs from Demonstration in Partially Observable Environments
This paper focuses on inverse reinforcement learning (IRL) to enable saf...
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11/16/2019
Instance Shadow Detection
Instance shadow detection is a brand new problem, aiming to find shadow ...
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11/16/2019
Revisiting Shadow Detection: A New Benchmark Dataset for Complex World
Shadow detection in general photos is a nontrivial problem, due to the c...
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10/23/2019
Large Scale Model Predictive Control with Neural Networks and Primal Active Sets
This work presents an explicit-implicit procedure that combines an offli...
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06/10/2019