Publications

Long-term survival and functional outcomes of critically ill patients with hematologic malignancies: a Canadian multicenter prospective study
Laveena Munshi
Guillaume Dumas
Bram Rochwerg
Farah Shoukat
Michael Detsky
Dean A. Fergusson
Bruno Ferreyro
Paul Heffernan
Margaret Herridge
Sheldon Magder
Mark Minden
Rakesh Patel
Salman Qureshi
Aaron Schimmer
Santhosh Thyagu
Han Ting Wang
Sangeeta Mehta
2024-03-10
Intensive Care Medicine (published)
doi.org
Perspectives on Robotic Systems for the Visually Impaired.
Christopher Yee Wong
Rahatul Amin Ananto
Tanaka Akiyama
Joseph Paul Nemargut
AJung Moon
Many roboticists hope to build robots and develop technologies that would one day help vulnerable populations to improve their quality of li… (see more)fe. As there are over 2.2 billion people with visual impairments in the world, this vulnerable population is a prime target for robotic assistants to help. In a discussion with a Certified Orientation and Mobility Specialist, someone who helps individuals with visual impairments navigate and perform daily tasks effectively, some interesting and counterintuitive questions were raised about technological developments, particularly robots. While these devices were meant to help the BVI population, many are, in reality, not practically beneficial. In this article, we highlight certain misconceptions about the BVI population and their needs. We emphasize the mismatch between robotics research and the needs of the individuals with visual impairments, especially from the lens of HRI researchers.
2024-03-10
Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction (published)
doi.org
Prioritizing Safeguarding Over Autonomy: Risks of LLM Agents for Science
Xiangru Tang
Qiao Jin
Kunlun Zhu
Tongxin Yuan
Yichi Zhang
Wangchunshu Zhou
Meng Qu
Yilun Zhao
Jian Tang
Zhuosheng Zhang
Arman Cohan
Zhiyong Lu
Mark Gerstein
2024-03-10
ICLR.cc/2024/Workshop/LLMAgents (poster)
openreview.net
openreview.net
Generative Models for Decision Making
Bogdan Mazoure
Lisa Lee
Roberta Raileanu
Yilun Du
Walter Talbott
Katherine Metcalf
R Devon Hjelm
Alexander T Toshev
Generative Artificial Intelligence (AI) has made significant advancements in recent years, particularly with the development of large langua… (see more)ge and diffusion models. These generative models have demonstrated impressive capabilities in various tasks, such as text generation and image and audio synthesis. Concurrently, Reinforcement Learning (RL) has made significant strides in solving complex sequential decision-making problems with the help of external knowledge sources . However, there remains untapped potential in combining generative models with RL algorithms to tackle real-world challenges, particularly to improve sample efficiency of tabula rasa training by introducing priors from related domains such as visual question-answering, image captioning and image generation. This workshop aims to bring together researchers and practitioners from the fields of generative AI and reinforcement learning to explore the latest advances, methodologies, and applications. By fostering collaborations between these two domains, we intend to unlock new opportunities for addressing complex problems that lie at the intersection of both fields.
2024-03-07
ICLR.cc/2024/Workshop_Proposals (published)
openreview.net
openreview.net
Global AI Cultures
Rida Qadri
Fernando Diaz
Arjun Subramonian
Sunipa Dev
Georgina Emma Born
Mary L. Gray
Jessica Quaye
Rachel Bergmann
2024-03-07
ICLR.cc/2024/Workshop_Proposals (published)
openreview.net
openreview.net
Integrating Generative and Experimental Platforms or Biomolecular Design
Cheng-Hao Liu
Jarrid Rector-Brooks
Jason Yim
Soojung Yang
Sidney Lisanza
Francesca-Zhoufan Li
Pranam Chatterjee
Tommi Jaakkola
Regina Barzilay
David Baker
Frances H. Arnold
Yoshua Bengio
2024-03-07
ICLR.cc/2024/Workshop_Proposals (published)
openreview.net
openreview.net
Tackling Climate Change with Machine Learning: Fostering the Maturity of ML Applications for Climate Change
Shiva Madadkhani
Olivia Mendivil Ramos
Millie Chapman
Jesse Dunietz
Arthur Ouaknine
David Rolnick
Yoshua Bengio
2024-03-07
ICLR.cc/2024/Workshop_Proposals (published)
openreview.net
openreview.net
Extended Lyman-alpha emission towards the SPT2349-56 protocluster at $z=4.3$
