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169,051 papers · 148 categories

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48 results for trace utilization

TBQ(σ) improves trace utilization in off-policy reinforcement learning.

problem Efficiency of trace utilization under greedy target policies.
method Introduces TBQ(σ) that unifies tree-backup and Naive Q(λ) with a new parameter σ.
result TBQ(σ) improves efficiency in trace utilization, accelerating learning and performance.

Deep learning model improves seismic rock property estimation.

problem Estimating reservoir rock properties from seismic reflection data.
method Proposes a deep learning-based seismic inversion workflow that models seismic traces spatiotemporally.
result Achieves best performance on SEAM dataset with r2r^{2} coefficient of 79.77\%

CROP verifies clean prefixes in reasoning traces, improving downstream repair accuracy.

problem Uncertainty in reasoning traces prevents full certification of entire responses.
method CROP selects a calibrated threshold to certify the longest prefix with low risk proxies.
result CROP improves downstream repair accuracy by preserving valid reasoning and discarding misleading suffixes.

New gauge preserves Einstein metrics' interactions, proving rigidity on negatively curved manifolds.

problem Stability and deformation theory of Einstein metrics.
method Introduces Chen-Nagano gauge condition, linking Lichnerowicz Laplacian to shifted scalar operator.
result Chen-Nagano gauge collapses to classical transverse-traceless gauge under spectral pinching assumptions.

We derive exponential tail inequalities for sums of random matrices with no dependence on the explicit matrix dimensions. These are similar to the matrix versions of the Chernoff bound and Bernstein inequality except with the explicit matrix dimensions replaced by a trace quantity that can be small even when the dimens…

2011-04-09abs ↗pdf ↗

Generative model for condensed matter using Riemannian flow matching.

problem Sampling equilibrium distributions in condensed-phase systems.
method Riemannian flow matching to incorporate periodicity, using Hutchinson's trace estimator and cumulant expansion for bias correction.
result Highly accurate free energy estimates on monatomic ice without multistage estimators.

Derives Selberg trace formula on Riemann surfaces and generalizes to other spaces.

problem Deriving and generalizing the Selberg trace formula.
method Supersymmetric localization principle and path integral derivation.
result Derives Selberg trace formula on arbitrary compact Riemann surfaces and generic compact locally symmetric spaces.

CausalSim corrects bias in trace-driven simulations for more accurate results.

problem Bias in trace-driven simulations due to system conditions during trace collection.
method CausalSim learns a causal model of system dynamics and latent factors from an RCT to remove bias from trace data.
result CausalSim reduces simulation errors by 53% and 61% compared to baselines, providing more accurate insights.

This paper investigates the strength of the trace field as a commensurability invariant of hyperbolic 3-manifolds. We construct an infinite family of two-component hyperbolic link complements which are pairwise incommensurable and have the same trace field, and infinitely many 1-cusped finite volume hyperbolic 3-manifo…

2007-08-08abs ↗pdf ↗

Clarifies a trace for Heisenberg operators on contact manifolds.

problem Calculating the index of Heisenberg elliptic operators on contact manifolds.
method Introduced a new trace on Heisenberg pseudodifferential operators and constructed a cocycle in periodic cyclic cohomology.
result Simplified the construction of the trace on Heisenberg pseudodifferential operators.

Researchers compute trace formula for magnetic Laplacian on hyperbolic surfaces.

problem Analyzing the magnetic Laplacian on compact hyperbolic surfaces.
method Computed the trace formula for magnetic Laplacian energies above the Mane critical level.
result Asymptotic behavior of trace formula coefficients near the Mane critical level.

Introduces expected eligibility traces for more efficient credit assignment in reinforcement learning.

problem Efficiently assigning credit to states and actions in reinforcement learning.
method Introduces expected eligibility traces, allowing updates to counterfactual sequences.
result Substantial improvements in temporal-difference learning can be achieved with expected traces.

This paper develops source traces for faster TD learning.

problem Improving temporal difference learning speed and generalization.
method Introduces source traces as a backward view of successor representations, enabling TD errors to be propagated to potential causal states.
result Demonstrates faster generalization and improved performance of source traces compared to previous methods.

We study new invariants of elliptic partial differential operators acting on sections of a vector bundle over a closed Riemannian manifold that we call the relativistic heat trace and the quantum heat traces. We obtain some reduction formulas expressing these new invariants in terms of some integral transforms of the u…

2016-11-11abs ↗pdf ↗

New hyperbolic manifolds found with same trace ring.

problem Finding non-commensurable hyperbolic manifolds with identical trace rings.
method Proved existence of infinitely many non-commensurable manifolds with same ambient group and trace ring.
result Infinitely many non-commensurable hyperbolic manifolds with the same ambient group and trace ring.

Sub-Riemannian Selberg trace formulae for compact quotients of SL(2, R)

problem Computing zeta-regularized determinants of sub-Laplacians
method Using Fourier decomposition and Selberg trace formulae
result Compact determinant formula expressed in terms of base hyperbolic surface and relative Selberg product

Proposes GTTN for discovering all low-rank structures in deep multi-task learning.

problem Discovering all low-rank structures among tasks in deep multi-task models.
method Introduces GTTN, a convex combination of matrix trace norms of all tensor flattenings, to automatically determine the importance of components.
result Demonstrates the effectiveness of GTTN on real-world datasets.

A novel method for parallel transport and geodesics on submanifolds.

problem Understanding parallel transport and geodesics on submanifolds.
method Rolling tangent space to visualize and analyze parallel transport and geodesics.
result Conditions for parallel transport and geodesics are simplified and visualized in the tangent space.

Develops trace class operators and inverse Laplacian theory for infinite dimensions.

problem Understanding trace class operators and inverse Laplacian on infinite dimensional spaces.
method Presentation of trace class operators and construction of inverse Laplacian on closed manifolds.
result Original trace computations involving the inverse Laplacian on the torus.

To a closed braid in a solid torus we associate a trace graph in a thickened torus in such a way that closed braids are isotopic if and only if their trace graphs can be related by trihedral and tetraherdal moves. For closed braids with a fixed number of strands, we recognize trace graphs up to isotopy and trihedral mo…

2008-08-20abs ↗pdf ↗

Given a link LS3L\subset S^3, a representation π1(S3L)SL(2,C)π_1(S^3-L)\to{\rm SL}(2,\mathbb{C}) is {\it trace-free} if it sends each meridian to an element with trace zero. We present a method for completely determining trace-free SL(2,C){\rm SL}(2,\mathbb{C})-representations for arborescent links. Concrete computations are done for a …

2017-07-10abs ↗pdf ↗

The paper proposes using non-isotropic distances for more accurate trace link recommendation.

problem Time-consuming and error-prone creation and maintenance of trace links.
method Geometric viewpoint on semantic similarity using non-linear similarity measures.
result Non-isotropic distances improve trace link recommendation accuracy.