Seq2Seq RNN based Gait Anomaly Detection from Smartphone Acquired Multimodal Motion Data. (arXiv:1911.08608v1 [eess.SP])

Smartphones and wearable devices are fast growing technologies that, in conjunction with advances in wireless sensor hardware, are enabling ubiquitous sensing applications. Wearables are suitable for indoor and outdoor scenarios, can be placed on many parts of the human body and can integrate a large number of sensors capable of gathering physiological and behavioral biometric…

Explanation vs Attention: A Two-Player Game to Obtain Attention for VQA. (arXiv:1911.08618v1 [cs.CV])

In this paper, we aim to obtain improved attention for a visual question answering (VQA) task. It is challenging to provide supervision for attention. An observation we make is that visual explanations as obtained through class activation mappings (specifically Grad-CAM) that are meant to explain the performance of various networks could form a means of…

Intermittent Connectivity for Exploration in Communication-Constrained Multi-Agent Systems. (arXiv:1911.08626v1 [cs.RO])

Motivated by exploration of communication-constrained underground environments using robot teams, we study the problem of planning for intermittent connectivity in multi-agent systems. We propose a novel concept of information-consistency to handle situations where the plan is not initially known by all agents, and suggest an integer linear program for synthesizing information-consistent plans that also achieve…

The nonsmooth landscape of blind deconvolution. (arXiv:1911.08526v1 [math.OC])

The blind deconvolution problem aims to recover a rank-one matrix from a set of rank-one linear measurements. Recently, Charisopulos et al. introduced a nonconvex nonsmooth formulation that can be used, in combination with an initialization procedure, to provably solve this problem under standard statistical assumptions. In practice, however, initialization is unnecessary. As we demonstrate numerically,…

Projected Gradient Method for Decentralized Optimization over Time-Varying Networks. (arXiv:1911.08527v1 [math.OC])

Decentralized distributed optimization over time-varying graphs (networks) is nowadays a very popular branch of research in optimization theory and consensus theory. One of the motivations to consider such networks is an application to drone networks. However, the first theoretical results in this branch appeared only five years ago (Nedic, 2014). The first results about the…

Stability of logarithmic Sobolev inequalities under a noncommutative change of measure. (arXiv:1911.08533v1 [quant-ph])

We generalize Holley-Stroock’s perturbation argument from commutative to quantum Markov semigroups. As a consequence, results on (complete) modified logarithmic Sobolev inequalities and logarithmic Sobolev inequalities for self-adjoint quantum Markov process can be used to prove estimates on the exponential convergence in relative entropy of quantum Markov systems which preserve a fixed state. This leads to…

Causality violation without time-travel: closed lightlike paths in G\”{o}del’s universe. (arXiv:1911.08602v1 [gr-qc])

We revisit the issue of causality violations in G\”{o}del’s universe, restricting to geodesic motions. It is well-known that while there are closed timelike curves in this spacetime, there are no closed causal geodesics. We show further that no observer can communicate directly (i.e.\ using a single causal geodesic) with their own past. However, we show…

Gridspec: A standard for the description of grids used in Earth System models. (arXiv:1911.08638v1 [physics.ao-ph])

The comparative analysis of output from multiple models, and against observational data analysis archives, has become a key methodology in reducing uncertainty in climate projections, and in improving forecast skill of medium- and long-term forecasts. There is considerable momentum toward simplifying such analyses by applying comprehensive community-standard metadata to observational and model output data archives.…