Zobrazeno 1 - 10
of 49 328
pro vyhledávání: '"P. Brennan"'
Autor:
Cao, Lianghao, Chen, Joshua, Brennan, Michael, O'Leary-Roseberry, Thomas, Marzouk, Youssef, Ghattas, Omar
We present LazyDINO, a transport map variational inference method for fast, scalable, and efficiently amortized solutions of high-dimensional nonlinear Bayesian inverse problems with expensive parameter-to-observable (PtO) maps. Our method consists o
Externí odkaz:
http://arxiv.org/abs/2411.12726
We revisit the problem of a charged particle scattering off of an Aharonov-Bohm cosmic string. A classic computation gave an infinite total scattering cross section, leading to a Callan-Rubakov-like enhancement which can have important implications o
Externí odkaz:
http://arxiv.org/abs/2411.10526
Autor:
Barbosa, João, Brennan, Jack C., Casaburi, Alessandro, Hutchings, M. D., Kirichenko, Alex, Mukhanov, Oleg, Weides, Martin
One of the most important and topical challenges of quantum circuits is their scalability. Rapid Single Flux Quantum (RSFQ) technology is at the forefront of replacing current standard CMOS-based control architectures for a number of applications, in
Externí odkaz:
http://arxiv.org/abs/2411.08670
Autor:
He, Linyang, Nie, Ercong, Schmid, Helmut, Schütze, Hinrich, Mesgarani, Nima, Brennan, Jonathan
This study investigates the linguistic understanding of Large Language Models (LLMs) regarding signifier (form) and signified (meaning) by distinguishing two LLM evaluation paradigms: psycholinguistic and neurolinguistic. Traditional psycholinguistic
Externí odkaz:
http://arxiv.org/abs/2411.07533
Autor:
Baptista, Ricardo, Pooladian, Aram-Alexandre, Brennan, Michael, Marzouk, Youssef, Niles-Weed, Jonathan
Conditional simulation is a fundamental task in statistical modeling: Generate samples from the conditionals given finitely many data points from a joint distribution. One promising approach is to construct conditional Brenier maps, where the compone
Externí odkaz:
http://arxiv.org/abs/2411.07154
Uncrewed aerial systems have tightly coupled energy and motion dynamics which must be accounted for by onboard planning algorithms. This work proposes a strategy for coupled motion and energy planning using model predictive control (MPC). A reduced-o
Externí odkaz:
http://arxiv.org/abs/2411.03189
Autor:
Doherty, Kevin, Kallina, Emma, Moylan, Kayley, Silva, María Paula, Karimian, Sajjad, Shumsher, Shivam, Brennan, Rob
We find ourselves on the ever-shifting cusp of an AI revolution -- with potentially metamorphic implications for the future practice of healthcare. For many, such innovations cannot come quickly enough; as healthcare systems worldwide struggle to kee
Externí odkaz:
http://arxiv.org/abs/2411.02067
Autonomous vehicle (AV) motion planning problems often involve non-convex constraints, which present a major barrier to applying model predictive control (MPC) in real time on embedded hardware. This paper presents an approach for efficiently solving
Externí odkaz:
http://arxiv.org/abs/2411.01286
Autor:
Okafor, Chukwudubem, Herrin, Jacob, Picu, Catalin R., Sewell, Tommy, Brennan, John, Larentzos, James, Udaykumar, H. S.
Meso-scale calculations of pore collapse and hotspot formation in energetic crystals provide closure models to macro-scale hydrocodes for predicting the shock sensitivity of energetic materials. To this end, previous works obtained atomistics-consist
Externí odkaz:
http://arxiv.org/abs/2410.22174
We distinguish between two sources of uncertainty in experimental causal inference: design uncertainty, due to the treatment assignment mechanism, and sampling uncertainty, when the sample is drawn from a super-population. This distinction matters in
Externí odkaz:
http://arxiv.org/abs/2410.21464