output
20112026
most citedLearning robust perceptive locomotion for quadrupedal robots in the wild

793 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2023Show all

7 papers · 1 filter

cs.CE2023★ 33 cited

RNA-KG: An ontology-based knowledge graph for representing interactions involving RNA molecules

Emanuele Cavalleri, Alberto Cabri, Mauricio Soto-Gomez +9

The "RNA world" represents a novel frontier for the study of fundamental biological processes and human diseases and is paving the way for the development of new drugs tailored to…

cs.CL2023★ 5 cited

Question-Answering Approach to Evaluating Legal Summaries

Huihui Xu, Kevin Ashley

Traditional evaluation metrics like ROUGE compare lexical overlap between the reference and generated summaries without taking argumentative structure into account, which is import…

eess.IV2023★ 1 cited

Multispectral Indices for Wildfire Management

Afonso Oliveira, João P. Matos-Carvalho, Filipe Moutinho +1

The increasing frequency and severity of wildfires necessitates advanced methods for effective surveillance and management, as traditional ground-based techniques often struggle to…

cs.HC2023★ 37 cited

Humans, AI, and Context: Understanding End-Users' Trust in a Real-World Computer Vision Application

Sunnie S. Y. Kim, Elizabeth Anne Watkins, Olga Russakovsky +2

Trust is an important factor in people's interactions with AI systems. However, there is a lack of empirical studies examining how real end-users trust or distrust the AI system th…

cs.CV2023

Hypernymization of named entity-rich captions for grounding-based multi-modal pretraining

Giacomo Nebbia, Adriana Kovashka

Named entities are ubiquitous in text that naturally accompanies images, especially in domains such as news or Wikipedia articles. In previous work, named entities have been identi…

cs.LG2023

Beyond Distribution Shift: Spurious Features Through the Lens of Training Dynamics

Nihal Murali, Aahlad Puli, Ke Yu +2

Deep Neural Networks (DNNs) are prone to learning spurious features that correlate with the label during training but are irrelevant to the learning problem. This hurts model gener…

cs.RO2023★ 6 cited

Control-Tree Optimization: an approach to MPC under discrete Partial Observability

Camille Phiquepal, Marc Toussaint

This paper presents a new approach to Model Predictive Control for environments where essential, discrete variables are partially observed. Under this assumption, the belief state…