Yordanka Apostolovski
Manuel Aravena
Timo Anguita
Matthieu Bethermin
James R. Burgoyne
Scott Chapman
C. Breuck
Anthony R Gonzalez
Max Gronke
Lucia Guaita
Yashar Hezaveh
Ryley Hill
Sreevani Jarugula
E. Johnston
M. Malkan
Desika Narayanan
Cassie Reuter
Manuel Solimano
Justin Spilker
Nikolaus Sulzenauer … (see 3 more)
Joaquin Vieira
David Vizgan
Axel Weiß
Deep spectroscopic surveys with the Atacama Large Millimeter/submillimeter Array (ALMA) have revealed that some of the brightest infrared so… (see more)urces in the sky correspond to concentrations of submillimeter galaxies (SMGs) at high redshift. Among these, the SPT2349-56 protocluster system is amongst the most extreme examples given its high source density and integrated star formation rate. We conducted a deep Lyman-alpha line emission survey around SPT2349-56 using the Multi-Unit Spectroscopic Explorer (MUSE) at the Very Large Telescope (VLT) in order to characterize this uniquely dense environment. Taking advantage of the deep three-dimensional nature of this survey, we performed a sensitive search for Lyman-alpha emitters (LAEs) toward the core and northern extension of the protocluster, which correspond to the brightest infrared regions in this field. Using a smoothed narrowband image extracted from the MUSE datacube around the protocluster redshift, we searched for possible extended structures. We identify only three LAEs at
2024-03-05
Astronomy & Astrophysics (published)
doi.org
arxiv.org
Knowledge by omission: the significance of omissions in the 5-choice serial reaction time task
Caroline Vouillac-Mendoza
Audrey Durand
Serge H. Ahmed
Karine Guillem
The 5-choice serial reaction time task (5-CSRTT) is commonly used to assess attention in rodents. Manipulation of this task by decreasing th… (see more)e light stimulus duration is often used to probe attentional capacity and causes a decrease in accuracy and an increase in omissions. However, although a decrease in response accuracy is commonly interpreted as a decrease in attention, it is more difficult to interpret an increase in omissions in terms of attentional performance. Here we present a series of experiments in rats that seeks to investigate the origins of these key behavioral measures of attention in the 5-CSRTT. After an initial training in the 5-CSRTT, rats were tested in a variable stimulus duration procedure to increase task difficulty and probe visual attentional capacity under several specific controlled conditions. We found that response accuracy reflects visuospatial sustained attentional processing, as commonly interpreted, while response omission reflects rats’ ignorance about the stimulus location, presumably due to failure to pay attention to the curved wall during its presentation. Moreover, when rats lack of relevant information, they choose not to respond instead of responding randomly. Overall, our results indicate that response accuracy and response omission thus correspond to two distinct attentional states.
2024-03-05
Psychopharmacology (published)
doi.org
Reply to: Model uncertainty obscures major driver of soil carbon
Feng Tao
Benjamin Z. Houlton
Serita D. Frey
Johannes Lehmann
Stefano Manzoni
Yuanyuan Huang
Lifen Jiang
Umakant Mishra
Bruce A. Hungate
Michael W. I. Schmidt
Markus Reichstein
Nuno Carvalhais
Philippe Ciais
Ying-Ping Wang
Bernhard Ahrens
Gustaf Hugelius
Toby Dylan Hocking
Xingjie Lu
Zheng Shi
Kostiantyn Viatkin … (see 15 more)
K. Viatkin
Ronald Vargas
Yusuf Yigini
Christian Omuto
Ashish A. Malik
Guillermo Peralta
Rosa Cuevas-Corona
Luciano E. Di Paolo
Isabel Luotto
Cuijuan Liao
Yi-Shuang Liang
Yixin Liang
Vinisa S. Saynes
Xiaomeng Huang
Yiqi Luo
2024-03-05
Nature (published)
doi.org
Efficient Causal Graph Discovery Using Large Language Models
Thomas Jiralerspong
Xiaoyin Chen
Yash More
Vedant Shah
Yoshua Bengio
2024-03-04
AGI @ International Conference on Learning Representations (poster)
doi.org
openreview.net
Excitability mediates allocation of pre-configured ensembles to a hippocampal engram supporting contextual conditioned threat in mice
Andrew J. Mocle
Adam I. Ramsaran
Alexander D. Jacob
Asim J. Rashid
Alessandro Luchetti
Lina M. Tran
Blake A. Richards
Paul W. Frankland
Sheena A. Josselyn
2024-03-04
Neuron (published)
doi.org