The study explores deep and shallow slice knots in 4-manifolds, linking them to conjectures and proving existence and nonexistence results.
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CB-SLICE identifies concept-based error slices in deep learning models.
Paper uses deep reinforcement learning for network slicing and traffic prediction.
A new method optimizes projection directions for sliced Wasserstein distances.
A new method for comparing image probability measures using convolution operators.
Score matching is a popular method for estimating unnormalized statistical models. However, it has been so far limited to simple, shallow models or low-dimensional data, due to the difficulty of computing the Hessian of log-density functions. We show this difficulty can be mitigated by projecting the scores onto random…
SINF models transform arbitrary PDFs to target PDFs using 1D slices.
We propose a method based on deep learning to perform cardiac segmentation on short axis MRI image stacks iteratively from the top slice (around the base) to the bottom slice (around the apex). At each iteration, a novel variant of U-net is applied to propagate the segmentation of a slice to the adjacent slice below it…
A new metric HSW derived from hierarchical Radon Transform addresses computational bottlenecks in sliced Wasserstein.
We describe a deep learning approach for automated brain hemorrhage detection from computed tomography (CT) scans. Our model emulates the procedure followed by radiologists to analyse a 3D CT scan in real-world. Similar to radiologists, the model sifts through 2D cross-sectional slices while paying close attention to p…
Network slicing promises to provision diversified services with distinct requirements in one infrastructure. Deep reinforcement learning (e.g., deep -learning, DQL) is assumed to be an appropriate algorithm to solve the demand-aware inter-slice resource management issue in network slicing by regarding the …
Emerging resistive random-access memory (ReRAM) has recently been intensively investigated to accelerate the processing of deep neural networks (DNNs). Due to the in-situ computation capability, analog ReRAM crossbars yield significant throughput improvement and energy reduction compared to traditional digital methods.…
We introduce a technique for showing classical knots and links are not slice. As one application we show that the iterated Bing doubles of many algebraically slice knots are not topologically slice. Some of the proofs do not use the existence of the Cheeger-Gromov bound, a deep analytical tool used by Cochran-Teichner.…
Extends SW and GSW to compare heterogeneous joint distributions.
Network slicing is a key technology in 5G communications system. Its purpose is to dynamically and efficiently allocate resources for diversified services with distinct requirements over a common underlying physical infrastructure. Therein, demand-aware resource allocation is of significant importance to network slicin…
This paper aims to define and study currents and slices of currents in the Heisenberg group . Currents, depending on their integration properties and on those of their boundaries, can be classified into subspaces and, assuming their support to be compact, we can work with currents of finite mass, define t…
We introduce a new technique for showing classical knots and links are not slice. As one application we resolve a long-standing question as to whether certain natural families of knots contain topologically slice knots. We also present a simpler proof of the result of Cochran-Teichner that the successive quotients of t…
New bounds improve neural network generalization through slicing.
Study of complex moduli spaces for Kleinian groups.
In cardiac magnetic resonance imaging, fully-automatic segmentation of the heart enables precise structural and functional measurements to be taken, e.g. from short-axis MR images of the left-ventricle. In this work we propose a recurrent fully-convolutional network (RFCN) that learns image representations from the ful…
Introduces MSW distances to improve SW metrics.
Study on shake slice knots and proves 0-shake slice knots are slice.
Proposes QMC-based QSW for 3D SW distance.
Proves certain knots are slice without shaking.
We explore the potential of a popular distributional semantics vector space model, word2vec, for capturing meaningful relationships in ecological (complex polyphonic) music. More precisely, the skip-gram version of word2vec is used to model slices of music from a large corpus spanning eight musical genres. In this newl…
Proves a special knot type is slice.
New findings on knots that are both topologically and rationally slice.
Regular sliceness implies once-stably decomposable sliceness in symplectizations.
We consider linear slices of the space of Kleinian once-punctured torus groups; a linear slice is obtained by fixing the value of the trace of one of the generators. The linear slice for trace 2 is called the Maskit slice. We will show that if traces converge `horocyclically' to 2 then associated linear slices converge…
The paper defines new knot genera and finds bounds for stabilization distances.
New knots found with tough, unsliceable discs.
Proposes variance reduction techniques for sliced Wasserstein distance estimation.
We produce infinite families of knots for which the set of cables is linearly independent in the knot concordance group. We arrange that these examples lie arbitrarily deep in the solvable and bipolar filtrations of the knot concordance group, denoted by and $\{…
The study examines obstructions to links being shake slice.
A new slicing method speeds up sliced Wasserstein estimation.
A knot is said to be slice if it bounds a smooth properly embedded disk in the 4-ball. We demonstrate that the Conway knot, 11n34 in the Rolfsen tables, is not slice. This completes the classification of slice knots under 13 crossings, and gives the first example of a non-slice knot which is both topologically slice an…
Khovanov homology fails to differentiate certain slice disks.
Characterizes values of slice-torus invariants related to knot genus.
We show that if the connected sum of two knots with coprime Alexander polynomials is doubly slice, then the Ozsváth-Szabó correction terms as smooth double sliceness obstructions vanish for both knots. Recently, Jeffrey Meier gave smoothly slice knots that are topologically doubly slice, but not smoothly doubly slice. …
The study classifies slice pretzel links and Seifert fiber spaces.
Study slice-regular polynomial functions via twistor space group actions.
The paper shows some Montesinos links can't be doubly sliced strongly.
Study shows most knots in a family are not slice.
We use techniques of Freedman and Teichner to prove that, under certain circumstances, the multi-infection of a slice link is again slice (not necessarily smoothly slice). We provide a general context for proving links are slice that includes many of the previously known results.
Study on slicing knots in 4-manifolds, focusing on CP^2-slicing numbers.
New invariant measures doubly slice links, disproving previous bounds.
New knots show linear independence in slice concordance.
Study shows certain knots can't be sliced using 2-fold branched covers.